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Thermo Fisher Scientific

Associate Biostatistician

Sr Data Analyst

<h2 id="about-stripe">About Stripe</h2> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h2 id="about-the-team">About the team</h2> Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make decisions and grow responsibly. We’re looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity, quantifying risk exposure), how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. <h2 id="what-youll-do">What you'll do</h2> We’re looking for a variety of Data Scientists to partner with the Product, Finance, Payments, Risk, Growth and Go-to-Market teams. You’ll work closely with a specific part of the business, playing a crucial role in optimizing our systems and leveraging data to make strategic business decisions. As Data Scientists as Stripe, it’s our mission to ensure that the company strategy, products, and user interactions make smart use of our rich data, using techniques like machine learning, statistical modeling, causal inference, optimization, experimentation, and all forms of analytics. <h2 id="who-you-are">Who you are</h2> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h2 id="minimum-requirements">Minimum Requirements</h2> <ul> <li>2-8+ years of data science/quantitative modeling experience </li> <li>Proficiency in SQL and a computing language such as Python or R </li> <li>Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation </li> <li>Experience in working with cross-functional teams to deliver results </li> <li>Ability to communicate results clearly and a focus on driving impact </li> <li>A demonstrated ability to manage and deliver on multiple projects with a high attention to detail </li> <li>Solid business acumen and experience in synthesizing complex analyses into actionable recommendations </li> <li>A builder's mindset with a willingness to question assumptions and conventional wisdom </li> </ul> <h3 id="preferred-qualifications">Preferred qualifications </h3> <ul> <li>Experience deploying models in production and adjusting model thresholds to improve performance </li> <li>Experience designing, running, and analyzing complex experiments or leveraging causal inference designs </li> <li>Experience with distributed tools such as Spark, Hadoop, etc. </li> <li>A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research) </li> </ul> **This role is not eligible for hire in the Greater Seattle Area or San Francisco Bay Area This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $146,900 - $251,200. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Chicago Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#">Apply for this role </a>

Stripe

Data Scientist

At Coinbase, our mission is to<a href="https://blog.coinbase.com/our-mission-strategy-and-culture-18a92a3bb0fa" target="_blank"> increase economic freedom around the world</a>, and we couldn’t do this without hiring the best people. We’re a group of hard-working overachievers who are deeply focused on building the future of finance and Web3 for our users across the globe, whether they’re trading, storing, staking or using crypto. Know those people who always lead the group project? That’s us. There are a few things we look for across all hires we make at Coinbase, regardless of role or team. First, we look for candidates who will thrive in a<a href="https://blog.coinbase.com/culture-at-coinbase-f0e1c2a99aff" target="_blank"> culture</a> like ours, where we default to trust, embrace feedback, and disrupt ourselves. Second, we expect all employees to commit to our<a href="https://blog.coinbase.com/coinbase-is-a-mission-focused-company-af882df8804" target="_blank"> mission-focused approach</a> to our work. Most importantly, we seek people who are excited about crypto, because those are the folks who enjoy the intense moments in our sprint and recharge work culture. We’re a remote-first company looking to hire the absolute best talent all over the world. Who you are: <ul> <li>You’ve got positive energy. You’re optimistic about the future and determined to get there. </li> <li>You’re never tired of learning. You want to be a pro in bleeding edge tech like DeFi, NFTs, DAOs, and Web 3.0. </li> <li>You appreciate direct communication. You’re both an active communicator and an eager listener - because let’s face it, you can’t have one without the other. You’re cool with candid feedback and see every setback as an opportunity to grow.</li> <li>You can pivot on the fly. Crypto is constantly evolving, so our priorities do, too. What you worked on last month may not be what you work on today, and that excites you. You’re not looking for a boring job.</li> <li>You have a “can do” attitude. Our teams create high-quality work on quick timelines. Owning a problem doesn’t scare you, but rather empowers you to take 100% responsibility for achieving our mission.</li> <li>You want to be part of a winning team. We’re stronger together, and you’re a person who embraces being pushed out of your comfort zone. </li> </ul> Team/ Role The Coinbase Customer Experience (CX) organization plays an imperative role in achieving our mission. Our team is dedicated to eliminating compliance challenges, empowering our customer experience via self-service and automation, and optimizing customer support interactions to build an effortless experience. As a Data Analyst on our team, you will own and drive projects that create meaningful business impact. You’ll have the opportunity to transform data into valuable business insights and help shape our strategy to deliver maximum impact to our customers, while also heavily influencing strategy, planning, and execution. What you’ll be doing <ul> <li>Improve customer compliance operations by developing bar raising metrics, self-service tools, and deep analyses that drive actionable insights</li> <li>Collaborate with stakeholders to manage tactical and strategic needs of the business</li> <li>Proactively identify opportunity areas for improvement including deep dive investigations and processes to better serve our customers</li> <li>Understand data resources and know when, how, and which best to use for each project</li> <li>Ability to frame and break down complex business problems into key components and recommend practical solutions</li> <li>Monitor key performance metrics and use data to identify actionable opportunities to increase efficiency and make high-quality decisions that drive performance improvements</li> <li>Build a collaborative team environment that fosters efficient execution, innovation, and continuous improvement</li> <li>Develop and support the analytical technologies that give our team timely, flexible, and structured access to their data</li> </ul> What we look for in you <ul> <li>3-4+ years of relevant experience, 2+ years of experience working directly with or within compliance functions including but not limited to Anti-Money Laundering, Transaction Monitoring, Audit, and Financial Crimes</li> <li>Advanced SQL and data modeling skills, Python experience a plus</li> <li>Proficient using at least one data visualization product (Looker, Tableau, QuickSight, etc.)</li> <li>Excellent written and verbal communication skills are required, including experience meeting with and communicating information to senior leadership</li> <li>Highly collaborative, with an ability to optimally secure inputs from many cross-functional partner teams</li> <li>Ability to think strategically, formulate appropriate analytical solutions, and execute in order to solve business needs</li> </ul> Nice to haves: <ul> <li>Report automation experience (e.g. using Python, R)</li> <li>Knowledge of AWS services and cloud computing</li> <li>Experience with descriptive and inferential statistics</li> <li>Experience with financial industry regulations</li> <li>Experience with operations and compliance metrics/data</li> </ul> Job ID: P61900 Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $131,325—$154,500 USD <h3>Commitment to Equal Opportunity</h3> Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice <a href="https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf" target="_blank">here</a>. Additionally, Coinbase participates in the <a href="https://static-assets.coinbase.com/e-verify.pdf" target="_blank">E-Verify program</a> in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site <a href="https://chrome.google.com/webstore/detail/chromevox/kgejglhpjiefppelpmljglcjbhoiplfn" target="_blank">click here to download</a> a free compatible screen reader <a href="http://www.chromevox.com/tutorial/" target="_blank">(free step by step tutorial can be found here)</a>. <h3>Global Data Privacy Notice for Job Candidates and Applicants</h3> Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available <a href="https://www.coinbase.com/legal/applicant_privacy_notice" target="_blank">here</a>. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined <a href="https://www.coinbase.com/legal/application-arbitration-agreement" target="_blank">here.</a>

Coinbase

Data Analyst

<h1>Who we are</h1> <h2 id="about-stripe">About Stripe </h2> Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. <h2 id="about-the-teams-multiple-roles-available">About the teams (multiple roles available)</h2> Growth Data Science The Growth Data Science team helps businesses accelerate their journey to accept payments on Stripe, and find the financial products they need to grow their business. We achieve our goals through experimentation, forecasting, attribution modeling, personalization and algorithmic recommendations. We partner with Marketing, Sales and Self-Serve Product teams to develop intelligent data products and insights, and create go-to-market strategies to drive product discovery, adoption and retention. Developer Experience and Platform Product (DEeP) Data Science DEeP is a central infrastructure team that builds platforms that enable teams across Stripe to offer a better user experience. The DEeP Data Science team provides data, metrics and insights to improve key features of the Stripe user experience including the Stripe Dashboard, developer tools, API policies, Stripe Apps, and more. DEeP DS works closely with other functions to build scalable data solutions, inform strategy, provide observability, and run experiments. <h1>What you’ll do</h1> Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. <h2 id="responsibilities">Responsibilities</h2> <ul> <li>Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven. </li> <li>Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing. </li> <li>Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe </li> <li>Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers. </li> <li>Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team </li> <li>Contribute to broad data science initiatives as a member of Stripe’s data science management team. </li> </ul> <h1>Who you are</h1> We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. <h2 id="minimum-requirements">Minimum requirements</h2> <ul> <li>You have at least 3 years of direct management experience leading data science and ML teams, and 10 years of overall data science experience. </li> <li>You have demonstrated expertise in designing metrics and guiding business decisions with data. </li> <li>You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions. </li> <li>You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems. </li> <li>You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs. </li> <li>You have clear and persuasive communication skills in writing and verbally. </li> <li>You thrive on a high level of autonomy and responsibility. </li> <li>You foster a healthy, inclusive, challenging, and supportive work environment. </li> </ul> <h2 id="preferred-qualifications">Preferred qualifications</h2> <ul> <li>A PhD or MS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering). </li> <li>You are comfortable working with geographically distributed teams </li> <li>Expertise in time series forecasting, predictive modeling, or optimization </li> <li>Expertise in data design and building scalable data architectures </li> </ul> This role is available either in an office or a remote location (typically, 35+ miles or 56+ km from a Stripe office). Office-assigned Stripes spend at least 50% of the time in a given month in their local office or with users. This hits a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility about how to do this in a way that makes sense for individuals and their teams. A remote location, in most cases, is defined as being 35 miles (56 kilometers) or more from one of our offices. While you would be welcome to come into the office for team/business meetings, on-sites, meet-ups, and events, our expectation is you would regularly work from home rather than a Stripe office. Stripe does not cover the cost of relocating to a remote location. We encourage you to apply for roles that match the location where you currently or plan to live. The annual US base salary range for this role is $207,800 - $311,600. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends. Office locations Chicago, Toronto, New York, or Seattle Remote locations Remote in United States Team Data &amp; Data Science Job type Full time <a href="#">Apply for this role </a>

Data Science Manager

<h2>About the team</h2>AI products at Zillow help millions of people find the best home for them with less stress and more visibility. Zillow scientists develop a variety of ML models (natural language understanding, computer vision, recommendation systems) that enables our customers to find and move to their next home. Join the team that develops end to end platform powering AI research and development at Zillow! As a member of the AI Platform team, you will help define Zillow’s approach to Artificial Intelligence research &amp; Products, powering products like home value estimation, economic research, personalized recommendations and semantic search etc. You will work on building powerful ML infrastructure enabling containerized services, performing distributed computations at scale, empowering continuous research &amp; deployments of ML models, evaluations and monitoring. Learn more about what we are doing at <a href="https://www.zillow.com/data-science" target="_blank">https://www.zillow.com/data-science</a> and <a href="https://www.zillow.com/engineering" target="_blank">https://www.zillow.com/engineering</a><h2>About the role</h2>We are looking for a Principal Software Development Engineer to help us build the next generation of AI infrastructure powering multiple Zillow products. The position gives you opportunities to:<ul> <li>Craft and build scalable infrastructure for orchestrating end to end machine learning lifecycle from experimentation phase to production jobs &amp; services</li> <li>Build the roadmap and lead the team towards success in building the next-gen AI infrastructure, which supports AI workload at 10x scale plus governance &amp; compliance requirements</li> <li>Work with a variety of technologies such as Kubernetes, KNative, Argo, Databricks, Kafka, Tensorflow etc.</li> <li>Collaborate with Applied Scientists, Machine Learning Engineers and cross functional teams in crafting and implementing your technical vision</li> <li>Work closely with our data infrastructure team to build the data systems and stores that power ML models</li> <li>Collaborate with various teams (Product, Engineering) to scope and deliver platform solutions </li> </ul>This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC the standard base pay range for this role is $186,300.00 - $297,700.00 Annually. This base pay range is specific to California, Colorado, Connecticut, Hawaii, Nevada, New York, Washington state, and Washington DC and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location.<h2>Who you are</h2>Basic Qualifications:<ul> <li>A degree (BS+) in Computer Science or a related field. Masters in Computer Science preferred</li> <li>5+ years of experience with Machine Learning, data and/or backend web services &amp; infrastructure</li> <li>2+ years of experience with platform solutions for large scale AI applications</li> <li>Experience working with cloud services (AWS/Azure/GCP)</li> <li>Excellent interpersonal skills and passionate about collaborating across organizational boundaries</li> </ul>Nice to haves:<ul> <li>Have vision and passion to make Machine Learning development easier for ML Practitioners </li> <li>Experience developing sophisticated software systems scaling to millions of users with production quality deployment, monitoring and reliability</li> <li>Experience with Databricks (for data and/or ML use cases)</li> <li>Experience with building low latency, high reliability Web Services (K8s, KNative services)</li> <li>Experience with Machine Learning Frameworks (e.g. PyTorch, Keras, Tensorflow, XGBoost)</li> <li>Experience with modern data technologies (Spark, Hive, Kafka, Beam, Airflow)</li> </ul> Transferable Skills Here at Zillow - we value the experience and perspective of candidates with non-traditional backgrounds. We encourage you to apply if you have transferable skills or related experiences.<h2>Get to know us</h2>Zillow is reimagining real estate to make home a reality for more and more people.As the most-visited real estate website in the United States, Zillow® and its affiliates help movers find and win their home through digital solutions, first class partners, and easier buying, selling, financing and renting experiences. Millions of people visit Zillow Group sites every month to start their home search, and now they can rely on Zillow to help make it easier to move. The work we do helps people get home and no matter what job you're in, you will play a critical role in making home a reality for more and more people.Our efforts to streamline the real estate transaction are supported by a deep-rooted culture of innovation, our passion to redefine the employee experience, a fundamental commitment to Equity and Belonging, and <a href="https://www.zillow.com/careers/benefits/" target="_blank">world-class benefits</a>. These benefits include comprehensive medical, dental, vision, life, and disability coverages as well as parental leave, family benefits, retirement contributions, and paid time off. We’re also setting the standard for work experiences of the future, where our employees are supported in doing their best work and living a flexible, well-balanced life. But don’t just take our word for it. Read recent reviews on <a href="https://www.glassdoor.com/Overview/Working-at-Zillow-EI_IE40802.11,17.htm" target="_blank">Glassdoor</a> and recent recognition from multiple organizations, including: the 100 Best Companies to Work For, Glassdoor Employees’ Choice Award, Bloomberg Gender-Equality Index, Human Rights Campaign (HRC) Corporate Equity Index, and TIME <a href="http://time.com/100companies" target="_blank">100 Most Influential Companies</a> list.Zillow Group is an equal opportunity employer committed to fostering an inclusive, innovative environment with the best employees. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please contact your recruiter directly.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable state and local law.Applicants who receive job offers from Zillow Group will be asked to sign a Proprietary Rights Agreement which includes confidentiality, intellectual property assignment, customer and employee non-solicitation, and non-competition provisions. If you are contacted for a role at Zillow Group and wish to review a copy of the Proprietary Rights Agreement prior to receiving an offer, you may request a copy from your Recruiter.

Zillow

Principal Software Development Engineer - AI Platform

About Pinterest: Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet. Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences. Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our <a href="https://www.pinterestcareers.com/our-life/pinflex/" target="_blank">PinFlex</a> landing page to learn more. Quality data labels are critical to our evaluation and machine learning efforts across at Pinterest and are often used to guide teams toward a North Star that is either difficult or noisy to define using engagement measures. However, labeling with human evaluators at scale has limitations in both cost and time - it can be time-intensive to accurately define the tasks, costly to get large volumes of labels, and slow to collect the data. We’re looking for a data scientist to join our team in pushing the boundaries of the mechanisms through which we obtain labels at scale - from statistical approaches that can better inform the labels we collect to prototypes to automatically craft prompts for LLMs to address the needed tasks. You will be a key member of an organization of talented data scientists innovating on data platforms and tools across the company. What you’ll do: We are looking for an experienced and highly capable Data Scientist to help us drive step function improvements in our data labeling capabilities at Pinterest. In this role, you will: <ul> <li> Apply data science and analytics to identify opportunities to improve the throughput and quality of the data collection approaches used to collect labels today -- quantify the impact these improvements will have on our pace of innovation, and prototype solutions that measurably improve the outcome for the platform. </li> </ul> Build a roster of high-impact analytical opportunities that improve velocity, clarity and trust in our labeled data collection solutions. <ul> <li> Collaborate with customers of the platforms to understand whether data observations reflect their problems and pain-points, and with engineers to scale your successful prototypes to become integral components of the platform.</li> <li> Up-level data scientists across the organization through mentorship, partnership and constructive feedback.</li> <li> Evolve our strategy in close partnership with product and engineering leaders by building on the learnings uncovered by yourself and partners and shaping the evolution of our platforms and tools.</li> </ul> What we’re looking for: <ul> <li>8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on large-scale data </li> <li>5+ years of hands-on experience as an individual contributor using a deep understanding of scientific methods applied to data to drive business decisions</li> <li>Proven track record of crafting high quality algorithmic code and identifying opportunities for efficiency and performance improvements through statistical methods</li> <li>Experience with developing high quality prompts for LLMs</li> <li>Demonstrated execution and impact on cross-functional initiatives, strong communication skills, and a track record of influencing leaders and peers using data</li> <li>Self-propelled continuous learner who keeps up with new tools and methodologies and builds prototypes with concepts learned</li> <li>Strong business and product sense who can shape vague questions into well-defined analyses and success metrics that drive business decisions</li> <li>Bachelor’s degree in a relevant field such as Computer Science, or equivalent experience</li> </ul> Relocation Statement: <ul> <li>This position is not eligible for relocation assistance. Visit our<a href="https://www.pinterestcareers.com/pinflex/" target="_blank"> PinFlex</a> page to learn more about our working model.</li> <li>This role will need to be in the office for in-person collaboration 3-5 times/quarter and therefore can be situated anywhere in the country.</li> </ul> #LI-NM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found <a href="https://www.pinterestcareers.com/pinterest-life/" target="_blank">here</a>. US based applicants only $163,064—$335,720 USD Our Commitment to Diversity: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete <a href="https://forms.gle/sS24D4WboEKUZMQK6" target="_blank">this form</a> for support.

Pinterest

Staff Data Scientist, Data Platforms

Full Job Description: <a href="https://drive.google.com/file/d/1mLoHXeAjFXThhsHKYM_6ujQxdW37y8Zd/view" target="_blank">Director of Data Strategy and Analytics</a> Grade: Business Grade 11 | BG-11 Tulsa Public Schools’ existing salary schedules provide career increment adjustments based on education/experience and/or years of creditable service. For more information about the salary for this specific position please review the <a href="https://www.tulsaschools.org/about/teams/talent-management/compensation" target="_blank">Salary Schedule</a> for the corresponding Salary Grade (listed above). For more information on our comprehensive benefits packages, please visit: <a href="https://www.tulsaschools.org/careers/comp-benefits" target="_blank">Compensation and Benefits website</a>. Position Summary: The director of data strategy and analytics leads the district in the development, adoption, and implementation of a comprehensive data strategy. This involves the execution of key internal districtwide data work and the leadership and coordination of external partnerships to support students, families, and district staff. This work will help to support our district in achieving the goals set out by the strategic plan. Minimum Qualifications: Education: • Bachelor’s degree (in area of mathematics, statistics, economics, or related field) • Advanced degree preferred Experience: • Five (5) years full-time work experience • Three (3) years working in a data-related role • Experience in leading cross-functional teams Specialized Knowledge, Licenses, Etc.: • Proficient in Microsoft Office Suite and Google Workspace Suite • Bilingual in Spanish preferred • Proficiency in R, Python, Stata, or other statistical programming language

Tulsa Public Schools

Director of Data Strategy and Analytics

Overview This is a remote role that may only be hired in the following location(s): NC, NJ, AZ, FL The Business Analyst – Database Platform Technology and Support Services plays a critical role in supporting the implementation and management of advanced database protection, analysis, and data related technology solutions. The role focuses on enabling data masking, encryption in transit, file-level encryption for restricted and confidential structured data systems and applications, testing of technology systems, querying databases, managing database assets, project tracking, invoice processing, tracking of security exceptions and identified risks, and general administrative functions. The ideal candidate will possess strong analytical and technical skills, coupled with the ability to collaborate with cross-functional teams to ensure compliance with enterprise data protection standards. Responsibilities <ol><li> Requirements Gathering &amp; Analysis</li></ol> <ul> <li> Engage with stakeholders to gather and document business requirements for data masking, encryption in transit, and encryption at rest solutions.</li> <li> Develop use cases, process flows, and system specifications for structured data systems classified as restricted or confidential.</li> <li> Analyze existing systems and processes to identify gaps and recommend solutions aligned with data protection policies.</li> </ul> <ol start="2"><li> Technical Analysis &amp; Solutions Design</li></ol> <ul> <li>Collaborate with technical teams to assess encryption protocols (e.g., TLS 1.2/1.3) and file-level encryption methodologies.</li> <li>Evaluate and recommend data masking strategies for non-production environments, ensuring sensitive data is appropriately obfuscated.</li> <li>Work closely with system architects to design integrations and implementations that enhance data security.</li> </ul> <ol start="3"><li> Policy Alignment &amp; Compliance</li></ol> <ul> <li>Ensure solutions meet organizational and regulatory requirements for data protection, including compliance with internal classifications of restricted and confidential data.</li> <li>Partner with data governance, privacy, and compliance teams to align processes with enterprise standards and policies.</li> <li>Maintain a thorough understanding of applicable frameworks, such as GDPR, CCPA, and industry best practices for data security.</li> </ul> <ol start="4"><li> Documentation &amp; Reporting</li></ol> <ul> <li>Create detailed documentation, including technical specifications, functional requirements, and standard operating procedures (SOPs) for database protection services.</li> <li>Develop dashboards and reports to monitor data protection activities, including compliance with encryption and masking standards.</li> <li>Maintain project documentation to track progress and ensure alignment with objectives.</li> </ul> <ol start="5"><li> Testing &amp; Quality Assurance</li></ol> <ul> <li>Support testing efforts, including data masking validation and encryption functionality testing.</li> <li>Coordinate user acceptance testing (UAT) to ensure solutions meet both business and technical requirements.</li> <li>Identify and resolve defects or gaps in implemented solutions.</li> </ul> <ol start="6"><li> Stakeholder Collaboration</li></ol> <ul> <li>Act as a liaison between business units, IT, and data protection teams to ensure shared understanding of objectives and requirements.</li> <li>Facilitate workshops and meetings to gather feedback, present findings, and gain approval for proposed solutions.</li> <li>Collaborate with external vendors and consultants on the implementation of tools and technologies supporting database protection services.</li> </ul> <ol start="7"><li> Project Support</li></ol> <ul> <li>Contribute to the development of project plans, timelines, and resource allocation for initiatives involving database protection.</li> <li>Provide ongoing support for projects, including troubleshooting and process optimization.</li> <li>Assist with post-implementation reviews to identify areas for improvement and future enhancements.</li> </ul> Qualifications Bachelor's Degree and 2 years of experience in Systems Support, or Analytics, or Operational Support OR High School Diploma or GED and 6 years of experience in Systems Support, or Analytics, or Operational Support Preferred: 3-5 years of experience as a Business Analyst or similar role in data protection, database management, IT security, or comparable work experience. <ul> <li> Experience with tools required to support the business analyst role, i.e., Microsoft Office Suite, testing and analytical tools, reporting systems, etc.</li> <li> Strong understanding of enterprise data classification schemes and their application to restricted and confidential data.</li> <li> Proficiency with tools like SQL, data visualization platforms (e.g., Power BI), and workflow management tools (e.g., Jira, Confluence).</li> <li> Familiarity with regulatory frameworks such as HIPAA, GDPR, or CCPA related to data security and privacy.</li> <li> Knowledge of database systems, including SQL Server, Oracle, PostgreSQL, or DB2.</li> <li> Certifications such as CBAP, CIPT, or security-related credentials (e.g., CISSP) are a plus, but not required</li> </ul> Key Competencies <ul> <li> Technical Aptitude: Strong understanding of encryption and data masking technologies and their implementation.</li> <li> Analytical Thinking: Ability to assess complex systems and recommend effective data protection solutions.</li> <li> Attention to Detail: Ensures accuracy in requirements, testing, and documentation.</li> <li> Collaboration: Works effectively with cross-functional teams to achieve project objectives.</li> <li> Problem-Solving: Addresses challenges with innovative and practical solutions.</li> </ul> Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at <a href="https://jobs.firstcitizens.com/benefits" target="_blank">https://jobs.firstcitizens.com/benefits</a>.

SVB Financial Group

What you can expectAs a Software Engineer, you will play a key role in designing and implementing critical general web based and AI-embedded applications for Zoom. You will collaborate closely with teams from AI, Meeting, Phone, Big data, Data Engineering, and Cloud-Native to build business features of Zoom products. The ideal candidate will majorly focus on back-end development and have experience interacting with the front-end.About the teamThe AI application engineering team is dedicated to building cutting-edge products, and providing tools for customers in sales, contact center, training, management and other fields. Our products are highly AI embedded with LLM analysis, ASR, and image processing. These products are user-facing, friendly and robust webbased applications. Responsibilities<ul> <li>Collaborate with cross-functional teams to define, design, implement and ship new features and applications.</li> <li>Ensuring software reliability and quality by participating in code reviews, testing, and debugging.</li> <li>Implementing AI solutions solves complex problems. Integrate AI services and algorithms into applications.</li> <li>Work on backend services and databases, ensuring high performance and responsiveness to front-end requests.</li> <li>Continuously discover, evaluate, and implement new technologies to maximize development efficiency and improve product quality.</li> <li>Documenting code, algorithms, and technical processes for internal and external reference.</li> </ul>What we are looking for<ul> <li>Master’s degree in Computer Science, Software Engineering, AI/ML, or related field</li> <li>Have proficiency in programming languages such as Java, Python, Ruby, or C++, etc. </li> <li>Experience with AI applications, integrations, and prompt engineering. </li> <li>Be familiar with cloud services, database management, and web technologies </li> <li>Experience of developing and managing high-traffic web applications </li> <li>Experience with RDBMS, such as MySQL, NoSQL</li> <li>Experience of designing backend APIs, database schemas, and backend microservices to power a sophisticated user-facing product. </li> </ul>Salary Range or On Target Earnings:Minimum:$171 800,00Maximum:$375 900,00In addition to the base salary and/or OTE listed Zoom has a Total Direct Compensation philosophy that takes into consideration; base salary, bonus and equity value.Note: Starting pay will be based on a number of factors and commensurate with qualifications &amp; experience.We also have a location based compensation structure; there may be a different range for candidates in this and other locationsAt Zoom, we offer a window of at least 5 days for you to apply because we believe in giving you every opportunity. Below is the potential closing date, just in case you want to mark it on your calendar. We look forward to receiving your application!Anticipated Position Close Date:01/24/25Ways of Working Our structured hybrid approach is centered around our offices and remote work environments. The work style of each role, Hybrid, Remote, or In-Person is indicated in the job description/posting.Benefits As part of our award-winning workplace culture and commitment to delivering happiness, our benefits program offers a variety of perks, benefits, and options to help employees maintain their physical, mental, emotional, and financial health; support work-life balance; and contribute to their community in meaningful ways. Click <a href="https://careers.zoom.us/benefits" target="_blank">Learn</a><a href="http://careers.zoom.us/benefits" target="_blank"> </a>for more information.About Us Zoomies help people stay connected so they can get more done together. We set out to build the best collaboration platform for the enterprise, and today help people communicate better with products like Zoom Contact Center, Zoom Phone, Zoom Events, Zoom Apps, Zoom Rooms, and Zoom Webinars. We’re problem-solvers, working at a fast pace to design solutions with our customers and users in mind. Here, you’ll work across teams to deliver impactful projects that are changing the way people communicate and enjoy opportunities to advance your career in a diverse, inclusive environment. Our Commitment​ We believe that the unique contributions of all Zoomies is the driver of our success. To make sure that our products and culture continue to incorporate everyone's perspectives and experience we never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Zoom is proud to be an equal opportunity workplace and is an affirmative action employer. All your information will be kept confidential according to EEO guidelines.We welcome people of different backgrounds, experiences, abilities and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law. If you need assistance navigating the interview process due to a medical disability, please submit an <a href="https://form.asana.com/?k=OIuqpO5Tv9XQTWp1bNYd8w&amp;d=1127274756253361" target="_blank">Accommodations Request Form</a> and someone from our team will reach out soon. This form is solely for applicants who require an accommodation due to a qualifying medical disability. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed.#LI-Remote

57 Data Science Jobs in United States