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<h2> This is Data Science at Lattice </h2> As a Data Engineer on our Data Science team, you will play a pivotal role in designing, building, and optimizing our data infrastructure to support data-driven decision-making across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to deliver high-quality data solutions that meet business needs. Your responsibilities will include writing production-level data transformations, managing ETL processes, and ensuring the performance and reliability of our data warehouse. With your expertise in SQL, Python, and data orchestration tools like Airflow, you will drive best practices and contribute to the velocity of our team and the continuous improvement of our tech stack. <h2>What You Will Do</h2> <ul> <li>Write production-level data transformations to support stakeholders across data and business intelligence applications</li> <li>Create documentation and testing to ensure that our data is accurate and easily understandable</li> <li>Maintain and optimize performance of our data warehouse by designing efficient tables and storage processes</li> <li>Share methodologies and instruct other data team members on how to best write data transformations</li> <li>Collaborate with cross-functional teams to support data-driven initiatives and projects.</li> <li>Discover and institute best practices to ensure data quality across all facets of the data team</li> <li>Research and implement new tooling to enhance our tech stack</li> <li>Manage our ETL and other orchestrated processes through third party tools and first-party tools such as Airflow</li> <li>Enforce code quality by identifying and reducing tech debt, standardizing styles, and removing deprecated objects from code and downstream locations</li> <li>Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions</li> </ul> <h2>What You Will Bring to the Table</h2> <ul> <li>Fluency in SQL and dbt </li> <li>Proficiency in Python</li> <li>Experience with git and cloud platforms (e.g. AWS)</li> <li>Knowledge of data orchestration tools like Airflow, Prefect, or Dagster</li> <li>Excellent communication and collaboration skills</li> <li>High attention to detail and ability to think structurally about a solution </li> <li>Experience with a BI Tool (preferably Looker)</li> </ul> The estimated annual cash salary for this role is $123,000 - $154,000. This position is also eligible for incentive stock options, subject to the terms of Lattice’s applicable plans. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: Medical insurance; Dental insurance; Vision insurance; Life, AD&amp;D, and Disability Insurance; Emergency Weather Support; Wellness Apps; Paid Parental Leave, Paid Time off inclusive of holidays and sick time; Commuter &amp; Parking Accounts; Lunches in the Office; Internet and Phone Stipend; One time WFH Office Set-Up Stipend; 401(k) retirement plan; Financial Planning; Learning &amp; Development Budget; Sabbatical Program; and Invest in Your People Fund *Note on Pay Transparency: Lattice provides an estimate of the compensation for roles that may be hired as required by state regulations. Compensation may vary based on (a) location, as Lattice factors in specific location when benchmarking compensation for most roles; (b) individual candidate skills and qualifications; and (c) individual candidate experience. Additionally, Lattice leverages current market data to determine compensation, so posted compensation figures are subject to change as new market data becomes available. The salary, other compensation, and benefits information is accurate as of the date of this posting. Lattice reserves the right to modify this information at any time, subject to applicable law. <h2>About Lattice</h2> Lattice is on a mission to build cultures where employees and their companies thrive. In an age where employees have more choices than ever before, businesses that put employees first are winning 🏅– and Lattice is building the tools to empower those people-centric companies. Lattice is a people success platform that offers performance reviews, employee engagement surveys, real-time feedback, weekly check-ins, goal setting, and career planning in a way that allows companies to focus on employee development, growth, and engagement – yielding stronger employee retention, performance, and impact to the bottom line 📈. Since launching in 2016, we have grown to over 5,000+ customers globally, including brands like Loom, Robinhood, and Gusto. Lattice is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Lattice is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation. By clicking the "Submit Application" button below, you consent to Lattice processing your personal information for the purpose of assessing your candidacy for this position in accordance with<a href="https://lattice.com/privacy/job-applicant-privacy-policy" target="_blank">Lattice's Job Applicant Privacy Policy</a>.

Lattice

Data Engineer

Liberty Mutual Strategic Ventures

Director, Data Science

CBRE

Business Intelligence Director

Business Intelligence Manager

Work Flexibility: RemoteWhat You Will Do:We are looking for an experienced and highly skilled Manager, AI Deployment. A successful candidate will be responsible for managing a cross-functional team of computer vision and AI engineers focused on deploying AI models and computer vision algorithms into new and existing medical device products. The team plays the crucial role of bringing AI-enabled products from the bench to the bedside and used by millions of patients each year. This is a unique, high visibility opportunity for a technical leader who wants to manage a highly talented and energetic team of engineers to solve challenging computer vision and artificial intelligence problems to bring new innovations in AI to healthcare.Responsibilities<ul> <li>Execute a robust talent offense by attracting, developing, retaining, and engaging top talent while driving personal/professional growth of individuals, the team and delivering high quality results with passion, energy and drive</li> <li>Lead and mentor others in driving positive outcomes to technical, business, and personnel problems based through the application of problem-solving and process improvement methodologies</li> <li>Lead, mentor, formulate and work with the team to design, implement, evaluate, and optimize CV/DL/AI deployments as an integral part of AI-powered medical technologies</li> <li>Interface with a diverse group of stakeholders including business, product, marketing, regulatory and security leaders and project teams</li> <li>Create concise design documents and lead the team in making informed tradeoffs between model performance, latency, resource usage (memory/cpu/storage/IO), system architecture decisions</li> <li>Lead code reviews for projects/systems as an independent reviewer applying design principles, coding standards and best practices</li> <li>Guide the team through design control processes for product development that adhere to FDA guidance</li> <li>Promote a privacy and security first approach to software development and promote best practices in data management, data architecture, and data governance across teams and portfolio projects</li> <li>Ensure a robust strategy for automated building and testing while maintaining compatibility with supported platforms for both cloud and edge deployments</li> </ul>What You Will Need:Required Qualifications:<ul> <li>Bachelor's Degree in Computer Science, Software Engineering, Machine Learning, Electrical Engineering, Mathematics, Statistics, Bioengineering or related field</li> <li>8+ years of work experience required · OR Master's Degree in the above fields and 6+ years of experience · OR PhD in above field(s) and 4+ years of experience</li> </ul><ul><li>4+ years of experience in computer vision and deep learning / machine learning development and deployment</li></ul>Preferred Qualifications:<ul> <li>2+ years of experience managing a team</li> <li>Experience optimizing inference pipelines on edge devices, e.g. those based on Nvidia GPU, etc.</li> <li>Experience working with libraries such as OpenCV, DLib, Tensorflow , TFlite, TensorRT, TorchScript, Boost C++ libraries for numerical computation, etc.</li> <li>Experience with deploying AI / ML models on Azure, GCP, and AWS clouds to achieve scalable deployment of AI / ML</li> <li>Familiarity with CV/ML frameworks such as PyTorch, OpenCV, PCL, TensorFlow, scikit-learn etc.</li> <li>Experience with medical devices and product development in a regulated industry, e.g., software developed under ISO 13485.</li> </ul><ul><li>$129k - $286k salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.</li></ul> Travel Percentage: 10%Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

Stryker

Manager, AI Deployment

What to ExpectWe’re looking for a dynamic and technically fluent AI Specialist to join Zoom’s growing AI Specialist team. In this role, you’ll champion our AI solutions—especially Custom AI Companion, Conversational Intelligence, and AI Studio—by turning powerful technology into customer impact. You’ll partner closely with field sales to run demos, co-create account-specific strategies, and help enterprise customers unlock the full potential of Zoom’s AI portfolio.This is a quota-based overlay role that blends technical product evangelism with sales enablement and go-to-market execution. You’ll help Zoom differentiate in a crowded market by being the connective tissue between our AI product innovation and customer value realization.About the TeamZoom’s AI Specialist team is built like a startup inside the company—fast-moving, collaborative, and laser-focused on customer outcomes. We partner with Product, Marketing, Sales, Solutions Engineers and Customer Success to bring clarity to what AI can do today (and where it’s going tomorrow).This role is for someone who’s not just AI-fluent, but AI-experienced—comfortable talking to CIOs, demoing live use cases, and guiding our internal teams on how to close with confidence.Responsibilities<ul> <li>Drive Adoption of Custom AI Companion: Partner with field teams to help prospects understand how Zoom’s agentic AI framework powers deeper productivity, especially in IT, CX, and enterprise workflows.</li> <li>Run High-Impact Demos: Deliver technical demos showcasing real-time integrations across third-party tools (e.g., Salesforce, Jira, ServiceNow) and Zoom-native AI features.</li> <li>Create Customer-Ready Content: Develop pitch decks, objection handling guides, and verticalized AI messaging with a strong focus on outcomes.</li> <li>Evangelize AI Strategy: Serve as a subject matter expert for Zoom’s AI capabilities, including our RAG-based search and AI Studio workflows, across internal enablement and customer briefings.</li> <li>Feedback Loop to Product: Meet regularly with the AI Product team to share feedback from the field and shape future feature sets and roadmap priorities.</li> <li>Workshop + Field Engagements: Host workshops and presentations with enterprise IT, CX, and operations leaders to activate interest in Zoom’s AI capabilities.</li> <li>Quota-Tied Influence: Contribute to qualified pipeline and bookings in partnership with AEs through strategic plays and consultative support.</li> </ul>What We’re Looking For<ul> <li>2+ years in GenAI / LLM-based solutions, ideally with experience deploying or selling AI in an enterprise setting.</li> <li>Background in UCaaS, CCaaS, or CX technologies—you’ve worked in or around IT transformation, contact centers, or collaboration stacks.</li> <li>Startup-level adaptability—you like rolling up your sleeves, learning fast, and iterating as we scale.</li> <li>Strong communication and storytelling skills—especially when translating technical features into customer wins.</li> <li>Experience with tools like Salesforce, ZoomInfo, Glean, or enterprise knowledge platforms is a plus.</li> <li>Comfort with APIs, RAG, SLMs/LLMs, and how AI gets wired into actual workflows.</li> </ul>Salary Range or On Target Earnings:Minimum:$128 600,00Maximum:$257 300,00In 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:05/12/25Ways 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. Find room to grow with opportunities to stretch your skills and advance your career in a collaborative, growth-focused environment. Our Commitment​At Zoom, we believe great work happens when people feel supported and empowered. We’re committed to fair hiring practices that ensure every candidate is evaluated based on skills, experience, and potential. If you require an accommodation during the hiring process, let us know—we’re here to support you at every step. 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

Zoom

AI Specialist

Boddle Learning is on the lookout for a detail-oriented Data Analyst to collect, process, and analyze data across various teams to help drive business decisions. The ideal candidate will have strong analytical skills, experience with data visualization tools, and the ability to turn complex data into actionable insights. Responsibilities: <ul> <li>Collect, clean, and interpret data from various sources.</li> <li>Develop reports and dashboards to visualize key business metrics.</li> <li>Identify trends, patterns, and insights to support business decision-making.</li> <li>Work closely with cross-functional teams (marketing, product, finance, etc.) to understand data needs and provide insights.</li> <li>Use statistical techniques to analyze data and improve business processes.</li> <li>Ensure data accuracy and integrity by implementing data quality checks.</li> <li>Create and maintain documentation of data processes and insights.</li> <li>Stay updated with industry trends and best practices in data analysis.</li> <li>Systematize measurement of data across organization to drive user acquisition and retention growth</li> </ul> Required Qualifications: <ul> <li>Bachelor’s degree in Computer Science, Software Engineering, Statistics, Mathematics, Economics, or a related field</li> <li>Proficiency in SQL, Excel, and Tableau</li> <li>Strong problem-solving skills and attention to detail</li> <li>Excellent communication and data storytelling abilities</li> <li>Ability to work independently and collaboratively in a fast-paced environment</li> </ul> Preferred Qualifications: <ul> <li>Experience with statistical programming languages (Python, R)</li> <li>2+ years of experience in data analysis, business intelligence, or a related role.</li> <li>Familiarity with machine learning concepts and predictive analytics● Knowledge of cloud-based data platforms (e.g., AWS, Google BigQuery, Snowflake).</li> </ul> Why Boddle? At Boddle Learning, we are passionate about creating engaging and educational gaming experiences. As a Data Analyst, you will be at the forefront of helping our teams make data informed decisions that drive company growth and impact millions of kids. Join us in our mission to make learning fun and impactful! Application Process: To apply, please submit your resume to <a href="#">edna@boddlelearning.com</a>.

Boddle

Data Analyst

<h2>When you join Verizon</h2>You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere &amp; always. Want in? Join the V Team Life.<h2>What you’ll be doing...</h2>Must be a current participant of the Department of Defense Skillbridge Program or of the Hiring our Heroes Corporate Fellowship Program Cohort 2-2025.As part of the Invoice Validation team, this role must be able to manage operational support priorities across multiple projects and tools simultaneously. Meeting organizational goals depending on this person’s ability to analyze problems, design solutions, and implement improvements for Finance based challenges and allow Verizon to deliver on its commitments. <ul> <li>Supporting the Technical Manager and Director with invoice load and database analysis for Invoice Validation operations and projects.</li> <li>Solving complex Digital Finance challenges through creative use of Digital Disruptors such as SQL, Qlik, Looker, Talend, Java, Python, Knime, and Node.js.</li> <li>Supporting development and enhancement of our departmental Node.js platform</li> <li>Working with Telecom specific Invoice Validation processes: invoice load, EDI mapping, CABS/SECABS format updates.</li> <li>Coordinating with vendors for receipt, management and testing associated with invoice receipt. Act as liaison with vendors to solve technical communication issues, missing invoices, invoice format issues, etc.</li> <li>Ensuring Invoice Validation systems daily back office operations of invoice receipt, bill file transmission, invoice load, and payment record generation complete timely and accurately. Billing file formats: CABS, SECABS, EDI 8.11. Bill file transmission methods: NDM, SFTP</li> <li>Supporting yearly CABS and SECABS industry upgrades mandated by the Order Billing Forum (OBF)</li> <li>Providing technical leadership and accountability for SQL procedures ensuring payment processing jobs complete timely and accurately. Validate daily payment transmission/feedback to ERP payment systems (SAP). Drive exception resolution with business and VZ IT.</li> <li>Driving resolution of exceptions in back office operations in the business and with VZ IT. Keep management informed of risks/issues as well as make recommendations for improvements and automations.</li> <li>Providing technical leadership to ensure full life cycle development phases are followed as necessary to create and modify EDI Maps that enable data loading into Invoice Validation systems. This includes complex coding of mapping rules, application of configuration management policies, providing support for all phases of testing and assisting in management and migration of changes to Production and associated impacts.</li> <li>Providing technical leadership and guidance while also conducting systems analysis/design and development to create complex script sets aimed at solving data issues and addressing business questions. This may equate to migrating data from one data base to another, correcting data problems and/or pulling together data based on complex rules adjoining various data points</li> <li>Leveraging the team to provide test support for releases that include impacts for Verify Load Processing.</li> <li>Providing development support for reporting and automation of key functions supporting daily operations. This includes leveraging numerous technical skills including, PLSQL, Visual Basic, Access, Unix and SFTP Scripting.</li> <li>Overseeing daily processing to ensure audit activity compliance while also providing yearly support for maintenance of controls and SOX testing of Invoice Validation systems. Responsible for the development of broad programs or projects in support of organizational strategies; manages implementation of policies and procedures and develops related operational controls for $500M monthly access spend.</li> </ul><h2>What we’re looking for...</h2> You’ll need to have:<ul> <li>Must be a current participant of the Department of Defense Skillbridge Program or of the Hiring our Heroes Corporate Fellowship Program Cohort 2-2025.</li> <li>Four or more years of relevant experience required, demonstrated through work experience and/or military experience.</li> <li>Oracle/ SQL/ JSON experience.</li> </ul>Even better if you have one or more of the following:<ul> <li>Bachelor's degree in a finance, business or technical discipline.</li> <li>Cross Functional team experience.</li> <li>Strong knowledge of POS, Customer Service, and Billing systems.</li> <li>Experience with order to bill functions such as: order processing, provisioning, network architecture or billing systems.</li> <li>Experience with revenue assurance functions.</li> <li>Experience in Agile Methodology, JIRA and Clarity.</li> <li>Strong organizational skills or a background in project management.</li> <li>Organized, detail oriented individual that can work independently and drive project success.</li> <li>Creative problem solving and innovation to drive digital solution analytical, quantitative, and proactive thinking skills.</li> <li>Strong written and verbal communications skills tailored to the needs of the audience.</li> <li>Strong background in data engineering, auditing, and/or process controls.</li> </ul>If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above.<h2>Where you’ll be working</h2>In this hybrid role, you'll have a defined work location that includes work from home and a minimum eight assigned office days per month that will be set by your manager.<h2>Scheduled Weekly Hours</h2>40<h2>Equal Employment Opportunity </h2>We’re proud to be an equal opportunity employer - and celebrate our employees’ differences, including race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, and Veteran status. At Verizon, we know that diversity makes us stronger. We are committed to a collaborative, inclusive environment that encourages authenticity and fosters a sense of belonging. We strive for everyone to feel valued, connected, and empowered to reach their potential and contribute their best. Check out <a href="https://mycareer.verizon.com/life-at-verizon/work-culture/" target="_blank">our diversity and inclusion</a> page to learn more.

Verizon

Military Fellowship - Data Intelligence - Data Engineer

<h2>DESCRIPTION</h2> The Customer Engagement Technologies (CET) organization powers Customer Service (CS) by developing elegant Customer and Customer Service Associate (CSA) facing products globally. These products offer effortless self-service and automated solutions to our customers. If customers prefer to interact with a human, we enable CSAs to effectively and elegantly solve customers’ issues using our associate-facing products powered through human-centered design. One of these solutions is a new translation system deploying neural machine translation technology (through AWS Translate models) that aims to support high-quality, real-time translations for up to 39 languages. By applying automated translations to text-based customer service channels (e-mail, chat, Message Us, and CS Chatbot), the product’s vision is to remove language as a barrier and enable flexibility in the CS labor force. Ultimately, Amazon will be capable of supporting customers anywhere around the world, irrespective of the language the CSA is speaking. Our team is looking for a talented Machine Learning Data Associate (MLDA)- Specialist Portuguese to drive Portuguese-to-English and English-to-Portuguese machine translation improvements in partnership with the Machine Learning team. Specifically, you will audit cross-language interactions on text-based channels, review and assess the quality of the machine translations in each direction, and inform on the highest priority machine translation improvement opportunities that will enhance the customer experience. You will work with Program and Product Managers to determine opportunities for optimizing the quality auditing and machine translations improvement processes, augmenting the customer experience through product testing, and executing the machine learning roadmap for the product. You will be part of a Global Product Management team whose innovations and strategies will influence what we build and how we surface information to solve customers’ issues globally. A successful candidate is a native Portuguese speaker who also speaks English fluently, is extremely detail-oriented, an effective communicator, has demonstrated the ability to earn the trust of stakeholders across a cross-functional team of individuals, is data-driven, and has a strong eye for opportunities. You should be customer-obsessed and not afraid to analyze thousands of interactions. You are willing to experiment, fail fast, learn, and iterate to improve. Furthermore, you understand and account for the implications of your work on front line operations. Key job responsibilities - Native-level translation and localization skills in Portuguese - Proficiency in testing and content reading in Portuguese, with the ability to document outcomes in English for stakeholders - Utilization of Portuguese skills to support internal and external customers and related products - Competence in navigating various internal tools to understand the customer journey - Strong attention to detail and commitment to quality - Adaptability to work in a dynamic environment and willingness to change priorities on short notice - Must be fluent in Portuguese and English A day in the life Key daily activities include but are not limited to: - Localization/Translation - Testing various workstreams - Contact Reading in native language while documenting findings in English - Stakeholder management Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team Omni MLDA is a division of Customer Engagement Technologies (CET), partnering with key stakeholders to: - Automate customer service processes - Enhance the end-to-end customer experience <h2>BASIC QUALIFICATIONS</h2> - Fluency in Portuguese and English (verbal and written communication) - 1+ years business experience in localization and translation - Strong attention to details - Exceptional communicational skills - Customer service experience - Experience working in complex and frequently-changing environments - Ability to interpret customer need and being able to frame that as clear requirements <h2>PREFERRED QUALIFICATIONS</h2> - Project planning experience, including project scoping, deadline-setting, backlog maintenance, and reporting - Bachelor's Degree - Practical knowledge of data processing needs and trade-offs - Experience working with machine learning, Artificial intelligence, natural language understanding data Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations" target="_blank">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $32,700/year in our lowest geographic market up to $70,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit <a href="https://www.aboutamazon.com/workplace/employee-benefits" target="_blank">https://www.aboutamazon.com/workplace/employee-benefits</a>. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Amazon

Bilingual Machine Learning Data Associate - Portuguese (Remote), Customer Engagement Technology

<h2 id="jobDescriptionHeading"> Job Description </h2> Overview Join our team as a full-time Data Analytics Manager working with our Population Health team in Tulsa, OK. Why Join Us? Thrive in a People-First Environment and Make Healthcare Better <ul> <li> Thrive: We empower our team with career growth opportunities, tuition assistance, and resources that support your wellness, education, and financial well-being. </li> <li> People-First: We prioritize your well-being with paid time off, comprehensive health benefits, and a supportive, inclusive culture where you are valued and cared for. </li> <li> Make Healthcare Better: We use advanced technology to support our team and enhance patient care. </li> </ul> Get to Know Your Team: <ul><li>Utica Park Clinic, founded in 1982, is a multi-specialty medical group with more than 300 employed physicians and advanced practice providers representing over 25 specialties across 80 plus clinics in Oklahoma.</li></ul> Responsibilities The Manager of the Population Health Data Analytics section is responsible for the identification, preparation, and analysis of clinical and financial data to support the Utica Park Clinic Population Health in quality metric reporting to CMS and other payer programs, contractual and Federal and State regulation requirements. In addition, this person will advise and collaborate with the clinical staff and administration to provide analytic, data management and methodological support for the development of performance indicators, including a panel of process and outcome measures. Prepare graphic reports of appropriate clinical data to support the Value-Based Care reporting requirements. Assist in the development of data flow with internal and external data systems to include development and validation of mapping process, interfaces and external database use. Qualifications Job Requirements: <ul> <li>Bachelors Degree</li> <li>Three (3) years of experience as a database analyst for healthcare related organization</li> </ul> Preferred Job Requirements: <ul><li>Prefer experience supporting Practice Management Systems, EMR systems in a provider practice or a healthcare system</li></ul>

78 Data Science Jobs