Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

About Re:Build Manufacturing Re:Build Manufacturing is a growing family of industrial and engineering businesses combining enabling technologies, operational superiority, and strategic M&A to build America's next generation industrial company. At Re:Build we deploy deep expertise in engineering, operations management, and technology to supercharge the performance of our member companies. We leverage deep professional expertise and a candid, principled operating culture to drive differentiated outcomes. Ours is a fast-paced environment where individuals can stretch and be challenged to pursue their fullest potential. Re:Build was founded to pioneer a profitable model for the revitalization of US manufacturing. We've assembled a powerful set of complimentary capabilities and lines of business that enable us to pursue a wide range of end markets. Our acquired businesses are grounded in build-to-print and by-the-hour engineering and design services, and we're leveraging their combined expertise to migrate to increasingly sophisticated program development and production, as well as the generation of our own products. Our unique set of capabilities lend themselves to highly complex systems and products, and we offer customers a range of services including product and systems design, automation, fabrication, assembly, and large volume contract manufacturing. Our customers span a wide array of industries including aerospace, defense, mobility, healthcare, pharma, biotech, clean tech, chemicals, energy, lifestyle, food production, and industrial equipment. Who we are looking for The Data Engineer will focus on utilizing modern data technologies to operationalize and expand the enterprise Data Lake. This role centers on implementing efficient ingestion strategies, integrating diverse data sources, and ensuring data is structured for accessibility and analysis. The engineer will work across hybrid environments-on-prem and cloud-to automate data movement, validate data quality, and enable analytical teams to derive insights from trusted, well-organized datasets. This position requires hands-on technical depth in data ingestion and transformation, along with the analytical understanding needed to align data availability with business and reporting needs. PLEASE NOTE THE REQUIREMENTS BELOW Location: We are seeking candidates who currently reside in the Seattle, WA or Los Angeles, CA metropolitan areas. Travel: This role requires quarterly travel to our downtown Los Angeles office. Re:Build's Compensation Philosophy Competitive Base Pay All Re:Build Employees are eligible for performance-based bonus All Re:Build Employees receive Re:Build incentive stock awards, annual Competitive, Comprehensive Benefits Plan. Opportunity Exciting opportunity to work in a multi-site high-tech manufacturing conglomerate. Impactful role, and one in which you will enjoy considerable autonomy and variety. Investor-backed business to support growth. Financial rewards. Enormous learning experience and the opportunity to acquire additional responsibilities over time. What you get to do Data Design & Integration Co-design data interfaces and pipelines in close collaboration with software engineers and technical leads, ensuring alignment with application domain models and product roadmaps. Build and operate batch, streaming, and change data capture (CDC) pipelines from diverse sources (ERP, CRM, Accounting, knowledge repositories, and other enterprise systems) into the data lake. Data Modeling & Enablement Model curated data within the lake into data warehouse structures (e.g., star schemas, wide tables, semantic layers) optimized for business intelligence (BI), ad-hoc analytics, and key performance indicator (KPI) reporting. Publish certified datasets and policy-aware retrieval assets (tables, document embeddings, vector indexes) to enable analytics, AI, and retrieval-augmented generation (RAG) use cases. Data Governance & Quality Establish robust data observability and quality checks to ensure reliability and consistency. Apply governance, security, and compliance controls across the data lake and warehouse - including role-based access, encryption, auditing, and data retention - in alignment with applicable regulations. Operations & Continuous Improvement Operate the platform reliably by orchestrating jobs, monitoring pipelines, and continuously tuning cost and performance. Work in accordance with The Re:Build Way, demonstrating collaboration, continuous improvement, and technical excellence in every aspect of data engineering. What you bring to the Team 5 - 8+ years of proven experience building production-grade data systems with a strong understanding of cloud-based data lake architectures and data warehouses. Demonstrated expertise in designing and operating data pipelines (batch, streaming, CDC), including schema evolution, backfills, and performance tuning. Hands-on proficiency with Python and SQL, including experience with distributed processing frameworks (e.g., Apache Spark) and CI/CD for data workflows. Proven ability to design and implement ETL/ELT workflows and data modeling techniques (e.g., star schemas, wide tables, semantic models). Proficiency with cloud data platforms and services such as AWS, Databricks, and Snowflake, with a focus on scalability and reliability. Familiarity with open table formats (e.g., Iceberg, Delta, Hudi) and business intelligence data modeling. Understanding of data governance, lineage, and data quality frameworks to ensure reliability, accuracy, and compliance. Experience or strong interest in enabling AI/ML use cases (e.g., RAG/search datasets, embeddings, vector indexes). Bachelor's degree (BA/BS) in Computer Science, Data Science, Mathematics, Analytics, or a related quantitative field (or equivalent experience). Fluency in written and spoken English. Personal Attributes Brings enthusiasm, curiosity, and a consistently positive attitude. Leads by example - offering guidance, mentorship, and accountability on key technical decisions. Skilled at analyzing complex technical challenges and delivering innovative, efficient solutions. Flexible and adaptable to shifting priorities, requirements, and emerging technologies. Communicates clearly and effectively, both in writing and verbally. Exceptionally organized and thrives in a fast-paced, dynamic environment. Strong analytical and problem-solving abilities with sharp attention to detail. Collaborative team player who works effectively across departments and levels of the organization. Must successfully complete a background check and provide reliable professional references. Compensation: Base salary range $135 - $200K, depending upon candidate qualifications. Additionally, you will have an annual cash bonus and long term incentive. The BIG payoff We are a company who is going to make a difference in the industries and the communities in which we choose to operate. Every employee of Re:Build will share ownership in the company and will share in the financial rewards of the success we achieve together, at all levels of the company! We want to work with people that reflect the communities in which we operate Re:Build Manufacturing is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, parental status, cultural background, organizational level, work styles, tenure and life experiences. Or for any other reason. Re:Build is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at accommodations.ta@ReBuildmanufacturing.com or you may call us at 617.909.6275.

Work Flexibility: Remote Join Stryker's global transformation journey! As a Senior Master Data Deployment Analyst, you'll play a critical role in ensuring the accuracy and integrity of material and finance master data during our SAP implementation. This is an opportunity to influence global data standards, drive process excellence, and enable seamless go-live execution across divisions and geographies. What You Will Do Coordinate with business stakeholders to document and execute go-live activities, including ramp-up and ramp-down tasks; building strong relationships Ensure completeness and accuracy of material master data through rigorous data quality checks and validation Lead data cleansing, conversion, and migration activities in collaboration with business SMEs Perform manual data loads and updates as required to support project timelines Support testing activities (Integration, UAT, Regression, DITL) by preparing scenarios and data for successful outcomes Analyze and resolve data defects identified during data loads or testing, ensuring timely remediation Develop and maintain work instructions and Power BI dashboards to monitor data quality and load progress Deliver training and onboarding for local data readiness resources, promoting global master data standards What You Will Need Required Qualifications Bachelor's degree in Information Sciences, IT, Finance, Engineering, or related field Minimum of 2 years experience working with material master data Functional experience with ERP processes (ex: OTC, PTP, FTS, RTR) and their master data dependencies Prior experience with ERP or large-scale systems Proficiency in Microsoft Office and data analysis tools, particularly Excel Preferred Qualifications Minimum 3 years of experience in SAP material master data; finance master data experience Experience with SAP MDG and S/4HANA applications Data experience related to the medical device or pharmaceutical industry Knowledge of master data governance principles and best practices Familiarity with Power BI for reporting and dashboard creation $69,100 - $139,600 salary plus bonus eligible + benefits. Individual pay is based on skills, experience, and other relevant factors. Posted: November 26, 2025 Travel Percentage: 20% 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.

Benefits and Culture We offer a competitive compensation and benefits package designed to help employees live a healthier life, build rewarding careers and save for the future. Reser's offers choices whenever possible, because we recognize the diverse and ever-changing needs of our employees. Full-time employee benefits include medical, dental, vision, AD&D, life, 401(k) with discretionary match, wellness programs, paid time off, company paid holidays and a variety of voluntary benefit options. We strive to be your Employer of Choice. As one of our five cornerstones, this means that we go all-out to create an environment that shows we are committed to investing in employee growth and creating a culture of belonging where employees want to build a lasting career. Visit our website to learn more about our competitive benefit programs - https://www.resers.com/careers/#benefits Principle Duties and Responsibilities Monitor Helpdesk requests (Samange) for MDM in our ERP system Reviews and approves changes/additions to key strategic data elements to ensure application harmonization and business effectiveness This position will require collaboration with key members of IT, Supply Chain, Operations, Sales, Marketing, Finance, Quality, and other teams as needed Manages daily publication of all Global Data Synchronization Network (GDSN) data. Monitors Data Publication mailbox for publication requests and tracks requests for completion. Publishes product data to customers. Executing technical development and configuration of various Master Data Management elements to ensure accurate data creation, transformation, translation and retention Manage data implementation and configuration of critical external and internal business information Coordinates business processes and requirements for onboarding new GDSN customers. Assists IS team in researching publication issues due to XML or ERP systems Two (2) years of practical work experience in a Data Analytics or Data Support role. Two (2) years of progressively responsible technical research experience engaged in the collection, compilation, analysis, and interpretation of data. Detail Oriented Experience in processing, managing, and retrieval of information. Proficient in MS Office applications Ability to work independently without requiring oversight and follow-up Must be self-motivated, organized and detail oriented Excellent interpersonal skills such as verbal and written skills Resourceful, looks for solution rather than allowing obstacles to impede progress Creative and innovative Able to take directions and give directions in a clear manner Willing to learn new software applications and methods Experience with technical writing; experience designing, contributing to, or managing a documentation platform or knowledge base Experience training and supporting users or experience creating training materials; experience leading those efforts is an additional plus Not afraid to ask questions and seeking assistance when needed Strong analytical and problem-solving skills Strong organizational and time management skills Job Specifications A Bachelor's Degree in a Software, Computer Science, or IT related field. Additional qualifying experience may be substituted for the required education Experience with Product Information Management Systems (PIM) such as Data Sync Direct Exposure to 1World Sync Knowledge of GS1 standards Knowledge of GDSN Understand XML code Coding background Knowledge of data analysis software Working Conditions Office environment. Heavy phone usage, continuous computer usage. This position is eligible for a bonus based on company goals/performance. Recipe for Success Reser's is the leading provider of fresh refrigerated deli salads, side dishes, and prepared foods for the supermarket, club store, and food service industries. Family owned and operated, Reser's has been a proud sponsor of good times at racetracks, picnics, BBQs, music festivals, and affordable family meals since 1950. Reser's family of brands include Reser's American Classics, Main St Bistro, Stonemill Kitchens, and more. With more than 4,500 employees, Reser's operates 14 facilities in the US, Mexico, and Canada and actively supports the communities it serves. #INDCorporate

Why PlayStation? PlayStation isn't just the Best Place to Play - it's also the Best Place to Work. Today, we're recognized as a global leader in entertainment producing The PlayStation family of products and services including PlayStation5, PlayStation4, PlayStationVR, PlayStationPlus, acclaimed PlayStation software titles from PlayStation Studios, and more. PlayStation also strives to create an inclusive environment that empowers employees and embraces diversity. We welcome and encourage everyone who has a passion and curiosity for innovation, technology, and play to explore our open positions and join our growing global team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Senior Data Scientist, Data Journalism San Mateo, CA (hybrid)* This position will also require onsite work at least one day/week at our San Mateo location. As a Senior Data Scientist focused on Data Journalism in the Product Data Science team, you will be working at the forefront of data science to uncover and share important data stories by exploring user behavior across the PlayStation ecosystem and discovering and communicating new information about our users and our ecosystem that will advance our company's ability to use data. You will work with team members and internal customers to harness your knowledge of data communication and data analysis techniques in order to unravel complex phenomenon and inform decision making throughout the company that will help create a personalized, joyous experience for PlayStation users around the world. Responsibilities: Identify and bring to life data stories that are present but unexplored in the team's output in a way that is both accurate and approachable. Use impactful visuals and concise narratives to create compelling stories for technical and non-technical audiences in product management, partner services, commerce, strategy, data, and engineering departments. Explore PlayStation data to ensure that you are using the best source of data for your analyses and maintaining awareness of any issues of interpretation that may arise. Perform ad-hoc analyses on petabytes of complex data. Learn new tools as appropriate and determine how best to convey your stories in the tools and formats that are available to you. Develop a thorough understanding of the business, our products, partners, and users, how information flows through the company, and how the PDS team contributes to and supplements that flow. Provide critical information to diverse audiences to inform decision making, increase understanding of our ecosystem, and inspire action and innovation. Required Skills and Qualifications: Strong understanding of data manipulation techniques, including intermediate or advanced understanding of SQL and Python or other similar languages. Excellent data storytelling skills, with the ability to translate complex data into clear, engaging, insightful narratives. Strong analytical and problem solving skills. Proficiency with data visualization tools. Experience working with large, complex datasets. Keen sense of what data stories should be told and how to tell them. Excellent communication and interpersonal skills and the desire and ability to work collaboratively with people from different areas of expertise and build and maintain relationships with a variety of partners and internal customers. Strong business sense and interest in what we do and how we do it. Ability to adapt your thinking when faced with new evidence. Preferred Qualifications: Knowledge of the gaming industry or related domain areas (e.g., media or entertainment). Familiarity with Streamlit or similar frameworks. Experience working closely with data scientists and/or data engineers. Experience working in a global environment. Ability to influence without authority. PlayStation offers a global hybrid office/remote working model - Flex Modes - which aims to combine the flexibility of remote working with the magic of in-person collaboration. The model is built upon the principle of working together in-person as work requires, with the freedom to work remotely otherwise. We will consider fully remote candidates who are able to come in for 'Moments that Matter'. #LI-KD1 Please refer to our Candidate Privacy Notice for more information about how we process your personal information, and your data protection rights. At SIE, we consider several factors when setting each role's base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE's top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $182,500-$273,700 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. PlayStation is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid’s network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You’ve have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at accommodations@plaid.com Please review our Candidate Privacy Notice here .

General Information Job Code: SHR-DM-05T Location: On Site (Washington, D.C.) Employee Type: Exempt, Full-Time Regular Telework: Ad hoc as determined by client Salary Range: $129,985.76 - $149,483.62 per year (how we pay and promote ) Citizenship: U.S. Citizen as required by client Position Overview Are you passionate about turning complex data into actionable insights? As a Health Data Scientist focused on AI & Clinical Data supporting our client, you will play a pivotal role in shaping our success. This is a Science and Engineering and Technical Advisor (SETA) role in the Proactive Health Mission Office at the Advanced Research Projects Agency for Health (ARPA-H) responsible for providing technical leadership in data design, evaluation strategy, and clinical realism for a multi-stakeholder program advancing AI diagnostics for rare diseases. Successful candidates will operate at the intersection of health data, AI evaluation, and clinical practice, providing expert guidance to program leadership and external performers. You will ensure that datasets, benchmarks, and evaluation methods are scientifically rigorous, clinically grounded, and aligned with real-world use so that technical progress translates into meaningful clinical insight and patient impact. Primary Responsibilities While not an exhaustive list, the key duties for the position include: Lead and advise on the design, preparation, and validation of healthcare datasets used across the program, including EHR, genomic, and multimodal data. Define and assess evaluation strategies and benchmarks that are clinically realistic, methodologically sound, and resistant to shortcut learning or leakage. Review technical proposals, model submissions, and evaluation results from external teams, providing expert feedback on validity, risks, and interpretability. Assess data quality, representativeness, and bias, and advise on mitigation strategies appropriate to rare disease contexts. Evaluate alignment between technical performance metrics and clinical decision-making needs, working closely with clinical SMEs. Identify gaps between benchmark performance and real-world applicability, and advise on corrective actions. Serve as a technical bridge between AI developers, clinical experts, and program leadership. Support the program manager with technical assessments, recommendations, and decision support related to data and evaluation. Track progress of external partners and identify data- or evaluation-related risks that could impact program outcomes. Produce high-quality written reports, analyses, and presentations that communicate technical findings to diverse audiences. Requirements Minimum Education and Experience: PhD in Biomedical Informatics, Data Science, Biostatistics, or a related field. 7+ years of relevant professional experience with 5+ years of experience working with healthcare or biomedical data in applied or evaluative roles. Basic Requirements: Hands-on experience with EHR, genomic, or multimodal healthcare datasets. Deep understanding of AI/ML evaluation methods, including benchmarking, robustness, and sources of bias or leakage. Demonstrated ability to critically review and assess technical work across health data and AI domains. Strong understanding of data governance, privacy, and compliance in healthcare contexts. Excellent written and verbal communication skills, with experience producing high-quality technical materials. Intermediate experience with Microsoft Office productivity software and collaboration tools such as Microsoft Teams and SharePoint. Skills That Set You Apart: Domain expertise in rare disease, diagnostics, or clinical decision support. Prior experience in technical advisory, evaluation, or SETA-style roles. Experience collaborating closely with clinicians and healthcare stakeholders. Experience working in fast-paced, multi-stakeholder, or early-stage environments. About Ripple Effect Ripple Effect is an award-winning women-owned, 200-person company of communicators, scientists, researchers, and analysts. Established in 2003, and named as one of the “Best and Brightest Companies to Work For” since 2020, Ripple Effect has earned acclaim for delivering unparalleled consulting services and top-tier talent across federal, private, and non-profit sectors. Benefits At Ripple Effect, we reward our employees for their contributions to our mission. Our comprehensive total rewards package includes competitive pay, exceptional benefits , and a range of programs that support your work/life balance and personalized preferences. Learn more about our benefits and culture here.

About Atria: Atria is a membership-based preventive health care practice delivering cutting-edge primary and specialty care in New York, South Florida, Los Angeles (2026), and through 24/7 telemedicine globally. Our multi-specialty team of 60+ top in-house physicians provides proactive, preventive, and precision-based care for Atria members and their families. We aim to optimize lifespan and healthspan through meticulous screening, leading-edge therapeutics, and tailored interventions designed to prevent disease and detect it at the earliest possible stages. Each member's care is led by a dedicated Chief Medical Officer who collaborates with specialists in cardiology, neurology, pediatrics, women's health, endocrinology, integrative health, performance and movement, nutrition, and more. Through our nonprofit Atria Research Institute and Public Health Institute, we also work to accelerate the translation of medical breakthroughs and expand access to preventive care for as many people as possible. We're seeking a mid-level Data Analyst to join our Technology organization and support the concierge healthcare team. This role goes beyond traditional reporting—you'll be instrumental in building the data infrastructure that powers business decisions while becoming a trusted advisor on healthcare operations and strategy. You'll own our reporting ecosystem, transforming raw healthcare data into actionable insights that drive patient care and business outcomes. Your work will directly inform clinical operations, member experience initiatives, and strategic planning. Reporting & Analytics Design and maintain dashboards and reports that track key healthcare metrics including patient outcomes, utilization patterns, provider performance, and member satisfaction Partner with clinical and operations teams to understand their data needs and deliver self-service analytics solutions Conduct ad-hoc analyses to answer critical business questions and support strategic initiatives Analytics Engineering Build and maintain semantic layers that make our data accessible and reliable across the organization Create structured data environments that enable analytics agents and automated reporting Develop data models that balance technical rigor with business usability Establish data quality standards and monitoring processes Business Partnership Develop deep expertise in concierge healthcare operations, understanding both the clinical and business contexts Translate complex healthcare data into clear narratives that drive decision-making at all levels Collaborate with leadership to identify opportunities for improving patient care and operational efficiency Evolve from data provider to strategic partner who helps shape business direction Salary range: $110,000 - $140,000 Requirements SQL proficiency: You write clean, efficient queries and understand how to optimize for performance Visualization expertise: Experience building intuitive dashboards in Tableau, Looker, Omni, or similar platforms Analytical thinking: You naturally ask "why" and can structure ambiguous problems into clear analytical frameworks Communication skills: You can explain technical concepts to non-technical stakeholders and tell compelling stories with data Preferred Experience 3-5 years of experience in a data analyst or similar role Experience in healthcare, preferably in value-based care, concierge medicine, or similar models Familiarity with data modeling concepts and analytics engineering principles Experience working cross-functionally with clinical, operations, and executive teams What Sets You Apart You're curious about the business, not just the data—you want to understand the "so what" behind every analysis Work well with product to make analytics scalable and self-serviceable You're comfortable with ambiguity and can define your own scope when given open-ended questions You have a bias toward action and iterate quickly rather than pursuing perfect analyses Benefits At Atria, we are proud to offer every member of the Atria team: Excellent health and wellness benefits, 100% paid by Atria effective date of hire OneMedical membership for employees & dependents giving access to 24/7 virtual care Fertility & family planning Company-covered preventive health screenings through partner hospitals (Calcium score) Fitness Perks including Wellhub + 401k contributions and 4% match starting after 6 months Flexible Time Off Continuing medical education (CME) and CEU support for professional licensure Time to give back and make an impact in underserved communities

Real-World Data & Clinical Informatics Data Engineer, Senior The Opportunity: As a Data Engineer, you will support the development and maintenance of scalable data stores that supply big data and real-world data in forms needed for data analysis. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives, including developing robust Extract, Transform, and Load (ETL) processes to integrate data from various sources into our data ecosystem, and designing and maintaining data models, schemas, and database structures to support analytical and operational use cases. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Join us. The world can't wait. You Have: 5+ years of experience with the entire ETL pipeline, including data acquisition, data preparation, and database architecture with accompanying codebooks, data dictionaries, and metadata repositories 3+ years of experience with programming languages, such as Python, R, or SQL 2+ years of experience in AWS and big data ecosystems Experience building real-time data processing applications Experience with GitHub Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree in Computer Science or Bioinformatics Nice If You Have: Experience with AI or ML pipelines and processes Experience with Multi Cloud environments Experience with Metadata Management Experience in working with federal public health agencies Possession of excellent communication skills Master's degree preferred; Doctorate degree a plus PMP Certification Vetting: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

About Sprinter Health At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. By using the same technologies that power leading marketplace and last-mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve supported more than 2 million patients across 22 states, completed 130,000+ in-home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi-year runway. Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact. About the Role We’re hiring a Senior / Staff Data Scientist to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health. This is a 0→1 role where your work directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity. Office Location We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about work-life balance and understand that there will be times where flexibility is needed. What you will do Explore clinical, operational, and patient engagement data to surface actionable insights Analyze routing, capacity planning, and supply-demand dynamics across regions Identify drivers of preventive care engagement and patient follow-through Predict cancellations, risk, and future care needs using behavioral and clinical signals Design and evaluate A/B experiments across product, growth, and operations Support internal teams with dashboards, analytics, and ad hoc decisions Help shape the Data function’s standards, tooling, and processes as an early leader What you have done 5+ years in data science, advanced analytics, or applied data modeling Worked with large, messy datasets to answer ambiguous, high-stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high-quality SQL across warehouses like BigQuery, Snowflake, or Redshift Influenced product, ops, or strategy decisions through data insight and storytelling Presented findings to leadership and collaborated with cross-functional teams What gives you an edge Experience with Python, Pandas, Scikit-learn, or ELK (Elasticsearch + Kibana) Exposure to GCP data tools like BigQuery, DataFlow, or DataForm Familiarity with healthcare data (claims, HL7, CCDAs, HIEs) Experience with logistics, routing, or operational optimization problems Designed or analyzed growth experiments or user behavior funnels Communicated insights to C-level stakeholders or mentored junior talent Our Tech Stack Python SQL Superset, Looker, Tableau, Grafana BigQuery, Snowflake, Redshift Elasticsearch / Kibana FHIR, HL7, claims data (bonus) Pandas, Scikit-learn, DataForm, DataFlow What we offer Meaningful pre-IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16-week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long-term disability coverage Free daily lunch in-office Annual learning stipend Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes. Beware of recruitment fraud and scams that involve fictitious job descriptions followed by false job offers. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles here . All legitimate job postings will require an application to be made directly on our official Sprinter Health Careers website. Job-related communications will only be sent from email addresses ending in @sprinterhealth.com. Please ensure that you’re only replying to emails that end with @sprinterhealth.com.

Benefits: Company parties Competitive salary Dental insurance Free food & snacks Hi Hope doing good & Well Work location: Dallas, TX /Atlanta, GA End client: IBM/DTV Compltely on site position Job Description We are looking for an experienced Databricks Subject Matter Expert (SME) with expertise in Data Profiling and Data Modeling to join our growing team. In this role, you will be responsible for leveraging Databricks to drive end-to-end data solutions, ensuring data quality, and optimizing data pipelines for performance and scalability. You will also play a pivotal role in designing, implementing, and maintaining data models that align with business requirements and industry best practices. The ideal candidate should have deep experience with the Databricks ecosystem, including Spark, Delta Lake, and other cloud-based data technologies, combined with a strong understanding of data profiling and data modeling concepts. You will collaborate closely with data engineers, data scientists, and business analysts to ensure data integrity, accuracy, and optimal architecture. Skills and Qualifications: Technical Skills: Databricks (including Spark, Delta Lake, and other relevant components) · 8+ years of hands-on experience with Databricks or related technologies. Strong expertise in Data Profiling tools and techniques. Experience in Data Profiling and Data Quality management. · Experience in Data Modeling , including working with dimensional models for analytics. Advanced knowledge of SQL , PySpark , and other scripting languages used within Databricks. Experience with Data Modeling (e.g., relational, dimensional, star schema, snowflake schema). Hands-on experience with ETL/ELT processes , data integration, and data pipeline optimization. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and cloud data storage technologies. Proficiency in Python , Scala , or other programming languages commonly used in Databricks. Experience in Data Governance and Data Quality practices.. · Familiarity with Machine Learning workflows within Databricks is a plus. Thank you venkatesh@careits.com Compensation: $50.00 - $60.00 per hour Who We Are CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

We believe that the way people interact with their finances will drastically improve in the next few years. We're dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe. Founded in 2013, the company is headquartered in San Francisco with offices in New York, Washington D.C., London and Amsterdam. #LI-Hybrid The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasetsLeading key data engineering projects that drive collaboration across the company. Advocating for adopting industry tools and practices at the right timeOwning core SQL and python data pipelines that power our data lake and data warehouse. Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 4+ years of dedicated data engineering experience, solving complex data pipelines issues at scale. You've have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool, and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks. You have experience building and maintaining batch and realtime pipelines using technologies like Spark, Kafka. You appreciate the importance of schema design, and can evolve an analytics schema on top of unstructured data. You are excited to try out new technologies. You like to produce proof-of-concepts that balance technical advancement and user experience and adoption. You like to get deep in the weeds to manage, deploy, and improve low level data infrastructure. You are empathetic working with stakeholders. You listen to them, ask the right questions, and collaboratively come up with the best solutions for their needs while balancing infra and business needs. You are a champion for data privacy and integrity, and always act in the best interest of consumers. $180,000 - $270,000 a year The target base salary for this position ranges from $180,000/year to $270,000/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans. Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description. We are always looking for team members that will bring something unique to Plaid! Plaid is proud to be an equal opportunity employer and values diversity at our company. We do not discriminate based on race, color, national origin, ethnicity, religion or religious belief, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, military or veteran status, disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state, and local laws. Plaid is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance with your application or interviews due to a disability, please let us know at [email protected] Please review our Candidate Privacy Notice here.

We are looking for a Senior Data Engineer / Data Architect to lead automation-led modernization of legacy data and reporting platforms at scale. This role drives operational automation, repeatable architecture, and AI-assisted tooling, eliminating manual work and accelerating delivery across multiple environments. A core focus is leading the migration of data pipelines and integrations from Informatica to Databricks, while building scalable, repeatable patterns used across states and teams. This is a hands-on, senior role with ownership across architecture, design, and execution. Responsibilities Assess legacy data and reporting workloads to identify where automation replaces manual effort. Lead the migration of Informatica-based data workloads to Databricks, ensuring performance, reliability, and data integrity Design and execute an automation-first modernization strategy for data pipelines, reporting systems, and analytics platforms. Apply tool-assisted and AI-assisted techniques to accelerate modernization while maintaining compliance and control. Build repeatable frameworks and patterns for: Data ingestion, transformation, and orchestration; Reporting and analytics modernization; Data validation, reconciliation, and quality controls. Establish governance to ensure modernization efforts are consistent, auditable, and scalable. Partner with distributed data teams to deploy and scale modernization patterns across environments. Provide hands-on technical leadership while remaining engaged in execution. Required Experience 10+ years in data engineering and/or data architecture. Proven track record of modernizing large-scale, complex, legacy data and reporting environments. Hands-on experience migrating or modernizing Informatica-based data pipelines to modern platforms such as Databricks. Demonstrated use of automation frameworks, accelerators, or AI-assisted tools to compress delivery timelines. Hands-on experience with Azure, Cloudera, and Power BI. Strong experience designing and operating ETL/ELT pipelines and analytics layers. Deep understanding of data quality, lineage, reconciliation, and validation frameworks. Experience working in large-scale or regulated enterprise environments. Preferred Experience Experience in payer, healthcare, or other regulated domains. Experience designing solutions that support multi-environment scalability. Exposure to GenAI tooling for code generation and automation. Experience as a technical thought leader for new platform initiatives. McLaren Strategic Solutions is a leading-edge global technology consulting firm, addressing critical challenges across industries such as retail, financial services, and healthcare. Integrating a powerful ecosystem of platforms with capital-efficient execution, McLaren specializes in digital transformation to help businesses optimize operations, accelerate revenue, and achieve scalable outcomes. McLaren’s expertise spans the development of customer-centric applications, modernizing systems for cost-effectiveness and security, and leveraging cloud scalability for future-ready architectures. With a deep commitment to operational excellence, McLaren provides comprehensive managed services, including application maintenance, cybersecurity, platform solutions, and AI-optimized operations, ensuring seamless, secure, and efficient performance. From supply chain automation to compliance and analytics, McLaren drives measurable impact: improving workforce productivity, reducing inventory costs, and cutting technology ownership expenses. With its emphasis on automation and zero business downtime, McLaren facilitates seamless migrations from legacy systems to modern platforms, enabling organizations to harness the full potential of digital transformation. Backed by strategic partnerships and a proven delivery model, McLaren empowers clients to innovate, modernize, and achieve lasting success in today’s digital economy. McLaren is a certified minority owned business through the NMSDC and has a mission to place more people from non-traditional backgrounds into sustainable technology careers. Through partnerships with non-profit technology programs in underserved communities and Veteran organizations, candidates transition from tech training programs into real IT careers at McLaren. Our unique recruitment policy allows us to create exceptional teams, bringing a broad spectrum of experience to our company and creating anything but a traditional consulting firm. Visit McLaren Strategic Solutions to learn more! Doran Jones Inc. is proud to be part of the McLaren Strategic Ventures Group.

Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. In this role, the VP will support the U.S. Banks Data Quality Risk Program for driving compliance with the Firm's Data Quality Policy and procedures. The VP role is in the U.S. Banks First Line Business Risk team. This team is responsible for managing risks associated with Data Quality. This role requires regular interaction and partnership with other divisions across firm, technology, Bank Business partners, Bank Data Stakeholders, Compliance, Second Line Risk, and Internal Audit. Primary Responsibilities Include: Establish and execute consistent processes to effectively expand the Banks Data Quality Risk oversight (e.g. identification of prioritized data for the U.S. Banks). Lead data flow analysis with a solid technical understanding to assess existing data quality controls, oversee onboarding of data quality controls to DQ Control Monitoring platform, and lead fit-for-purpose attestations by partnering with Business and Technology partners. Identify business data ownership, manage cataloging of metadata into the Firmwide Data Catalog (Collibra), and control ownership among Bank Business and Technology partners. Lead the development of metrics and dashboards for periodic Senior Management updates and reporting in various forums including Banks Data Quality Risk Management Committee. Deliver updates and presentations to senior audiences in relevant committees and forums. Product owner of the DQ Control Monitoring platform, recommending enhancements, and managing implementations with the technology team. Manage Data Quality control monitoring and exception resolution process. Manage the identification and mitigation of data related issues related to processes, reporting, technical issues, or controls impacting data Consumers. Develop and update procedures and/or processes needed to ensure compliance to the Global Data Quality Policy. Team management responsibilities to oversee key Data Quality Risk processes, providing mentoring, supervisory oversight, and coordination. Qualifications: Minimum 6-8 years of experience in financial services. Bachelor's Degree required. Experience with data governance, data quality, data analysis, data lineage processes. Strong technical and analytical skills with a focus on fixing data issues at the source. Understanding of BCBS 239 and Global Financial Crimes risk management and control concepts. Ability to collaborate with cross-functional stakeholders. Ability to run meetings with multiple stakeholders and business areas. Strong written and verbal communication skills and ability to lead effective meetings. Strong organizational skills, attention to detail, and proven track record of project prioritization, execution, and risk management. Highly motivated, self-starter with a clear accountability & ownership mindset and ability to challenge assumptions. Sound judgment and ability to escalate project risks and issues. Advanced proficiency in Microsoft Excel, PowerPoint, Outlook, Word, Visio and other MS Office Tools. Experience with data governance and data quality tools (e.g. Collibra, Informatica). WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser. Expected base pay rates for the role will be between $110,000 and $190,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Work for the IMF. Work for the World. The Resource Management and Policy Coordination Division of the Institute for Capacity Development (ICDRM) is seeking to fill a contractual vacancy for the position Data Analyst/Sr. Data Analyst. The Institute for Capacity Development (ICD) supports IMF member countries to build the institutions and capacity to formulate and implement sound economic and financial policies. ICD is responsible for capacity development (CD) delivery, including training and technical assistance, in macroeconomic and financial policy and for development and implementation of the Fund's CD strategy. ICDRM oversees the financial and administrative management of the department, including the development of the CD medium-term budget (MTB), medium-term workplan (MTW), and financing strategy. The division also coordinates the departmental policies, processes, and systems related to CD delivery, including (i) results-based management and CD performance, and (ii) implementation of the Capacity Development Management and Administration Program (CDMAP) within ICD. Working closely with the management of ICDRM, the Data Analyst/Sr. Data Analyst will support data and information management and analysis, primarily related to the department's financial management and CD activities. Their main responsibilities will include: Developing and maintaining reports and dashboards to monitor and analyze financial and CD management. Compiling data and preparing presentations in response to internal and external data requests. Proposing and developing advanced visualization techniques for complex datasets related to financial and operational performance Recommending analytics enhancements for budget forecasting and tracking. Managing the divisional website Supporting optimization and automation of processes Qualifications Educational development, typically acquired through the completion of a university degree, or equivalent, in programming/systems, computer science, statistics, finance, mathematics, economics, or a related field of study, is required. The successful candidate should demonstrate: Excellent data management and analysis skills and experience with data visualization tools, in particular PowerBI. Operational experience of leveraging a data warehouse to (i) build dashboards and reports and (ii) answer ad hoc data requests. Proficiency in Microsoft Office Suite, including advanced Excel functions. Demonstrated ability to develop solutions based on SharePoint and HTML. Experience in web design and content management. In addition, this role requires excellent analytical and quantitative skills; experience in planning and project management; strong oral and written communication skills in English; ability to set priorities, work under pressure, and manage concurrent tasks within tight deadlines; and ability to be part of a task team. Only candidates who are currently residing in the Washington DC metro area will be considered. This is a one-year contractual appointment. Contractual appointments at the IMF are renewable for up to four years of cumulative contractual service, pending incumbent's performance, budget availability and continuous business needs. Department: ICDRM Institute for Capacity Development Resource Management and Policy Coordination Division Hiring For: A06, A07, A08 The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.

Internal title: Associate Director, Psychometric Operations & Data Science External Posting Role Title: Applied Data Scientist / Assessment Data Scientist College Board - Global Strategy and Talent, College Board LATAM Location: San Juan, Puerto Rico. This is a hybrid role and requires the candidate to be on-site at CB offices every Tuesday and Wednesday. Role Type: This is a full-time position. About the Team The Latin America Office at the College Board is dedicated to expanding educational opportunities and improving student outcomes across the region. Embedded within the Research and Development (R&D) division, the Research & Measurement (R&M) team is dedicated to ensuring that our assessments are scientifically sound, evidence-based, and aligned with our mission. We work at the intersection of psychometrics, data science, and applied research, guiding how our assessments are designed, scored, and continuously improved. Our team ensures that research and measurement practices are transparent, defensible, and grounded in robust methodological standards. R&M also collaborates with internal and external stakeholders to generate insights that advance the region's educational goals, promote equitable test use, and strengthen the link between assessment results and educational outcomes. Together with colleagues in Technology, Assessment Operations, and Market Development, we are building the data systems and analytic capabilities that will power the next generation of digital, research-informed assessments across Latin America. About the Opportunity The (Applied Data Scientist / Assessment Data Scientist), internally known as, Associate Director, Psychometric Operations & Data Science, plays a hands-on role in strengthening the accuracy, efficiency, and innovation of CB-LATAM's psychometric and operational data workflows. You will design and maintain automated data pipelines that enable scoring, scaling, and reporting processes to run smoothly and reproducibly. You will also perform item calibration, statistical analysis, and quality control to support scoring operations and ensure that the item bank remains current, valid, and reliable. By improving data workflows and implementing analytics-driven solutions, you will help modernize psychometric operations and embed quality controls throughout the data lifecycle. Beyond R&M, you will also serve as CB-LATAM's data governor-understanding what comes in and what goes out, where it's stored, how long it's stored, and what it's used for. You will act as an owner of the architecture of our data, ensuring its integrity, accessibility, and compliance with internal policies and professional standards. Working in close partnership with Psychometricians, R&D staff, and Technology teams, you will apply advanced statistical and programming skills to streamline complex workflows, automate recurring processes, and transform data into actionable insights. This role is ideal for a technically skilled and analytically curious professional who wants to contribute directly to evidence-based innovation in educational measurement, while ensuring that CB-LATAM's data systems are accurate, policy-compliant, and future-ready. In this role, you will: Psychometric Operations (40%) Support scoring operations through quality assurance routines, data validation, and review of scoring keys, parameters, and distributions. Maintain and update the item bank database, ensuring data accuracy, version control, and metadata integrity. Execute item calibrations and test-level analyses using classical test theory (CTT) and item response theory (IRT) models. Conduct statistical and psychometric analyses for pretests, operational forms, and field test data. Collaborate with Psychometricians to ensure operational equating and scaling are performed with precision and consistency. Data Operations, Automation & Governance (35%) Serve as CB-LATAM data governor: overseeing data flow, architecture, and lifecycle management across psychometric and operational systems. Ensure that all data systems comply with College Board governance policies, professional testing standards, and privacy requirements. Monitor data inflow/outflow and document data usage, ensuring transparency and ethical stewardship. Implement reproducible scripts and validation routines (in R or Python) to standardize workflows. Build, maintain, and automate data pipelines for scoring, equating, and reporting. Contribute to research documentation, technical reports, and internal publications summarizing results and innovations. Applied Data Science & Analytics (25%) Develop dashboards and visualizations that summarize psychometric and operational indicators. Identify opportunities to automate repetitive processes, reduce manual dependencies, and strengthen quality assurance. Apply AI and machine learning techniques to detect data anomalies and enhance workflow efficiency. Partner with Psychometricians, Technology, and R&D staff to deploy analytic solutions into production environments and improve system interoperability and reporting efficiency. About You: Master's degree in Statistics, Data Science, Psychometrics, or related field. 5-8 years of experience in data analytics, psychometric operations, or applied quantitative research. Proficiency in R, Python, SQL, and data visualization tools (Tableau, Power BI). Working knowledge of IRT and CTT models, scaling, and equating procedures. High attention to data quality, compliance, and ethical standards and the ability to dissect complex data problems, troubleshoot issues, and craft actionable solutions. Experience leveraging data insights to influence both operational and strategic decisions. Skilled in automation, analytical rigor, programming proficiency and reproducible workflow design. Ability to travel 1-2 times a year to College Board offices or on behalf of College Board business. Bilingual proficiency in Spanish and English. This position primarily involves sedentary work performed at a computer. The role requires the ability to sit or stand for extended periods, communicate effectively, and operate standard office equipment. All roles at College Board require: A passion for expanding educational and career opportunities and mission-driven work Curiosity and enthusiasm for emerging technologies, with a willingness to experiment with and adopt new AI-driven solutions and comfort with learning and applying new digital tools independently and proactively. Clear and concise communication skills, written and verbal A learner's mindset and a commitment to growth: welcoming diverse perspectives, giving and receiving timely, respectful feedback, and continuously improving through iterative learning and user input. A drive for impact and excellence: solving complex problems, making data-informed decisions, prioritizing what matters most, and continuously improving through learning, user input, and external benchmarking. A collaborative and empathetic approach: working across differences, fostering trust, and contributing to a culture of shared success Authorization to work in the United States About Our Process Application review will begin immediately and will continue until the position is filled. This role is expected to accept applications for a minimum of 5 business days. While the hiring process may vary, it generally includes: resume and application submission, recruiter phone/video screen, hiring manager interview, performance exercise such as live coding, a panel interview, a conversation with leadership and reference checks. What We Offer At College Board, we offer more than a paycheck- we provide a meaningful career, a supportive team, and a comprehensive package designed to help you thrive. We're a self-sustaining nonprofit that believes in fair and competitive compensation grounded in your qualifications, experience, impact, and the market. A Thoughtful Approach to Compensation The hiring range for this role is $45,000 -$61,000. Your exact salary will depend on your location, experience, and how your background compares to others in similar roles at the College Board. We aim to make our best offer upfront, rooted in fairness, transparency, and market data. We adjust salaries by location to ensure fairness, no matter where you live. You'll have open, transparent conversations about compensation, benefits, and what it's like to work at College Board throughout your hiring process. Check out our careers page for more. #LI-LATAM #LI-MD1

The main goal of the DE team in 2024-25 is to build robust golden data sets to power our business goals of creating more insights based products. Making data-driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. Data Engineers heavily leverage SQL and Python to build data workflows. We use tools like DBT, Airflow, Redshift, ElasticSearch, Atlanta, and Retool to orchestrate data pipelines and define workflows. We work with engineers, product managers, business intelligence, data analysts, and many other teams to build Plaid's data strategy and a data-first mindset. Our engineering culture is IC-driven -- we favor bottom-up ideation and empowerment of our incredibly talented team. We are looking for engineers who are motivated by creating impact for our consumers and customers, growing together as a team, shipping the MVP, and leaving things better than we found them. You will be in a high impact role that will directly enable business leaders to make faster and more informed business judgements based on the datasets you build. You will have the opportunity to carve out the ownership and scope of internal datasets and visualizations across Plaid which is a currently unowned area that we intend to take over and build SLAs on. You will have the opportunity to learn best practices and up-level your technical skills from our strong DE team and from the broader Data Platform team. You will collaborate with and have strong and cross functional partnerships with literally all teams at Plaid from Engineering to Product to Marketing/Finance etc. Responsibilities Understanding different aspects of the Plaid product and strategy to inform golden dataset choices, design and data usage principles. Have data quality and performance top of mind while designing datasets Advocating for adopting industry tools and practices at the right time Owning core SQL and Python data pipelines that power our data lake and data warehouse Well-documented data with defined dataset quality, uptime, and usefulness. Qualifications 2+ years of dedicated data engineering experience, solving complex data pipeline issues at scale. You have experience building data models and data pipelines on top of large datasets (in the order of 500TB to petabytes) You value SQL as a flexible and extensible tool and are comfortable with modern SQL data orchestration tools like DBT, Mode, and Airflow. [Nice to have] You have experience working with different performant warehouses and data lakes; Redshift, Snowflake, Databricks [Nice to have] You have experience building and maintaining batch and real-time pipelines using technologies like Spark, Kafka. $163,200 - $223,200 a year The target base salary for this position ranges from $163,200/year to $223,200/year in Zone 1. The target base salary will vary based on the job's location. Our geographic zones are as follows: Zone 1 - New York City and San Francisco Bay Area Zone 2 - Los Angeles, Seattle, Washington D.C. Zone 3 - Austin, Boston, Denver, Houston, Portland, Sacramento, San Diego Zone 4 - Raleigh-Durham and all other US cities Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Plaid provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay is based on factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and skillset, and location. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

Real-World Data & Clinical Informatics Data Engineer, Senior The Opportunity: As a Data Engineer, you will support the development and maintenance of scalable data stores that supply big data and real-world data in forms needed for data analysis. You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives, including developing robust Extract, Transform, and Load (ETL) processes to integrate data from various sources into our data ecosystem, and designing and maintaining data models, schemas, and database structures to support analytical and operational use cases. You will collaborate closely with cross-functional teams to ensure the availability, reliability, and performance of our data systems and solutions. Join us. The world can't wait. You Have: 5+ years of experience with the entire ETL pipeline, including data acquisition, data preparation, and database architecture with accompanying codebooks, data dictionaries, and metadata repositories 3+ years of experience with programming languages, such as Python, R, or SQL 2+ years of experience in AWS and big data ecosystems Experience building real-time data processing applications Experience with GitHub Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor's degree Nice If You Have: Experience with AI or ML pipelines and processes Experience with Metadata Management Experience in working with federal public health agencies Possession of excellent communication skills Master's degree preferred; Doctorate degree a plus Vetting: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $77,600.00 to $176,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! Docker is seeking a Data Scientist to join our Data Insights team. You will be a key individual contributor, applying statistical rigor and advanced analytical techniques to extract value from our product and business data. This role requires a strong understanding of product usage to provide actionable insights that drive business strategy and feature development. This is a hands-on analytical role focused on independent execution, deep-dive analysis, and translating complex data into clear business recommendations. You'll work closely with Product Managers, Executive Leaders, and Engineering teams to define key metrics, measure product health, and inform data-driven decisions. Success in this role requires a strong foundation in statistics, advanced SQL skills, and proven experience in product experimentation and reporting for a technical audience. Responsibilities Product Analytics & Experimentation Understand detailed usage of Docker products by analyzing user behavior data, translating complex questions into analytical plans, and building robust product metrics. Run and measure product experiments (A/B tests) from design through interpretation, clearly articulating results and recommendations to stakeholders. Develop and maintain key performance indicators (KPIs) and operational metrics for product features and overall business health. Strategic Insights & Reporting Provide actionable insights for Product Managers on user engagement, feature adoption, and growth opportunities to directly inform the product roadmap. Build deep dive reports for Executive Leaders on critical business trends and the performance of strategic initiatives, presenting findings in a clear, compelling narrative. Collaborate with engineering teams on data logging, instrumentation, and ensuring the accuracy of product data pipelines. Technical Execution & Modeling Apply statistical modeling and machine learning techniques to solve business problems (e.g., churn prediction, segmentation, propensity modeling). Design and implement data visualizations and self-service dashboards to democratize data access across the organization. Ensure data quality and integrity for all analytical outputs and reports. Collaboration & Communication Partner with cross-functional teams (Product, Engineering, Marketing, Sales) to define data requirements and analytical objectives. Mentor junior analysts on best practices for data visualization, statistical analysis, and clear communication of results. Qualifications Required: Technical Expertise 3+ years of experience in a Data Scientist or Product Analyst role, preferably within a technology or SaaS company. Expert proficiency in SQL for complex data extraction and manipulation. Strong proficiency in a statistical programming language (Python or R) , including libraries for data manipulation, analysis, and statistical modeling. Proven experience designing, launching, and analyzing A/B tests or other product experiments . Experience with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery) and data visualization tools (e.g., Sigma, Tableau, Looker). Analytical & Statistical Foundations Advanced knowledge of statistical methods (regression, hypothesis testing, time series analysis) and their application to business problems. Demonstrated ability to translate open-ended business questions into structured analytical projects and deliverables. Communication & Leadership Excellent verbal and written communication skills, with the ability to present complex analytical findings to both technical and executive audiences. Demonstrated ability to work independently and drive projects from conception to completion with minimal supervision. Preferred: Experience analyzing data related to developer tools or B2B SaaS products. Advanced degree (M.S. or Ph.D.) in a quantitative field such as Statistics, Computer Science, Economics, or Mathematics. Knowledge of container technologies (Docker, Kubernetes). Key Success Metrics Impact of actionable insights on product feature adoption and business revenue. Quality and clarity of executive-level deep-dive reports. Successful design and interpretation of product experiments. Demonstrated independence in driving analytical projects. Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 13, 2024. Please see the independent bias audit report covering our use of Covey here . Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

About Us: We give businesses and their customers peace of mind by solving complex credit challenges with precision, speed, and intelligence, combining deep expertise with advanced technology, to simplify the experience and deliver better outcomes, every time. We're a fast-growing fintech empowering enterprise merchants with smarter, more adaptive pay-over-time solutions. From point-of-sale financing to “Buy Now, Pay Later” programs and loyalty integrated offers, we’re building configurable credit tools that help businesses serve more of their customers. We value teamwork, clarity of purpose, and rigorous attention to data to drive action. We balance speed and excellence to deliver an exceptional customer experience. Role Overview: ClarityPay is undertaking a transformative approach to our data strategy, tech stack, and data products and platforms. We are looking for a Head of Data Strategy to architect and build our future state. This is not a traditional, hands-off executive role. We possess a data infrastructure that requires significant upliftment to meet the demands of our scale. We need a visionary leader who is equally passionate about writing code as they are about defining strategy. You will lead the migration from a legacy setup to a modern, scalable AWS ecosystem, establishing the data governance, MLOps, and AIOps frameworks that will allow us to become a truly data and intelligence driven operations organization. You will be a catalyst for our healthy and growing business, taking ownership of the entire data lifecycle—from ingestion to insight to automated decision-making. Key Responsibilities: Data Strategy & Transformation: Define and execute the roadmap to modernize our data architecture. You will lead the transition from suboptimal legacy systems to a best-in-class cloud environment, ensuring our infrastructure supports hyper-scale analytics and real-time ML inference. Infrastructure Engineering (Hands-on): Architect and implement a robust data lakehouse solution using the AWS ecosystem (S3, Glue, Redshift/Athena), and potentially onboard Databricks. You will ensure the pipes are clean, reliable, near real-time, and scalable. MLOps & AIOps Leadership: Build the rails for our models to run on. You will design the CI/CD pipelines for Machine Learning (using tools like SageMaker), ensuring that our underwriting and operational models can be deployed, monitored, and retrained with minimal friction. Data Governance & Quality: Establish the "rules of the road." You will implement rigorous data governance standards, ensuring data lineage, security, and quality control are baked into the architecture, not added as an afterthought. Operationalizing Intelligence: Champion scientific rigor in data-driven decision-making. Work with Operations, Technology, and Product to embed data signals directly into our operational workflows, moving the company from "reporting on the past" to "predicting the future." Team Leadership: Recruit and mentor a team of high-performing data engineers and ML engineers. We believe in empowering our people to be successful, and you will foster a culture of technical excellence and curiosity. What We're Looking For Experience: 5+ years in Data Engineering or ML Engineering, with at least 4+ years in a leadership role scaling data platforms. Technical Mastery (AWS): Deep, hands-on experience with AWS Sagemaker, Glue, Lambda, Step Functions, and Redshift. You should be comfortable discussing partition strategies in S3 one minute and presenting to the Board the next. Strong Programming Skills: Proficiency in Python, Spark, Distributing Computing, and SQL is non-negotiable. You must be able to create, maintain, audit code and contribute to the repository when necessary. MLOps Expertise: Proven experience building Machine Learning Operations pipelines. You understand the complexities of model drift, feature stores, and inference latency, in additional to Bayesian approaches to uncertainty. Governance Mindset: Experience implementing data governance frameworks in a regulated industry (FinTech/Banking) is highly preferred. Builder Spirit: You thrive in environments where the path isn't fully paved. You enjoy the challenge of taking a "suboptimal" infrastructure and turning it into a competitive advantage. What Sets Us Apart: High Impact: You will have the unique opportunity to shape the data strategy from the ground up at a company with a very healthy core business and tremendous runway. Collaborative Culture: We are a collaborative team and genuinely enjoy working with each other. You will work side-by-side with the C-Suite to drive the business forward. Innovation: We are building a product that reimagines the way merchants serve their customers through embedded financing, and your data strategy will be the engine that powers that vision. What We Offer: Competitive compensation and equity package. Comprehensive benefits (medical, dental, vision). Collaborative office culture with a strong product mindset. Opportunities to grow, lead, and shape the future of consumer finance. 401k program Ready to redefine consumer lending with us? Apply today and join a passionate team committed to making financial clarity a reality. Salary Range: $175K - $250K per year, based on experience and qualifications. Please email mj@claritypay.com if you are interested along with a resume. ClarityPay is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, age, disability, veteran, marital status, or any other legally protected status.