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

Senior Data Engineer, Data Platform AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used, why customers vary, and identify opportunities for physicians to better serve their patients. Each year, the FDA approves ~6,000 new medical devices. Our solution helps MedTech companies get these products to physicians more effectively so they can improve patient care with the latest technology. We're backed by Benchmark, Redpoint, ICONIQ Growth, and Ajax Health. We're a high-growth SaaS company scaling rapidly. In this role, you will lead initiatives to improve and exapnd core data products and you will extend our data platform capabilities. You will build highly instrumented and automated data pipelines to obtain new data, improve the quality and performance of existing data assets, and architect a scalable platform that improves the development of our data products. You will report to the Senior Engineering Manager, Data, and work cross-functionally with engineering, product, and other teams. Team Mission The Data Team is on a mission to represent medical reality by transforming raw data into assets that directly generate sales for our customers and help to bring cutting edge medical technology to the patients that need it most. We thrive on the challenge of turning complexity into simplicity and driving the continuous growth of our products. We acquire terabytes of data from diverse sources, and refine them with modern data processing tools and machine learning algorithms. This shapes the future of our products and delivers value to the customers. Responsibilities Design resilient and well-modeled data layers with clear interfaces and versioning Improve data quality at scale, build modular and reusable packages and instrument pipelines for rich telemetry Identify scalability problems and constraints in our products, and proactively work to improve them Drive and introduce initiatives across our data team to improve developer experience and develop new data capabilities Create and maintain the most reliable, secure, performant and high throughput service for our customers by using cutting-edge cloud technology Your Profile 8+ years in data engineering with significant data product ownership Strong proficiency with standard machine learning techniques Experience with batch processing of data at scale (>100s of Terrabytes) Strong ownership, collaboration and communication skills Nice to Haves Familiarity with the GCP, BigQuery, dbt and Dagster data stack Familiarity with healthcare domain and data AcuityMD is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role's scope and complexity, and the candidate's experience and expertise, market data and may vary from the range provided. Base salary range: $155,000 - $230,000 You must have an eligible work permit in the USA to be considered for this position. We Offer: Ground floor opportunity: Join a high-growth startup, backed by world-class investors across Enterprise SaaS and Medical Devices (Benchmark, Redpoint Ventures, and Ajax Health). Learning Budget: Reimbursements for relevant learning and up-skilling opportunities. Remote work: AcuityMD is committed to supporting full-remote flexibility for employees in the US. We provide a work-from-home stipend for all employees. Flexible PTO: Generous time off and flexible hours give you the freedom to do your best work. Paid Health, Dental, and Vision Plans: We offer 100% paid health, dental, and vision plans for all employees and 75% paid for our employees' dependents. Home Office Stipend: $1,000 to invest in remote office equipment and WiFi reimbursement. Optional Team Retreats: We meet in-person multiple times per year for co-working and social gatherings. Parental Leave: 6-12 weeks of fully-paid, flexible parental leave. Who We Are: The Company: We are builders, who are inspired by our mission to expand patient access to cutting-edge medical technologies. We value working collaboratively to solve hard problems for our customers with simple, innovative solutions. We push ourselves to learn with empathy. We foster an active culture of mentorship and inclusion, and we welcome new team members that share our values. We're backed by Benchmark, Redpoint Ventures, Ajax Health, and several other leading software and medical device investors. Since Acuity launched in 2020, we've brought on customers ranging from publicly traded Fortune 500 companies to innovative growth-stage companies and regional medical device distributors. The Product: AcuityMD uses data and software to help teams collaborate around the complex relationships they have with the users of medical technologies: doctors. Our platform empowers medical technology companies to see how their products are used, understand why outcomes vary, and identify opportunities where physicians or sites of care can better serve their patients. AcuityMD is an Equal Opportunity Employer AcuityMD is seeking to create a diverse work environment because all teams are stronger with different perspectives and life experiences. We strongly encourage people of all backgrounds to apply. We do not discriminate on the basis of race, gender, religion, color, national origin, sexual orientation, age, marital status, veteran status, or disability status. All employees and contractors of AcuityMD are responsible for maintaining a work culture free from discrimination and harassment by treating others with kindness and respect.

Note: We are not offering sponsorship for this role. Is the opportunity to join a culture where "We Do the Right Thing," and "We Courageously Shape Our Future Together" important to you? If so, Guardian is seeking a resolute motivated individual to join our team as a Data Scientist/Senior Data Engineer- Finance Transformation. Guardian is seeking a technically skilled and business-savvy Technical Analyst / Data Engineer to design, develop, and support advanced actuarial and financial applications. This role will play a critical part in transforming our actuarial and finance functions by building scalable data pipelines, dashboards, and machine learning models that enhance decision-making and operational efficiency. You will work closely with Actuarial, Finance, Data Science, and Technology teams to deliver solutions used in reserving, pricing, predictive analytics, and financial reporting. You will: Machine Learning, Engineering & Analytics Development Build and optimize large-scale data pipelines using PySpark, SQL, and Python on cloud platforms such as Databricks and AWS Utilizing advanced statistical and AI/ML techniques to develop, deploy, and support predictive models and actuarial tools used for reserving, pricing, and FP&A (e.g., claims projection model, LTD Reserving model) Automate manual actuarial/finance processes by integrating coding workflows with structured datasets and business logic Support use case development that includes initial data exploration, project/sample design, reception, and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses, and prepare modeling datasets Identification of source data and data quality checks both in model/solution development and in production Packaging of model/solution and deployment in cooperation with Data Engineers and MLOps Implement new statistical or other mathematical methodologies as needed for specific models or analysis. Data Integration & Validation Work across data domains to ingest, cleanse, and structure financial and actuarial datasets from multiple sources (e.g., Claims systems, Billing and Commissions system) Implement robust data quality checks and reconciliation controls to ensure accuracy and completeness of critical reporting and modeling datasets Collaboration & Documentation Collaborate with actuaries, finance SMEs, and business analysts to translate complex requirements into efficient technical designs. Maintain clear documentation for code, data flows, model logic, and user instructions. You have Technical Expertise & Domain Knowledge 6-8 years in a data engineering, actuarial modeling, or analytics-focused technical role, ideally in Group insurance or Financial services 2+ years of hands-on ML modeling/development experience Solid understanding of data analysis and statistical modeling. Knowledge of a variety of machine learning techniques (clustering, decision tree, bagging/boosting artificial neural networks, etc.) and their real-world advantages/drawbacks. Demonstrated track records in experimental design and executions Hands-on experience with data wrangling including fuzzy matching and regular expression, distributed computing and applying parallelism to ML solutions Strong programming skills in Python Solid background in algorithms and a range of ML models Working knowledge of Pricing and actuarial processes, or Group insurance product structures Proficiency in Python, PySpark, and SQL is essential Experience working with Databricks, Tableau, Power BI, or similar visualization and cloud platform Exposure to ML/AI libraries and framework to develop or enhance models Soft Skills Analytical mindset with strong attention to detail Self-starter who thrives in fast-paced, cross-functional teams Education Bachelor's or Master's degree in Computer Science, Actuarial Science, Mathematics, Engineering, Finance, or a related discipline or equivalent experience. Preferred Qualifications Hands-on experience building valuation, reserving, or pricing models for group insurance products Experience in agile or SAFe environments with sprint planning, Jira, or Confluence Strategic and creative thinker with ability to think outside the box and translate strategies into actions Excellent problem-solving skills Team player with proven ability to foster and manage working relationships within a matrix environment Candidate must be comfortable with ambiguity in strategic direction. Priorities will change as current uncertainties become new standards and shape the market. There must be constant balance between proactive and reactive strategy and execution. Candidate must work well in a collaborative and diverse team environment, understanding and employing the approach and standard operating procedures of all functional areas across Guardian Excellent oral and written communication skills Location: Hybrid role- 3 days in a Guardian office located in Holmdel, NJ; Bethlehem PA; or Hudson Yards, NYC. 2 days WFH. 10% Travel to other offices as determined by the People Leader Salary Range: $99,150.00 - $162,885.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MyHR@glic.com. Please note: this resource is for accommodation requests only. For all other inquires related to your application and careers at Guardian, refer to the Guardian Careers site. Visa Sponsorship Guardian is not currently or in the foreseeable future sponsoring employment visas. In order to be a successful applicant. you must be legally authorized to work in the United States, without the need for employer sponsorship. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

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.

Senior Data Analyst Current is a leading consumer fintech platform transforming financial access for everyday Americans with over five million members. We provide access to financial solutions that seamlessly work together to solve the needs of our members and enable all Americans to build better financial futures. Based in NYC, our results-driven environment drives us to build better products, grow faster and empower everyone on our team to have an impact on our business and mission to improve financial outcomes. ABOUT THE ROLE We are seeking a strong Senior Data Analyst with preferably prior industry experience in FinTech and the B2C/DTC domain. You will play a crucial role in leveraging data to drive strategic decisions, optimize business performance, optimize our customer interactions, and ensure a frictionless user experience. You will leverage advanced analytics to identify trends, measure performance, and provide strategic insights that support data-driven decision-making across the organization. RESPONSIBILITIES Analyze large datasets to identify trends, insights, and opportunities that drive business growth. Develop and maintain dashboards and reports to track key performance indicators (KPIs) across various business functions. Partner with cross-functional teams, including Product, Engineering, Marketing, and Customer Success, to implement data-driven solutions. Utilize predictive analytics and machine learning models to optimize business processes and customer engagement strategies. Conduct A/B testing and customer segmentation analysis to enhance decision-making and personalization strategies. Provide actionable insights to leadership on business performance, customer behavior, and operational trends. Ensure data integrity, accuracy, and governance across multiple data sources and platforms. Mentor junior analysts and contribute to a data-driven culture within the company. ABOUT YOU 5+ years of experience in data analytics, preferably in fintech, banking, or a technology-driven industry. Strong proficiency in SQL, Python, or R for data analysis and manipulation. Experience with data visualization tools such as Tableau, Looker, or Power BI. Expertise in business intelligence, forecasting, and performance analytics. Familiarity with machine learning techniques and predictive analytics is a plus. Strong understanding of A/B testing, customer segmentation, and retention strategies. Excellent problem-solving skills and the ability to translate complex data into actionable insights. Strong communication skills to effectively collaborate with technical and non-technical stakeholders. Additional Skills and Qualifications Experience with Looker or other business intelligence tools is preferred. Exposure to dimensional modeling concepts to power meaningful analytics. Ability to visualize data effectively and communicate insights clearly and concisely. Experience modeling data using dbt. Familiarity with machine learning techniques and predictive analytics is a plus. Experience working with Fintech, banks or a B2C company. This role has a base salary range of $150,000 - $200,000. Compensation is determined based on experience, skill level, and qualifications, which are assessed during the interview process. Current offers a competitive total rewards package which includes base salary, equity, and comprehensive benefits. BENEFITS Competitive salary Meaningful equity in the form of stock options 401(k) plan Discretionary performance bonus program Biannual performance reviews Medical, Dental and Vision premiums covered at 100% for you and your dependents Flexible time off and paid holidays Generous parental leave policy Commuter benefits Fitness benefits Healthcare and Dependent care FSA benefit Employee Assistance Programs focused on mental health Healthcare advocacy program for all employees Access to mental health apps Team building activities Our modern Chelsea-based office with open floor plan, stocked kitchen, and catered lunches

Who we are looking for State Street's newly formed Data Intelligence unit is seeking a Managing Director-level Data Scientist to lead development of data‑driven products that enhance client outcomes using the firm's proprietary data assets. The team builds and expands offerings such as PriceStats, the world's leading source of high‑frequency inflation analytics, and the Private Capital Indices, derived from State Street's extensive private equity and private credit datasets. The role will drive new product innovation across private capital, trading, and economic data sourced internally and through partnerships. Why this role is important to us You will be joining the Institutional Services function that allows us to deliver a comprehensive, holistic approach to each client relationship - for asset managers and asset owners, insurance companies, and official institutions globally. It means our client-facing functions work together to bring the very best solutions and services the firm has to offer - across all of our locations, products, and capabilities. Join us if making your mark on the long-lasting client relationships we build is a challenge you are up for. What you will be responsible for Lead design, development, and deployment of advanced analytics and machine‑learning solutions using State Street's proprietary data. Oversee methodological research and product development for private capital and economic data products. Collaborate with technology, research, and business teams to scale data product development and client‑facing analytics. Communicate insights, model performance, and product direction to clients and senior stakeholders. What we value These skills will help you succeed in this role Expertise in Python, SQL, machine learning, AI, and modern data‑science techniques. Extensive knowledge of quantitative financial methods and experience working with large, complex financial datasets. Master's degree in a relevant field (e.g., Data Science, Computer Science, Economics, Finance, Statistics). Exceptional communication, technical/quantitative, and collaborative product development skills are a must. Education & Preferred Qualifications 5+ years of experience in data science, quantitative research, or a related role. Are you the right candidate? Yes! We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don't necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit. About State Street What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients. Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to Flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential. Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you. State Street is an equal opportunity and affirmative action employer. Salary Range: $170,000 - $267,500 Annual The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ. Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans. For a full overview, visit https://hrportal.ehr.com/statestreet/Home . About State Street Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success. We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future. As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law. Discover more information on jobs at StateStreet.com/careers Read our CEO Statement Job Application Disclosure: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

COMPANY OVERVIEW At Harbor Health, we’re transforming healthcare in Texas through collaboration and innovation. We’re seeking passionate individuals to help us create a member-centered experience that connects comprehensive care with a modern payment model. If you’re ready to make a meaningful impact in a dynamic environment where your contributions are valued, please bring your talents to our team! POSITION OVERVIEW Harbor Health is rebuilding the operating system of healthcare. The HDS team contributes to this by building "HarborOS", the central nervous system of our clinical operations, tying together information from different clinical sources to drive optimal outcomes for our members. Data is our product.We are looking for Analytics Engineers to build and our data ingestion layer to bring in the data that will help us transform healthcare. You will not just move data, you will convert it into actionable insights to help our clinic network change lives. You will take raw chaos (claims, ADT, clinical data) and architect the trusted data marts that power out patient care, risk adjustment, and financial decisions. WHAT YOU WILL DO Build the Semantic Layer: Design and implement production-grade dbt models that transform raw source data into clean, documented, and tested Data Marts. Enforce Data Quality: Move beyond basic NOT NULL checks. Implement semantic validation rules (using dbt tests or Great Expectations) that catch business logic failures before they hit the dashboard. Own the Pipeline: Manage the lifecycle of your data models from IDE to production, including code review, CI/CD integration, and performance tuning in Snowflake. Bridge the Gap: Collaborate with Platform Engineers to understand upstream ingestion patterns (Python/Fivetran) and debug data issues at the source. Design the core Star Schemas and data models that define our business. You will decide how we model complex concepts like "Attribution," "Risk," and "Claims Adjudication" to ensure historical accuracy and query performance. Act as the primary interface between Clinical Operations and Engineering. You will interview stakeholders to uncover the "Why" behind their requests and translate vague business needs into precise technical specifications. Mentorship & Standards: Set the standard for SQL style, dbt macro usage, and testing rigor. Mentor intermediate engineers on healthcare domain nuances (e.g., why a reversal claim behaves differently than a void). WHAT WE NEED SQL Mastery: You can write performant, readable, and complex SQL. You understand window functions, CTEs, and the difference between a LEFT JOIN and a CROSS JOIN intuitively. dbt Fluency: You have used dbt in production. You understand incremental models, snapshots, and how to structure a project for scale. Python Literacy: You can read and understand Python scripts. You may not build the ingestion framework from scratch, but you can debug a transformation script if needed. Data Warehouse Fundamentals: You understand how column-oriented databases (Snowflake) work and how to write queries that prune partitions effectively. STRONGLY PREFERRED You bring deep subject matter expertise in healthcare data domains. You are fluent in processing 837 files, modeling the claim lifecycle (Adjudication, Reversal, Denial), and handling provider data nuances (NPI vs. TIN). Proven experience designing Dimensional Models (Kimball/Star Schema) from scratch. You know when to denormalize for performance and when to normalize for integrity . OUR STACK Transformation: dbt (Core/Cloud) Warehouse: Snowflake Ingestion: Fivetran, Python (Custom) Orchestration: Airflow / Dagster BI/Semantic Layer: Omni WHAT WE OFFER Opportunity to shape the financial foundation of an innovative healthcare model Collaborative and dynamic work environment An organization made of people who are passionate about changing the healthcare landscape Competitive salary, company equity and robust benefits package Professional development and growth opportunities A transparent and unique culture Harbor Health is an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We are committed to creating an inclusive environment for all clinicians and teammates and actively encourage applications from people of all backgrounds. Powered by JazzHR

Healthcare Data Analyst, Data Ecosystem Team Truveta is the world’s first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every clinician to be an expert, and help families make the most informed decisions about their care. Achieving Truveta’ s ambitious vision requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values . Truveta was born in the Pacific Northwest, but we have employees who live across the country. Our team enjoys the flexibility of a hybrid model and working from anywhere. In person attendance is required for one week during the year for Truveta Planning Week. For overall team productivity, we optimize meeting hours in the pacific time zone. We avoid scheduling recurring meetings that start after 3pm PT, however, ad hoc meetings occur between 8am-6pm Pacific time. #LI-remote Who We Need Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. This Opportunity As part of the Ecosystem division, the newly formed Healthcare Analytics team is central to delivering on Truveta’s mission by empowering health system clinical and administrative leaders to measure, learn, and improve. We are building exemplary metrics, dashboards, and benchmarks that inspire adoption of Truveta by our member health systems. The Healthcare Analytics team is looking for a Healthcare Data Analyst who thrives at the intersection of EHR data expertise, rigorous analytics qualifications, and collaborative problem solving. You will play a critical role in creating high-quality analytic outputs that health systems can adopt and customize to improve care quality, population health, clinical operations, and financial sustainability, solving consequential problems in healthcare using an EHR database of ~120 million patients (and growing!), while positively impacting patient outcomes. This role is ideal for someone with hands-on experience working with EHR data, strong data wrangling skills, and a passion for turning data into meaningful insight that resonates with clinicians, health system executives, and operational leaders. As a Healthcare Data Analyst , you will have the opportunity to translate complex clinical and claims data into clear, defensible evidence that supports member initiatives in safety, quality, cost reduction, and growth. Responsibilities Develop iconic analytic outputs (studies, dashboards, benchmarks) that demonstrate Truveta’s unique value and inspire members to replicate, customize, and apply insights to address common, high-priority health system challenges. Wrangle large-scale healthcare datasets and build reproducible queries using SQL, R, and/or Python to scope analytic use cases, assess feasibility, and deliver studies and dashboards within agreed timelines, while developing subject matter expertise in Truveta’s proprietary coding language and analytics platform. Engage with clinical, quality, and operational leaders by delivering case studies, interactive demos, and analytic output that showcase Truveta’s differentiated capabilities and highlight how Truveta can impact healthcare’s mission and margin objectives. Collaborate closely with cross-functional teams to validate data quality, investigate issues, and provide feedback that informs Truveta’s product roadmap. Use AI thoughtfully and strategically to spark new ideas and tackle problems. Apply AI to speed feedback loops, test hypotheses, and deliver insights faster, while balancing judgment, creativity, and an awareness of its limitations. Required Skills Undergraduate or graduate (preferred) education in data analysis, clinical informatics, epidemiology, public health, or a related field. Experience working with large relational database consisting of millions of patients' records. Experience building dashboards, benchmarks, or metrics to achieve measurable improvement in health system operations, quality outcomes, or population health. 2+ years of experience wrangling and analyzing EHR data or other real-world data sources using SQL, R and Python. Knowledge of clinical terminologies such as ICD, SNOMED, LOINC, RxNorm, or NDC. A willingness to learn new coding languages including internal proprietary coding language to analyze data and build cohorts. Experience translating healthcare and operational concepts into analytic workflows. Strong communication skills to present insights and results to both technical and non-technical audiences. Ability to learn and adapt quickly in a dynamic start-up environment. Preferred Qualifications These qualifications are preferred but not required, please do not let them stop you from applying for this role. You will likely get the opportunity to learn how to do these more advanced analyses if you don’t already have experience with them. Experience working with unstructured clinical data, natural language processing outputs, or AI/ML tools Knowledge of distributed computing platforms (Spark) and associated data analysis languages (Spark SQL, PySpark, SparkR) Experience building cohort definitions, defining metrics, and interpreting analytic findings Why Truveta? Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional and everything in between. Join us as we build an amazing company together. We Offer: Interesting and meaningful work for every career stage Great benefits package Comprehensive benefits with strong medical, dental and vision insurance plans 401K plan Professional development & training opportunities for continuous learning Work/life autonomy via flexible work hours and flexible paid time off Generous parental leave Regular team activities (virtual and in-person) The base pay for this position is $105,000 to $130,000. The pay range reflects the minimum and maximum target. Pay is based on several factors including location and may vary depending on job-related knowledge, skills, and experience. Certain roles are eligible for additional compensation such as incentive pay and stock options. If you are based in California, we encourage you to read this important information for California residents linked here. Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contractors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all of the requirements. Please note that all applicants must be authorized to work in the United States for any employer as we are unable to sponsor work visas or permits (e.g. F-1 OPT, H1-B) at this time. We appreciate your interest in the position and encourage you to explore future opportunities with us.

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our Canonsburg, PA office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Business Unit: Pharmacy Senior Data Analyst The Senior Data Analyst will serve as a core contributor within the Data Solutions team, responsible for designing, developing, and maintaining scalable, customer-facing data solutions that support reporting, analytics, and data access products. This role partners closely with Product Management, Engineering, and Customer-facing teams to gain understanding of the needs/requests and perform analytics to develop solutions that will support the various custom/Ad-hoc in nature business and client requirements. Duties and Responsibilities: Design and deliver scalable data solutions supporting Data Access feeds, reporting modules, dashboards, and analytics products; Translate product requirements, customer needs, and operational use cases into well-structured data models, views, and analytical outputs; Develop complex SQL-based transformations and queries across relational and cloud data platforms (e.g., Oracle SQL Developer, Snowflake, PostgreSQL); Design and maintain logical and physical data models optimized for performance, reuse, and customer self-service; Partner with Engineering and Product to align data models with platform capabilities, roadmap direction, and security standards; Ensure consistency and traceability of data definitions across products and customer deliverables; Support customer-facing analytics by ensuring data accuracy, clarity, and explainability; Produce documentation describing data structures, business logic, metrics definitions, and known limitations; Act as a subject matter expert during customer escalations, implementation questions, and data validation efforts; Perform root-cause analysis on data discrepancies, pipeline failures, and performance issues; Enforce data quality checks, validation logic, and auditability within delivered solutions; Ensure all data solutions comply with HIPAA, internal security policies, and data access controls; Collaborate closely with Product Managers to refine requirements and influence solution design; Provide technical guidance and review for junior analysts; and Contribute to standards, best practices, and reusable patterns across the Data Solutions team Job Requirements: 3+ years of experience in data analytics, data engineering, or analytics-focused software development; Strong SQL expertise (Oracle SQL Developer, Snow SQL, T-SQL, PostgreSQL, or equivalent); Experience designing data models and analytics for external customers or productized data offerings; Experience working in regulated data environments (healthcare preferred); Proven ability to translate ambiguous business needs into structured data solutions; Strong documentation and communication skills; Experience with cloud data platforms (e.g., Snowflake); Familiarity with modern BI tools (Power BI, Looker, etc.); Exposure to healthcare analytics, claims data, or quality measures (e.g., HEDIS); Experience supporting tiered data products, customer entitlements, or role-based access; Prior collaboration with Product Management teams: Maintain compliance with the Inovalon’s policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within the Inovalon’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Education: Master’s degree plus 3 years of experience, will accept a Bachelor’s in Computer Science, Engineering, or related field of study, plus at least 5 years of experience in a related role. Physical Demands and Work Environment: Sedentary work (i.e., sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That’s why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $77,000 — $119,700 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply . Inovalon is most interested in finding the best candidate for the job , and you may be just the right person for this or other roles. By embracing inclusion , we enhance our work environment and drive business success. Inovalon strives to provide equal opportunit ies to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace . We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or v eteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

We are seeking a Senior Data Scientist/Architect to support our customer onsite in Bethesda, MD. This position will work directly with a Chief Data & Artificial Intelligence Officer (CDAO) to support a fast-paced, dynamic enviornment and work closely with a goverment customer and IT developers to validate customer's data and data analytics requirements. Primary Job Duties Establish Data Environments, and serve as the data visualization subject matter expert. Create and translate trend, time-series, and predictive analyses, and facilitate statkeholder decision-making technical exchange meetings. Participate in hands on work on data science for data modeling, design, model training, and implementation to meet enterprise requirements. Establishing the system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Using data visualization tools to create roadmaps, placemats and process flows; and creatively displaying data to facilitate customer decision-making processes. Applying data wrangling and exploration techniques. Manipulating data to gather insights from large structured and unstructured data sets and developing trend analyses. Developing algorithms to facilitate data analysis, support identification of data errors, and developing pattern analysis from multiple disparate data sources. Providing input on software implementation for analytics. Validating customer requirements and determining feasibility of solutions and alternative options. Contributing to and collaborating on executive-level briefings for the CDAO. Provide excellent organizational, analytical, data science abilities, and compile and organize statistical information retrieved and present findings to management. Strong math, coding and analytical skills are essential to complete job requirements successfully. Qualifications Current TS/SCI with Poly is required. Bachelor’s degree in Computer Science, Computer Engineering, or relevant STEM field. 10+ years of total professional experience in a technical setting; with at least 5 of those years as a Data Scientist, or related role. Ability to implement effective data solutions to ingest, curate, store and retrieve agency mission, business and IC data. Ability to establish a system environment for large data sets, considering aspects such as data capture, storage, extraction, process and analysis. Experience using data visualization tools to create roadmaps, placemats and process flows; and the ability to creatively display data to facilitate customer decision-making processes. Ability to manipulate data from disparate structured and unstructured sources to develop models and other detailed analysis that provide meaningful data insights. Experience with Programming languages like Python, Java, SQL and Cloud technologies. Ability to work in a dynamic and fast-paced mission environment which requires balancing competing priorities and schedules. Desired Skills: Have a depth of experience in data science, to include demonstrated experience with programming languages (e.g. Python, SQL), statistical programs (e.g. R and MS Excel), and data visualization tools (e.g. Tableau, Power BI, QlikView). Data scientist certification from AWS, Google, Microsoft, Oracle, or etc. Demonstrated experience with data modeling tools to include or similar to ER/Studio, Erwin or Lucid Chart. Deep understanding of machine learning and artificial intelligence for logical applications and techniques. Have experience working in Agile and DevOps environments.

ICF is seeking a highly capable HR Data Engineer / Data Scientist to support a large federal client in modernizing its enterprise learning and workforce data ecosystem. This role centers on designing and sustaining a scalable data integration capability that unifies multiple workforce - related data sources into a consistent, validated structure suitable for downstream HR and training systems. This position requires expertise in enterprise data engineering, workflow automation, data quality frameworks, metadata governance, and the translation of complex business rules into reliable technical logic. The ideal candidate brings experience working with HR, identity, or workforce - related datasets in large organizations and can partner directly with senior stakeholders across technical and business domains. Prior experience working in federally- regulated environments and proximity to the DC-Maryland-Virginia (DMV) area with the ability to go onsite as needed is strongly preferred. Key Responsibilities Design, build, and maintain automated pipelines that unify multiple HR and workforce ‑ related datasets into standardized, validated outputs. Develop and document transformation rules, business logic, mapping structures, and data quality checks to ensure accuracy and consistency. Create scalable workflows for ingesting structured and semi ‑ structured data from diverse systems with varying formats and update cycles. Implement validation routines, anomaly detection, and error ‑ handling mechanisms to maintain reliable, high ‑ quality data products. Produce well ‑ structured, standardized outputs compatible with enterprise learning or workforce management platforms. Collaborate with technical and non ‑ technical stakeholders to refine requirements, resolve data ambiguities, and support decision ‑ making. Maintain alignment with enterprise ‑ wide data standards, schemas, and governance guidance as they evolve. Participate in cross ‑ team or cross ‑ agency coordination forums to represent program needs and communicate the impact of data ‑ related decisions. Develop and execute test plans, including business ‑ rule validation, regression checks, and iterative QA cycles. Identify process improvements, integration gaps, and opportunities to enhance automation, scalability, and sustainability. Ensure solutions continue functioning amid changes to enterprise systems, dependencies, or data availability. Prepare and deliver technical documentation, operational procedures, and knowledge ‑ transfer materials for long ‑ term maintainability. Communicate risks, dependencies, and technical impacts clearly and proactively to project managers, leadership, and governance groups. Basic Qualifications Bachelor’s degree in a related field (e.g., Data Science, Computer Science, Engineering, Mathematics, Information Systems, HR Analytics, or similar). 8+ years of professional experience in data engineering, data science, analytics, or a closely related field. Additional Qualifications Extensive experience sourcing, integrating, transforming, and validating structured and unstructured data from diverse systems (e.g., developing Spark jobs, performing data manipulation with PySpark /pandas, and authoring robust, production‑grade SQL transformations ) . Proven ability to design and implement automated data workflows, integration pipelines, and large ‑ scale transformation logic (e.g., orchestrating pipelines using Apache Airflow, Azure Data Factory (ADF), or AWS Glue) . Hands-on experience developing predictive models, statistical analyses, or machine learning solutions (e.g., building and validating models in Python using PySpark ML, pandas, or related libraries) . Strong understanding of data quality management, validation frameworks, error ‑ handling approaches, data governance, master data management, and enterprise metadata practices (e.g., MDM survivorship rules, identity resolution logic, validation utilizing Great Expectations) . Demonstrated ability to facilitate requirements gathering, define business rules, and translate stakeholder needs into clear technical specifications (e.g., documenting required i mport fields and formats, converting business logic into ETL/ELT transformations) . Excellent communication skills with the ability to clearly convey complex technical concepts to non ‑ technical or cross ‑ functional audiences (e.g., explaining data lineage, logging, and metrics practices used to ensure pipeline traceability) . Exceptional documentation abilities and attention to detail (e.g., version-controlled artifacts in Git, CI/CD deployment documentation, and test suites using pytest and Great Expectations) . Preferred Qualifications Master’s degree preferred . 5+ years of experience supporting large ‑ scale or complex data ecosystems, preferably in government, healthcare, or highly regulated domains. Experience supporting HR import processes for enterprise systems (e.g., HRIS, LMS, identity systems). Background working with federal clients or within environments that require strict attention to data standards, compliance, and documentation. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer . Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist . All information you provide will be kept confidential and will be used only to the extent to provide needed reasonable accommodations. Read more about workplace discrimination righ t s or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted . This policy is in place to maintain the integrity and authenticity of the interview process. However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is : $131,256.00 - $223,134.00Nationwide Remote Office (US99)

Ankura is a team of excellence founded on innovation and growth. Practice Overview Ankura’s well-regarded and fast-growing Data Privacy practice offers a full-service suite of data privacy solutions for clients, regardless of industry or size. Our experts assess data privacy risk and readiness relative to existing and emerging privacy regulations and help organizations build and mature their privacy programs. Our Privacy practice is a rapidly growing part of the Data & Technology segment of our business. Our professionals help our clients address their data privacy challenges, including conducting privacy risk assessments, creating policies and procedures, building data inventories, reviewing and interpreting regulatory changes, developing consumer response processes, implementing technology and assisting organizations through privacy related regulatory investigations. Role Overview The Data Privacy Senior Managing Director role is an executive level position that leads our privacy team as well as sells, leads, and manages complex client engagement(s). The successful candidate will be a "person of stature" and self-sustaining rainmaker who generates $3 - $5 million+ annually. The candidate will possess a strong personal brand and deep market-making relationships resulting in a robust flow of inbound calls and bookings. The candidate will be a hands-on, passionate consulting executive who will work with team members in developing and executing on key account plans, nurturing executive level client relationships of the most strategic accounts, and achieving revenue targets. The successful candidate must be a commercial leader able to drive revenue growth and capture market share. The role will be intimately familiar with the practice's customer support objectives and responsible for designing, managing, and performing cyber data privacy activities and go to market strategy while conveying your results to internal and external customers. Requirements: Develop new revenue opportunities for Ankura; the primary target markets for this activity are C-suite executives and leaders within organizations. Source and close new clients through referrals, networking, and other means (tradeshows, regional organizations, etc.) Cultivate and maintain long term relationships with existing clients by delivering elite client service and engaging them by using knowledge of each industry and organization. Formulate plan to achieve monthly, quarterly, and annual revenue targets Design innovative solutions to solve for the evolving and complex data privacy regulatory landscape. Lead the day-to-day activities of engagements including interaction with other team members, subject matter experts, and client contacts Actively contribute to the growth and development of junior team members through trainings, informal mentorship, recruiting efforts, and culture building Build relationships and engage in activities such as speaking events and development of thought leadership designed to generate qualified leads, which will then be worked on in collaboration with Ankura practitioners. Qualifications: Bachelor’s degree from an accredited college/university. Advanced degrees, such as an MBA, are a plus. 10+ years of relevant business development work experience selling consulting services to target markets across multiple industries Proven revenue generation of $3 - $5 million+ annually in consulting and/or professional services with significant client engagement experience Experience implementing data privacy go to market strategy and new service offerings Knowledge of data privacy program management and implementation including ability to assess and interpret regulations and requirements to ensure compliance with data privacy standards Knowledge of various data privacy regulations globally such as GDPR, CCPA and HIPAA Knowledge and experience developing and managing key privacy deliverables such as: data inventory registers, privacy impact assessments, and privacy training Experience building data privacy teams Certified Information Privacy Professional (CIPP) certification a plus Willingness and flexibility to travel as required #LI-NT1 #LI-Remote Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

Job Description: AssetMark is a leading strategic provider of innovative investment and consulting solutions serving independent financial advisors. We provide investment, relationship, and practice management solutions that advisors use in helping clients achieve wealth, independence, and purpose. The Director of Data Engineering & Platform Strategy is a high-impact leadership role that bridges technical execution, architectural vision, and business strategy. This individual will serve as a hands-on technical leader responsible for the end-to-end delivery and operational health of AssetMark's data platform. The role includes direct management of data engineering teams and critical oversight of data governance, security, and the enablement of advanced analytics and AI/ML capabilities. We can consider candidates for this position who are able to accommodate a hybrid work schedule and are close to our Charlotte, NC office. Key Responsibilities I. Architecture & Strategic Leadership Define and Own Data Architecture: Define and drive the multi-year technical roadmap and architecture for AssetMark's enterprise data platform (Data Lakehouse, Data Warehouse, and Operational Data Stores). Ensure all data solutions are scalable, secure, resilient, and align with the enterprise vision (e.g., graph.assetmark.com concepts). Technical Authority & RFCs: Serve as the final technical authority on data architecture decisions. Lead and author strategic RFCs (Request for Comments) and architectural design reviews (ADRs), ensuring robust, future-proof designs across all data domains. Build vs. Buy Decisions: Lead the evaluation, selection, and implementation of new data technologies, frameworks (e.g., dbt, data observability tools, vector databases), and vendor solutions, balancing technical fit with financial cost-effectiveness. Pioneer AI/ML Data Enablement: Architect and implement data pipelines and infrastructure that specifically support data science and AI/ML model training, feature engineering, and inference serving, maintaining strong data governance throughout the lifecycle. II. Hands-On Delivery & Operational Excellence Engineering Oversight: Maintain a hands-on role in core design and code reviews, ensuring technical excellence, adherence to coding standards, and best practices across the engineering teams. Delivery Management: Oversee the successful, on-time delivery of complex, cross-functional data programs (e.g., major migrations, new product data foundations). Drive agile execution, project planning, and resource alignment for maximum efficiency. Governance Implementation: Translate data governance principles (data quality, lineage, classification) into automated, enforceable engineering practices within the CI/CD pipeline. Ensure compliance with financial industry regulations (e.g., PII handling, audit trails). Operational Health: Own the operational reliability, performance monitoring (SLAs/SLOs), and cost management of the data platform. Champion DevOps and Site Reliability Engineering (SRE) practices for data services. III. Stakeholder Management & Team Development Cross-Functional Collaboration: Act as the primary liaison and technical partner, collaborating closely with Product Managers to define requirements, Software Engineering teams to ensure data service interoperability, and Senior Business Stakeholders to align data initiatives with commercial priorities. Partner Management: Manage strategic relationships with critical external vendors, technology partners, and data providers (e.g., custodians, cloud vendors), ensuring favorable contracts and optimizing data acquisition strategies. Talent & Mentorship: Build, mentor, and lead a high-performing team of data engineers and architects, fostering a culture of ownership, technical rigor, and continuous learning. Guide career development and succession planning within the data engineering function. Required Qualifications Experience: 10+ years of progressive experience in Data Engineering, Software Architecture, or Technology Leadership, with at least 3+ years in a people management or dedicated technical leadership role. Hands-on Depth: Proven ability to remain hands-on in design and code architecture reviews. Deep expertise in Python, SQL, and distributed data processing (e.g., Spark/Databricks). Platform Expertise: Expert-level knowledge of modern cloud data platforms, including Snowflake, Azure Synapse, and/or Azure Fabric. Financial Domain: Strong preference for experience within the Financial Services, Wealth Management, or FinTech domain, including familiarity with concepts like custodial data, trade processing, and regulatory reporting. Leadership: Demonstrated success in setting coding standards, leading technical design reviews, and driving technical consensus across multiple development teams. Compensation: The Base Salary range for this position is between $215,000-$240,000. This information reflects a base salary range that AssetMark reasonably expects to pay for the position based on a number of factors which may include job-related knowledge, skills, education, experience, and actual work location. This position will also be eligible for additional variable incentive compensation and competitive benefits. Candidates must be legally authorized to work in the US to be considered. #LI-hybrid #LI-TN1 Who We Are & What We Offer: We are AssetMark, a company on the move, shaping the future of financial services. Growth is in our DNA. Every day, we combine technology, insight, and collaboration to create new possibilities for advisors, for our people and for our investors. At AssetMark your ideas matter; they're heard, valued, and drive meaningful change. Join a team that sets new standards and creates space for you to thrive and do your best work. Our Mission Our mission is simple: to help our 10,500+ financial advisors make a meaningful difference in their clients' lives. We do this by combining powerful technology, holistic support, and expert consulting to help advisors run stronger, more efficient businesses. Backed by a comprehensive suite of investment solutions and a trust company that boasts of $150B+ AUM, our platform empowers advisors to deliver exceptional service and an outstanding client experience. Our Values Heart. Client Success. Integrity. Respect. Excellence. Our values are how we show up every day. We believe in: Leading with Heart, in truly making a difference in the lives of others: teammates, clients, investors and communities. Obsessing over Client Success, bringing a relentless focus on what matters to clients that sets us apart and creates loyal, lasting relationships. Unyielding Integrity, doing what's right, always. Even when it's hard. Collective Respect, in being authentic, inclusive and valuing all voices while winning together. Operating with Excellence, in learning fast, continuously improving, innovating and collaborating to find new and better solutions. These values shape our culture, guide our decisions, and define what it means to be part of the AssetMark family. Our Culture & Benefits Our culture brings our mission and values to life. Here, we do what's right, embrace diverse ideas, and innovate together. We also offer a wide range of benefits to support you and your family-because thriving at work starts with thriving in life. Flex Time or Paid Time Off and Sick Time Off 401K - 6% Employer Match Medical, Dental, Vision - HDHP or PPO HSA - Employer contribution (HDHP only) Volunteer Time Off Career Development / Recognition Fitness Reimbursement Hybrid Work Schedule As an Equal Opportunity Employer, AssetMark is committed to building a diverse and inclusive workplace where everyone feels valued.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for. About the Role The New York Times is looking for a data engineer to join the Customer-Facing Data Products team to develop real-time data pipelines and APIs that process events and serve aggregated data for customer-facing use cases. You will report to the Engineering Manager for the Customer-Facing Data Products team and build widely reusable solutions to help partner teams solve our most important real-time needs, including behavioral and targeting use cases. This is a hybrid role based in our New York City headquarters. Responsibilities: Develop real-time data pipelines using Apache Kafka, Apache Flink, and other streaming technologies. Ingest and organize structured and unstructured data for widespread reuse across patterns. Implement mechanisms to ensure data quality, observability and governance best practices. Collaborate with software engineers and infrastructure teams to improve pipeline performance and integrate solutions into production environments. Stay current with latest technologies, keeping up with the latest advancements in streaming data processing and related technologies. Grow the skills of colleagues by providing clear technical feedback through pairing, design, and code review. Experience collaborating with product and partners to meet shared goals. Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world. Basic Qualifications: 2+ years of full-time data engineering experience shipping real-time solutions with event-driven architectures and stream-processing frameworks. Experience with AWS and their service offerings and tools. Understanding of modern API design principles and technologies, including REST, GraphQL, and gRPC for data serving. Programming fluency with Python. Experience using version control and CI/CD tools, such as Github and Drone. Preferred Qualifications: Experience developing pipelines with Apache Kafka, Apache Flink, or Spark Streaming. Experience with SQL and building APIs with GoLang and Protobuf. Understanding of cloud-native data platform technologies including data lakehouse and medallion architectures. This role requires limited on-call hours. An on-call schedule will be determined when you join, taking into account team size and other variables. REQ-018497 The annual base pay range for this role is between: $110,000-$130,000 USD For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs. For roles outside of the U.S., information on benefits will be provided during the interview process. The New York Times Company is committed to being the world's best source of independent, reliable and quality journalism. To do so, we embrace a diverse workforce that has a broad range of backgrounds and experiences across our ranks, at all levels of the organization. We encourage people from all backgrounds to apply. We are an Equal Opportunity Employer and do not discriminate on the basis of an individual's sex, age, race, color, creed, national origin, alienage, religion, marital status, pregnancy, sexual orientation or affectional preference, gender identity and expression, disability, genetic trait or predisposition, carrier status, citizenship, veteran or military status and other personal characteristics protected by law. All applications will receive consideration for employment without regard to legally protected characteristics. The U.S. Equal Employment Opportunity Commission (EEOC)'s Know Your Rights Poster is available here. The New York Times Company will provide reasonable accommodations as required by applicable federal, state, and/or local laws. Individuals seeking an accommodation for the application or interview process should email reasonable.accommodations@nytimes.com. Emails sent for unrelated issues, such as following up on an application, will not receive a response. The Company encourages those with criminal histories to apply, and will consider their applications in a manner consistent with applicable "Fair Chance" laws, including but not limited to the NYC Fair Chance Act, the Los Angeles Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For information about The New York Times' privacy practices for job applicants click here. Please beware of fraudulent job postings. Scammers may post fraudulent job opportunities, and they may even make fraudulent employment offers. This is done by bad actors to collect personal information and money from victims. All legitimate job opportunities from The New York Times will be accessible through The New York Times careers site. The New York Times will not ask job applicants for financial information or for payment, and will not refer you to a third party to do so. You should never send money to anyone who suggests they can provide employment with The New York Times. If you see a fake or fraudulent job posting, or if you suspect you have received a fraudulent offer, you can report it to The New York Times at NYTapplicants@nytimes.com. You can also file a report with the Federal Trade Commission or your state attorney general.

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR's insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR's investments may include the activities of its sponsored funds and insurance subsidiaries. POSITION OVERVIEW KKR is building out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operations Center of Excellence (CoE) is a cross-functional team dedicated to formulating and driving KKR's enterprise data strategy while also providing the operating leverage required to bring these strategies and frameworks to life. We are hiring a Vice President within the Data Operations CoE to lead Finance Reporting & Data. This individual will be responsible for driving a transformation program to consolidate financial reporting across multiple internal sources and external fund administrators, creating a unified and scalable reporting model for Finance. The VP will balance strategic leadership and hands-on execution, shaping the roadmap for Finance reporting while also designing, implementing, and running the processes and solutions required for BAU reporting on an ongoing basis. The role requires deep knowledge of finance and fund reporting, strong technical fluency with modern reporting platforms and data tools, and the ability to partner with stakeholders across Finance, Operations, and Technology to deliver timely, accurate, and actionable reporting. ROLES AND RESPONSIBILITY Transformation Leadership: Drive a firmwide program to consolidate and modernize financial reporting across internal sources and fund administrators Reporting Delivery: Own the design, build, and execution of financial reporting processes and outputs (management, investor, and regulatory), ensuring accuracy, timeliness, and consistency Hands-On Solutioning: Actively design reporting models, dashboards, and data pipelines leveraging Snowflake and BI/reporting platforms BAU Oversight: Run day-to-day Finance reporting processes, ensuring robust controls, efficiency, and scalability Stakeholder Partnership: Collaborate with Finance, Operations, and Technology to capture requirements, align priorities, and deliver high-quality reporting outputs Process Improvement: Identify opportunities to automate reporting, reduce manual intervention, and standardize outputs across Finance Data Integration: Oversee integration of administrator and third-party data into core Finance reporting models to enable consolidated views Metrics & Transparency: Define and publish KPIs on reporting timeliness, accuracy, and process efficiency for senior stakeholders QUALIFICATIONS Substantial experience in finance reporting, financial operations, or data/reporting management within asset management with a preference towards alts. Deep expertise in finance reporting processes, including management reporting, fund/investor reporting, and regulatory reporting Hands-on experience with Snowflake (or equivalent cloud data warehouse) and BI/reporting tools (e.g., Power BI, Sigma, Tableau) Proven ability to lead transformation programs that unify reporting across disparate data sources and third-party administrators Strong problem-solving and solution-design skills, with the ability to translate finance requirements into reporting processes and outputs Experience balancing strategic program leadership with hands-on execution in reporting delivery Excellent organizational and communication skills, with the ability to present reporting outputs and insights clearly to senior stakeholders Demonstrated leadership skills, including team management, stakeholder influence, and cross-functional collaboration Strong cultural fit - teamwork, results-oriented, proactive/self-starter, and high integrity PREFERRED QUALIFICATIONS Background in alternative investments or complex multi-asset platforms Experience working directly with fund administrators and integrating administrator data into reporting processes Familiarity with financial systems and their integration into enterprise reporting solutions This is the expected annual base salary range for this New York-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Base Salary Range $150,000 - $185,000 USD KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. Create a Job Alert Interested in building your career at Careers at KKR? Get future opportunities sent straight to your email. Create alert

Company: Oliver Wyman Description: Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients’ top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow’s risks and can optimize operations for the future. Above all, we work collaboratively with our clients’ leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects – and no two OW Digital projects are the same. You’ll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist , you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain’s state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science – e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don’t care whether you’re loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients’ problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We’re serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We’ve worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman’s status as one of the Fortune 100 “Best Companies to Work For”, and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here—and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other.This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We’ll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you’ve read, we’d love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search. And please include a short note introducing yourself and what you’re looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We’re not perfect, but we’re working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com . Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X.Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

Job Family : Data Science Consulting Travel Required : Up to 10% Clearance Required : Ability to Obtain Public Trust About our AI and Data Capability Team Our consultants on the AI and Data Analytics Capability team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science services, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as intelligent automation. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness. What You Will Do : Design and lead AI/ML and analytics solutions using best-in-class tools and platforms. Translate business challenges into actionable use cases and scalable data and AI products and services. Translate complex business challenges into actionable AI/ML and data solutions using platforms such as Snowflake, Databricks, Azure, AWS, and GCP. Lead client engagements from strategy through implementation, ensuring delivery excellence and measurable outcomes. Mentor and lead multidisciplinary teams including scientists, engineers, and consultants. What You Will Need : US Citizenship is required Bachelor's degree is required. Minimum FIVE (5) years of experience delivering technical solutions and programs to public sector organizations. Experience in data and AI system development, with a proven ability to design scalable architectures and implement reliable models. Strong foundational knowledge and experience in statistics, probability, and experimental design. Experience applying data governance concepts and techniques to assure greater data quality and reliability. Hands-on experience with Python, SQL, and modern ML frameworks. Strong understanding of best practices and techniques to support data and AI products across their entire lifecycle. Knowledge of generative AI and large language models (LLMs) for enterprise use cases. The knowledge and interest to remain current on emerging trends and techniques in the fields of data science and Artificial Intelligence. Strong communication skills to bridge technical and business worlds. What Would Be Nice To Have : Experience with MLOps and CI/CD pipelines for AI/ML deployment. Demonstrated work experience within the public sector. Familiarity with data privacy regulations (GDPR, CCPA) and ethical AI frameworks. Advanced Degree (Master’s or Ph.D.) in Data Science, Computer Science, AI, or related field. Experience with API development and integration for data services. Experience supporting business development including RFP/RFQ/RFI responses involving data science / analytics. #LI-DNI The annual salary range for this position is $130,000.00-$216,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. What We Offer : Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: Medical, Rx, Dental & Vision Insurance Personal and Family Sick Time & Company Paid Holidays Position may be eligible for a discretionary variable incentive bonus Parental Leave and Adoption Assistance 401(k) Retirement Plan Basic Life & Supplemental Life Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts Short-Term & Long-Term Disability Student Loan PayDown Tuition Reimbursement, Personal Development & Learning Opportunities Skills Development & Certifications Employee Referral Program Corporate Sponsored Events & Community Outreach Emergency Back-Up Childcare Program Mobility Stipend About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com . Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com . Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today SpaceX is actively developing the technologies to make this possible, with the ultimate goal of enabling human life on Mars. DATA ENGINEER - TOP SECRET CLEARANCE (APPLICATION SOFTWARE, DATA) The application software team is the central nervous system of SpaceX – we create mission critical applications that are used throughout SpaceX to accelerate launch vehicle production and flight as well as systems that allow Starlink to grow into a worldwide fast, reliable Internet service. We are looking for engineers who treat fellow teammates with fairness, respect, and support. Our team is creating systems to ingest and store concurrent streams of data from many always-on assets to manage the world’s largest satellite constellation, reusable rockets, and Dragon spacecraft. Other applications range from platforms that enable rapid build and reuse of Starship, designing the next generation manufacturing software that will be used in high throughput factories for Starlink, and public facing systems where customers can join our Starlink network globally. We work closely with engineers throughout the company to create and update our systems with respect to crewed launches, Starship flights, changes to the Starlink network and much more. Aerospace experience is not required to be successful here - rather we look for smart, motivated, collaborative engineers who love solving problems and want to make an impact on a super inspiring mission. You will have full ownership of challenging problems, working with a team of enthusiastic engineers to design and produce solutions that enable SpaceX to move towards our goals at a rapid pace. The success of the missions at SpaceX depends on the software that you and your team produce. RESPONSIBILITIES: Develop highly reliable and scalable data pipelines to empower engineers across SpaceX Create new applications that improve how the business at SpaceX operates Collaborate with peers on architecture, design, and code reviews Build prototypes to prove out key design concepts and quantify technical constraints Own all aspects of software engineering and product development Deep dive into business problems, find efficient solutions and apply first principles thinking BASIC QUALIFICATIONS: Bachelor's degree in computer science, data science, engineering, math, physics, or scientific discipline; OR 2+ years of professional experience building software in lieu of a degree 1+ years of experience in full stack development, software engineering, data engineering, or data science PREFERRED SKILLS AND EXPERIENCE: Programming experience in Python, C#, Java, Scala, Go or similar languages Experience working with in-stream, big data processing and analytics using Apache Kafka, Spark, Flink, SQL or similar Experience with relational and non-relational databases, data lakes e.g. HBase, Hive, Delta Lake, PostgreSQL, CockroachDB or similar Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar Good understanding of version control, testing, continuous integration, build, deployment and monitoring Some front-end experience in Angular, React, or similar JavaScript framework Good understanding of statistics, machine learning algorithms and frameworks ADDITIONAL REQUIREMENTS: Active Top Secret or TS/SCI. Note that an active clearance may provide the opportunity for you to work on sensitive SpaceX missions. If so, you will be subject to pre-employment drug and random drug and alcohol testing Willing to work extended hours and weekends when needed COMPENSATION AND BENEFITS: Pay Range: Data Engineer/Level I: $120,000.00 - $145,000.00/per year Data Engineer/Level II: $140,000.00 - $170,000.00/per year Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. Base salary is just one part of your total rewards package at SpaceX. You may also be eligible for long-term incentives, in the form of company stock, stock options, or long-term cash awards, as well as potential discretionary bonuses and the ability to purchase additional stock at a discount through an Employee Stock Purchase Plan. You will also receive access to comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short and long-term disability insurance, life insurance, paid parental leave, and various other discounts and perks. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year. Employees accrue paid sick leave pursuant to Company policy which satisfies or exceeds the accrual, carryover, and use requirements of the law. ITAR REQUIREMENTS: To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here . SpaceX is an Equal Opportunity Employer; employment with SpaceX is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status. Applicants wishing to view a copy of SpaceX’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should reach out to EEOCompliance@spacex.com .

Position at Parts Town See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks Parts Town Pride - check out our virtual tour and culture! Quarterly profit-sharing bonus Hybrid work schedule Team member appreciation events and recognition programs Volunteer opportunities Monthly IT stipend Casual dress code On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance The Data Engineer- Data Products & Delivery will specialize in turning raw data into business-ready products within GCP. They will design and optimize data models, marts, and semantic layers in BigQuery, enabling analytics, BI, and ML use cases across the enterprise. You will also support downstream systems and APIs that deliver trusted data for operational and AI-driven processes. You will play a foundational role in shaping this future - building the pipelines, products, and platforms that power the next generation of digital distribution. A Typical Day Build silver/gold layers in BigQuery, transforming raw data into clean, business-ready models. Design semantic layers using Looker or dbt for consistent business metrics Develop data marts and star schemas optimized for analytics and self-service BI Build APIs and services for data delivery (Cloud Functions, Cloud Run) Partner with analysts, data scientists, and ML engineers to ensure data & AI readiness and support advanced modeling Collaborate with the Data Governance team to embed stewardship, lineage, and metadata into Dataplex and other MDM tooling Support real-time analytics using BigQuery streaming and Pub/Sub as needed. Optimize query performance and cost efficiency in BigQuery Drive adoption of AI/automation by ensuring data models are accessible for predictive and agentic use cases To Land This Opportunity You have 4+ years of experience in data engineering or BI-focused data modeling You have hands-on expertise in BigQuery (partitioning, clustering, performance tuning, cost management) You have strong knowledge of dbt, Looker, and SQL for transformation and semantic modeling You obtain experience with Cloud Functions, Cloud Run, and APIs for data delivery You're familiar with Pub/Sub and BigQuery streaming for real-time use cases You have exposure to ML feature engineering in Vertex AI or similar platforms a plus You have a strong understanding of data governance frameworks, Dataplex, and metadata management You're an all-star communicator and are proficient in English (both written and verbal) You have a quality, high speed internet connection at home About Your Future Team Our IT team's favorite pastimes include corny jokes, bowling, pool, and good pizza. They like vehicles that go really fast, Harry Potter, and coffee…a lot (they'll hear you out on whether Dunkin or Starbucks gets your vote). At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $97,628.20- 131,752.87 which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

About the Team Our team handles the collection, storage, and processing of large datasets from autonomous vehicles and delivery robots. This includes sensor data from cameras, lidars, radars, and other sensors. Scaling reliable storage and providing efficient compute tools is essential for teams working with this data, including ML, simulation, and algorithm development teams. Our data processing involves specialized algorithms similar to those running directly on autonomous vehicles. About the Role We are looking for a Technical Lead to define and build a scalable, user-friendly compute platform for Simulation and ML teams (Perception, Prediction, Planner). You will set the strategic vision for data processing infrastructure, ensuring its scalability, robustness, and alignment with team requirements. You'll make key decisions, prototype solutions, write code, improve frameworks, and provide clear documentation and examples to support adoption. What You'll Do Closely collaborate with internal teams (Simulation and ML, including Perception, Prediction, and Planner) to deeply understand their requirements and use cases. Evaluate, integrate, and enhance open-source (Apache Spark, Ray, Apache Beam, Argo) and internal tools. Prototype, develop, and refine scalable compute solutions by writing code and validating them in practical scenarios. Lead and coordinate infrastructure engineering teams. Define and communicate the technical vision clearly, providing mentorship and creating documentation to support platform adoption. What You'll Need Strong proficiency in Python (required); C++ experience is highly desirable. Hands-on experience with distributed computing frameworks (Apache Spark, Ray, Apache Beam, Apache Airflow, Argo Workflows, Kubernetes). Proven leadership in architecture design and development of data processing infrastructures. Excellent communication and collaboration skills. Nice to Have Understanding of ML/AI and experience building ML pipelines. Experience with sensor data (camera, lidar, radar) from autonomous vehicles or robotics. Experience optimizing costs and performance of distributed computing systems. Candidates are required to be authorized to work in the U.S. The employer is not offering relocation sponsorship, and remote work options are not available.