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Helping sales teams find their ideal buyers and convert them into customers.
Apollo.io is the leading go-to-market solution for revenue teams, trusted by over 500,000 companies and millions of users globally, from rapidly growing startups to some of the world's largest enterprises. Founded in 2015, the company is one of the fastest growing companies in SaaS, raising approximately $250 million to date and valued at $1.6 billion. Apollo.io provides sales and marketing teams with easy access to verified contact data for over 210 million B2B contacts and 35 million companies worldwide, along with tools to engage and convert these contacts in one unified platform. By helping revenue professionals find the most accurate contact information and automating the outreach process, Apollo.io turns prospects into customers. Apollo raised a series D in 2023 and is backed by top-tier investors, including Sequoia Capital, Bain Capital Ventures, and more, and counts the former President and COO of Hubspot, JD Sherman, among its board members. Position Overview: We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing products while also supporting early-stage product initiatives where relevant. You will work closely with cross-functional teams to drive product innovation and optimization through data-driven insights. This position requires a passion for transforming data into actionable insights and the ability to thrive in a fast-paced environment. What You’ll Do: - Translate business needs into data analysis and actionable insights to optimize product performance and user experience for both existing and new products. - Work closely with product managers, engineers, and other cross-functional stakeholders to identify critical product questions and provide data-driven solutions. - Develop and maintain a scalable, reliable, and accurate analytics infrastructure to support product decisions. - Establish and maintain best practices for data collection, analysis, and reporting. - Deliver actionable insights and recommendations focused on landing tangible product impact. - Help foster a culture of data-driven decision-making and continuous improvement within the product teams. - Ensure the integrity and accuracy of the data used for analysis and reporting. - While the primary focus is on existing products, support 0 to 1 product launches by identifying key metrics and analyzing early-stage product data when applicable. What You Bring: - Strong experience in product analytics or a similar data-focused role, with a proven ability to impact product strategy and decision-making through data. - Expertise in translating complex data into insights that are actionable for cross-functional teams. - Proficiency with data analytics tools and platforms (e.g., Looker, Amplitude) is a plus but not required. A focus on solving product challenges is more important than specific tool experience. - Experience in building and maintaining reliable analytics infrastructures. - Excellent communication skills, with the ability to clearly present data insights to both technical and non-technical stakeholders. - Experience with 0 to 1 product initiatives is a plus, though not required. - A high level of accountability, a passion for continuous learning, and the ability to thrive in a fast-paced, dynamic environment. Qualifications: - Degree in Analytics, Applied Mathematics, Economics, Statistics, or related analytical field of study, or an equivalent combination of training and experience. - Deep experience in working with exploratory analysis projects related to cohorting, time series analysis, and funnel analysis/optimization is required. - Expert-level proficiency in influencing product strategy with SQL, A/B testing, machine learning, statistical analysis, and related tools like R, Python, SAS, etc., is required. - Previous or current experience supporting SaaS (Product-Led Growth) companies with uncovering gaps and recalibrating activation metrics (e.g., aha/habit moments) is a huge plus. - Experience with Product Analytics tools to track end-to-end journeys/funnels (e.g., Amplitude, Heap, Mixpanel) and analyzing events within those products is essential. - Proven ability to thrive in a fast-paced, dynamic startup environment with a high level of adaptability and a strong product sense, ensuring insights align with customer needs and product goals. The listed Pay Range reflects the total cash compensation inclusive of annual base salary and annual bonus as applicable. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonus target and annual base salary for the role. This salary range may be inclusive of several career levels at Apollo and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role who are not located in the US may request the annual salary range for their location during the interview process. Additional benefits for this role may include: equity; company bonus or sales commissions/bonuses; 401(k) plan; at least 10 paid holidays per year, flex PTO, and parental leave; employee assistance program and wellbeing benefits; global travel coverage; life/AD&D/STD/LTD insurance; FSA/HSA and medical, dental, and vision benefits. Tier 1 Pay Range (San Francisco, New York City, Seattle) $236,000—$295,000 USD Tier 2 Pay Range (All other US Locations) $205,200—$256,500 USD We are AI NativeApollo.io is an AI-native company built on a culture of continuous improvement. We’re on the front lines of driving productivity for our customers—and we expect the same mindset from our team. If you're energized by finding smarter, faster ways to get things done using AI and automation, you'll thrive here. Why You’ll Love Working at ApolloAt Apollo, we’re driven by a shared mission: to help our customers unlock their full revenue potential. That’s why we take extreme ownership of our work, move with focus and urgency, and learn voraciously to stay ahead. We invest deeply in your growth, ensuring you have the resources, support, and autonomy to own your role and make a real impact. Collaboration is at our core—we’re all for one, meaning you’ll have a team across departments ready to help you succeed. We encourage bold ideas and courageous action, giving you the freedom to experiment, take smart risks, and drive big wins. If you’re looking for a place where your work matters, where you can push boundaries, and where your career can thrive—Apollo is the place for you. Learn more here!
DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
Role Description The Senior Data Scientist is a highly skilled individual contributor responsible for leading advanced statistical and machine learning initiatives to solve complex business challenges using large-scale healthcare data. This role owns the end-to-end analytical process, including designing modeling approaches, developing and validating models, and translating business questions into technical solutions. The Senior Data Scientist partners closely with data engineering and cross-functional teams to operationalize models and ensure their performance and scalability in production environments. Success in this role requires strong technical judgment, the ability to communicate insights to diverse stakeholders, and a commitment to analytical rigor and reproducibility. The Senior Data Scientist is a full-time, remote, exempt position and reports to the Sr. Director, Data Science & Advanced Analytics. Qualifications - 4–7 years of experience building statistical or machine learning models using large datasets - Advanced degree in Computer Science, Engineering or relevant field; PhD in Data Science or another quantitative field is preferred. Requirements - Lead the development, validation, and refinement of advanced statistical and machine learning models for complex business problems. - Serve as the primary analytical owner for assigned initiatives, with accountability for model quality, analytical rigor, and timely delivery of results. - Design analytical approaches and modeling strategies, translating business questions into well-defined technical solutions. - Perform advanced feature engineering, exploratory data analysis, and model evaluation using large, complex healthcare datasets. - Partner with Data Engineering and Information Systems teams to translate modeling approaches into production-ready solutions, while engineering teams own deployment and operations. - Support production models through performance analysis, monitoring, and retraining activities. - Design and execute experiments to test hypotheses and measure the impact of analytical solutions. - Evaluate new data sources and assess their suitability, quality, and limitations for modeling and analysis. - Communicate analytical findings, model behavior, and key assumptions to stakeholders with varying levels of technical expertise. - Document analytical methods, decisions, and results to support reproducibility and knowledge sharing. - Provide peer-level technical guidance and code review to Data Scientists and Analysts, supporting their development without formal leadership responsibility. - Contribute reusable code, features, and analytical assets to shared repositories and team standards. Benefits - Competitive compensation - Comprehensive benefits package for full-time employees, including medical, dental, and vision coverage - 401(k) with company contributions and matching - Paid parental leave - Tuition assistance - Generous paid time off - Commitment to investing in our people and supporting professional growth over time Company Description DataSpring is the trusted data connector at the core of healthcare. For more than 25 years, we have powered the industry with the largest and most complete healthcare data foundation in the U.S., including more than 4.8 million provider data records sourced directly from providers and member data representing 75% of covered lives supplied by health plans. By improving how essential information flows across the system, DataSpring helps healthcare operate more efficiently, accurately, and with greater confidence.
- Design, develop, and deploy **time-series forecasting models** including ARIMA, SARIMA, and ETS - Build **machine-learning-based forecasting models** using GBM, Random Forest, XGBoost, and LightGBM - Develop **hierarchical and multi-level forecasting** solutions across products, regions, and channels - Perform large-scale data extraction, transformation, and analysis using **SQL** - Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements. - Translate business problems into analytical solutions. - Present model insights and recommendations to senior client stakeholders. - Lead workshops and forecasting strategy discussions with clients. - Implement and operationalize models in cloud environments - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Tiger Analytics is a fast-growing advanced analytics consulting firm, recognized as a trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data.
Role Description Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across: - demand planning - inventory optimization - replenishment - logistics - sales forecasting - supply chain operations You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations. Key Responsibilities - Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS - Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM - Develop hierarchical and multi-level forecasting solutions across products, regions, and channels - Perform large-scale data extraction, transformation, and analysis using SQL - Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements - Translate business problems into analytical solutions - Present model insights and recommendations to senior client stakeholders - Lead workshops and forecasting strategy discussions with clients - Implement and operationalize models in cloud environments - Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions Qualifications - 10+ years of experience in applied data science or advanced analytics - 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting - Strong domain experience in CPG, FMCG, retail, or similar industries - Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) - Strong SQL skills for large-scale data processing - Proven experience deploying models in cloud environments (Azure preferred) Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Company Description Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
• Own end-to-end scalable machine learning models for risk assessment, forecasting, anomaly detection, customer clustering, natural language processing and other key finance initiatives. • Apply large language models (LLMs) to create Gen-AI applications leveraging such as chatbots and intelligent agents to support & streamline finance operations. • Partner with the strategic finance teams to enhance their financial forecasting methods and support data-driven decision-making. • Analyze complex datasets of structured & unstructured data using advanced analytics to generate actionable insights; communicate findings through impactful reports and presentations. • Establish best practices for data science, opportunity to mentor junior analysts and contribute to the team's professional growth. • Collaborate with stakeholders, data scientists and MLEs across various business groups to develop impactful solutions.
CrowdStrike is an award-winning, global provider of cloud-delivered security technology, threat intelligence, and next-generation endpoint protection. Founded i
As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. About the Role: We are seeking a Lead Enterprise Data Scientist that will play a key role in developing and deploying AI-driven insights and predictive analytics across our enterprise business applications. This role will focus on creating, maintaining, and delivering high-impact data science solutions critical to business functions, including Sales, Marketing, Customer Success, and Go-to-Market (GTM) Operations. The successful candidate will also mentor other data scientists and collaborate closely with leaders throughout the organization. What You'll Do: - Lead the development of predictive models, advanced analytics, and automation solutions that improve forecasting, retention, financial planning, and operational performance. - Help mentor and develop other data scientists, fostering collaboration, innovation, and delivery excellence. - Partner with business leaders across the enterprise to define priorities, shape data-driven strategies, and align analytics initiatives with organizational objectives. - Work with enterprise data from Snowflake and other Data Lake solutions to ensure data is effectively extracted, transformed, and applied to key business initiatives. - Drive the creation of impactful dashboards and visualizations in Tableau, ensuring insights are accessible and actionable for executives and functional leaders. - Present findings, trends, and predictive model outcomes to senior stakeholders, translating complex analytics into clear recommendations. - Champion data governance, quality, and compliance standards in analytics and reporting. - Stay current with trends in AI, ML, and business analytics, identifying opportunities for innovation and automation across the organization. What You'll Need: - 7+ years of experience in data science, predictive analytics, and AI. - Proven track record of balancing technical excellence with business impact. - Expertise in Python, R, or SQL for data manipulation, statistical modeling, and machine learning. - Hands-on experience with Snowflake or other cloud-based Data Lake solutions for enterprise data processing. - Strong proficiency in Tableau (preferred BI tool) for data visualization and reporting. - Demonstrated ability to communicate complex findings to executive leadership and business stakeholders in a clear, actionable manner. - Experience partnering with multiple business units (Sales, Finance, Customer Success, Operations) to drive analytics adoption and strategy. - Strong understanding of business KPIs, forecasting methods, customer segmentation, and operational analytics. - Ability to oversee large-scale enterprise data initiatives while ensuring scalability, efficiency, and security. - Excellent storytelling and communication skills, with the ability to align data science strategy to enterprise objectives. Bonus Points: - Familiarity with cloud platforms (AWS, GCP, Azure) for AI/ML deployments. - Experience in building key GTM ML models including MTA, predictive bookings, next best product, and churn predictions. - Strong understanding of data governance, compliance, and regulatory reporting. - Experience managing analytics functions in B2B SaaS, Financial Services, or Enterprise Applications. #LI-CS1 #LI-Remote Benefits of Working at CrowdStrike: - Market leader in compensation and equity awards - Comprehensive physical and mental wellness programs - Competitive vacation and holidays for recharge - Paid parental and adoption leaves - Professional development opportunities for all employees regardless of level or role - Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections - Vibrant office culture with world class amenities - Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $125,000 - $180,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.For detailed information about the U.S. benefits package, please click here. Expected Close Date of Job Posting is:08-12-2026
We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations, and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability, and omni-channel delivery. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and 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, or disability status.
Role Description Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re sitting in a pivotal time in the BenchPrep history. The number of learners on our cloud-based learning platform has reached nearly 11 million as of 2024. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and 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, or disability status. At BenchPrep, we pride ourselves on offering a great total rewards package to each employee, including a competitive base salary. The salary range for this position is between $65,000-$85,000, and is set based on Chicago market data.
Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
Role Description Citizens Financial Group, Inc. (CFG) seeks a Senior Data Scientist for its Boston, Massachusetts location. - Analyze credit risk valuation models, correlations, concentrations, rating migrations, and risk contributions. - Develop econometric models built on a solid conceptual foundation that supports business needs. - Work with business line partners in embedding and socializing econometric models and support with ongoing requests. - Analyze commercial lending portfolios to review trends that support applications models. - Explore large data sets using advanced statistical and modeling tools and pull datasets directly from source systems. - Work with appropriate parties to resolve or remediate data quality issues. - Maintain, review, and adhere to organization’s credit policy. - Conduct constant monitoring and validation of underlying credit theories and methodologies. - Support implementation of developed models, including third-party vendor solution tools for credit risk and other applications. - Participate in peer review sessions and maintain awareness of new advances in credit risk modeling techniques to ensure the application of best practices to CFG credit risk models. - Maintain technical documentation of developed models and model implementations. - Troubleshoot implemented models in both internal and third-party vendor solutions. Qualifications - Master’s degree in Physics, Data Analytics, or related quantitative field. - Two (2) years of experience in the role or in a related position. Requirements - Utilizing relational databases, statistical analysis programming languages, and software, including SAS Enterprise Guide, SQL, R, Stata, AWS RedShift, and Python, to extract high volume and complex data from external databases, including Oracle. - Performing exploratory data analysis in Datalake using Python & R. - Developing predictive models by implementing data analysis and research, including time series analysis, regression analysis, categorical analysis, machine learning methods, advanced econometric techniques related to panel data analysis, and data imputation. - Utilizing the underlying mathematical principles behind statistical methods to evaluate and interpret the results of predictive models in a reasonable manner. - Utilizing advanced statistical programming and visualization software, including SAS, Python, R, to create complex reports and graphs. - Building back testing and benchmarking tools to monitor model performance in accordance with established ALM policy. - Implementing complex computational methods and models using R, SAS, and Python. - Standardizing, harmonizing, cleaning, preparing, and using data for developing datasets, reporting, and analysis. - Utilizing SQL Tools including Oracle and SQLite. - Building pilot solutions and performing proof of concept for business problems using technologies including Graph Databases. - Utilizing distributed computing and cloud software, including Amazon Web Services and Sage Maker. - Utilizing version control tools, including Git, to develop reproducible code. - Utilizing Command line interface and Shell Scripting languages to optimize workflows. - Utilizing Package Version management software, including Anaconda. - Utilizing IDEs, including VS Code, RStudio, Jupyter, and JupyterLab. - Utilizing Documentation tools, including LATEX and RMarkdown. Benefits - May telecommute from any U.S. location. - Worksite: 28 State Street, Boston, Massachusetts 02109, United States, 40 hrs/wk. - Salary Range: $156,000 - $194,000/yr.
Striveworks is a software development company that has created a platform to rework “the data analytic process as high-level code.” As an employer, the company desires to creat
Role Description As a Data Scientist at Striveworks, you’ll be challenged—and trusted—on day one to be a core contributor to the projects, products, and direction of the company. You will represent Striveworks as a technology builder on projects and solutions that leverage Chariot, our proprietary AI operations (AIOps) platform, and you will inform and contribute to future capabilities of that platform. You will work as part of a team of data scientists, machine learning engineers, software engineers, and DevOps engineers to transform machine learning models into functional products. You’re right for this opportunity if you value and possess technical expertise and enjoy pushing the boundaries of your own capabilities. You’re outcome driven and are passionate about applying both software and data science to solve real-world problems. You know that being customer focused, rigorous in approach, clear in communication, and able to identify repeatable value opportunities are all critical to success. You are able to sense the needs of the customer, identify evolving demands, and then synthesize that feedback into actionable suggestions for Striveworks’ product teams. Your day-to-day will include: - Developing and validating machine learning models and custom analytic algorithms that are applied to image, video, text, geospatial, time series, and structured data - Implementing AI-based software solutions for cloud and edge environments - Conducting mission-critical fieldwork in support of customers and other stakeholders This position offers a fully remote work environment, or you can work hybrid/on site at customer locations at Joint Base Lewis–McChord in Tacoma, WA. If remote, you will be expected to travel up to 30% of the time. If local, you will be expected to travel up to 25% of the time. Qualifications - BS degree in computer science, machine learning, mathematics, or a related discipline and 2+ years of relevant experience - Proficiency in machine learning and data science and in applying both to image and video data - Proficiency in implementing and analyzing data structures and algorithms - Proficiency in programming languages and libraries common to machine learning; excellence in Python is essential, as is knowledge of libraries like TensorFlow, PyTorch, and/or scikit-learn - Exposure to software development life cycle and tools (e.g., Git, Agile) - Active Secret (or above) US security clearance - Due to the nature of this role, candidates must have US citizenship Requirements - An advanced degree (e.g., MS, MEng, PhD) in computer science, machine learning, mathematics, or a related discipline - Experience deploying machine learning and data science, and applying both to production environments - Exposure to DevOps and Cloud infrastructure (e.g., Docker, Kubernetes, CI/CD, major cloud providers) - Experience processing a variety of unstructured data types (e.g., imagery, full-motion video, text, acoustic, sonar, RF, geospatial, graphs, telemetry signals) - Experience building AI agents and agentic workflows - Experience implementing ETL pipelines, data pipelines, and/or workflow automation - Experience developing software in a compiled programming language (e.g., Go, Rust, C++, Java) - Experience building full-stack applications (i.e., back end, front end, REST) - Experience delivering technology solutions in secure government environments - Experience working with federal, state, and/or local government customers Benefits - Medical/dental/vision insurance - Voluntary life, long-term disability, accident, and hospital indemnity insurance - HSA and FSA (including dependent care FSA) plans - 401(k) plan - Unlimited PTO - Paid parental leave
Role Description As a(n) Principal Data Sciences at Gainwell, you can contribute your skills as we harness the power of technologies to help improve the health and well-being of the members they serve - the communities most vulnerable. Connect your passion with purpose, teaming with people who thrive on finding innovative solutions to some of healthcare’s biggest challenges. - Designs, develops, programs methods, processes and systems to consolidate and analyze unstructured, diverse big data sources using machine learning and predictive modeling tools. - Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements. - Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. - Determines the right modeling methodology to the use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights. - Champions global initiatives in data sciences- like building new centers of excellence (by domain or technology); acts as leading subject matter expert providing guidance and long term vision. - Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems. Qualifications - 6+ years of relevant experience in statistics and machine learning. - Extensive knowledge of data science methodologies including but not limited to supervised machine learning, unsupervised machine learning, and generative AI applications. - Experience with writing SQL to query multi-dimensional and/or relational databases. - Experience in developing machine learning and AI solutions using python. - Experience with data cleansing, validation, and general quality control principles. Requirements - Fully Remote Opportunity – Work from anywhere in the U.S. - Minimal Travel Required – Occasional travel opportunities (0-10%). - Opportunity to Work on Cutting-Edge AI Solutions in a mission-driven healthcare technology environment. - Video cameras must be used during all interviews, as well as during the initial week of orientation. Benefits - Generous, flexible vacation policy. - 401(k) employer match. - Comprehensive health benefits. - Educational assistance. - A variety of leadership and technical development academies to help build your skills and capabilities.
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Python, AI/ML, SQL, Pandas, Observability/Monitoring, Azure
