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Data Scientist

solvedNew York, NYMay 11th, 2026
About the Job: As a Data Scientist, you will drive business growth through data-driven insights, applying advanced analytics and machine learning techniques. Integrating diverse data sources, you'll uncover customer trends, optimize strategies, and present actionable findings to stakeholders. This role combines quantitative expertise with strategic thinking.A Day in the Life: Provide actionable business and marketing insights to stakeholders through analysis, research, and modeling.Integrate internal and external data sources, leveraging structured and unstructured data expertise.Apply advanced quantitative methods to segment customers and healthcare practitioners, evaluating effectiveness and efficiency.Maintain and enhance statistical models using open-source coding (R/Python) and machine learning techniques.Analyze trends and customer behavior through multi-channel analysis and real-time data flows.Translate complex analytics into strategic recommendations, maximizing ROI and informing business decisions.What you will need: Bachelor's degree in Mathematics, Statistics, Economics, Computer Science, Engineering, or related natural sciences (Master's preferred).2+ years of experience in open-source programming, applied statistics, machine learning, and relational database management.Proficiency in R or Python and SQL, with hands-on experience in relational databases.Strong background in statistical and machine learning techniques, with ability to apply them effectively.Ability to work collaboratively, drive projects forward, and manage multiple projects simultaneously.Strong interest in marketing, advertising, and healthcare industries, with eagerness to learn and adapt.Effective problem-solving, code documentation, and data wrangling/cleaning skills.Salary$68,000 - $90,000 annually.The salary range for this position is noted within this job posting. Where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the subject position; market considerations; budgetary considerations; tenure and standing with the company (applicable to current employees); as well as the employee’s/applicant’s background, pertinent experience, and qualifications.About Solve(d)https://solved.healthSOLVE(D) was born from creative agency DNA and built on the premise of using the right combination of data, analytics, technology, and media to help deliver personalized, relevant omnichannel experiences across touchpoints that drive meaningful connections between brands and audiences (HCPs, Patients, Payers). SOLVE(D) is a multifaceted solutions partner - part consultancy, part data, part advanced analytics, part marketing technology company, part media agency - that fosters speed, precision, and growth. SOLVE(D)’s diverse team of consultants, specialists and practitioners apply their collective strength, leveraging the right mix of human and technical enablers, to empower brands to make confident decisions that accelerate business impact and growth.

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