Job Title: Senior Data Scientist Product & Marketing Analytics
Job Description:
Do you thrive on turning complex data into actionable insights? Are you passionate about influencing product, marketing, and business strategy through data? We re looking for a Senior Data Scientist to join a high-impact team focused on driving top-of-funnel growth for a suite of digital service offerings.
This role sits at the intersection of data science, product strategy, marketing analytics, and customer insights. You will work cross-functionally with Product, Marketing, Sales, Customer Success, Engineering, and Finance teams to uncover new opportunities and implement scalable data-driven solutions that accelerate business growth.
Key Responsibilities:
Collaborative Problem Solving: Work closely with stakeholders to identify business problems, formulate hypotheses, and scope data science projects with measurable ROI.
Analytics & Business Insights: Analyze large-scale datasets to extract insights that influence product development, marketing campaigns, customer segmentation, and strategic planning.
Experimentation & Testing: Design and evaluate A/B tests and multivariate experiments to measure the impact of new features and marketing initiatives.
Predictive Modeling: Develop and deploy machine learning models and statistical algorithms to support personalization, targeting, and optimization strategies.
Data Visualization & Storytelling: Create intuitive dashboards and reports to track performance metrics and effectively communicate findings to technical and non-technical stakeholders.
Data Infrastructure & Quality: Partner with data engineering teams to improve data pipelines, define tracking requirements, and ensure high data integrity.
Best Practices & Standards: Promote reproducibility, rigorous testing, and high code quality across the data science organization.
Qualifications:
5 7 years of experience in data science, analytics, or quantitative roles within tech, fintech, SaaS, or digital marketing domains.
Proficient in SQL and Python with experience using libraries such as pandas, scikit-learn, statsmodels.
Strong statistical background, including A/B testing, causal inference, regression, and uplift modeling.
Experience with marketing analytics, funnel optimization, or growth experimentation is a plus.
Skilled in data visualization using Tableau, Looker, or similar tools.
Proven ability to communicate technical results to executive and non-technical audiences.
Bachelor's degree in a quantitative field required; Master's or Ph.D. in Data Science, Statistics, Computer Science, Economics, or related discipline preferred.
Comfortable working in cross-functional, matrixed environments.
data science, senior data scientist, product analytics, marketing analytics, A/B testing, SQL, Python, machine learning, data visualization, predictive modeling, business insights, growth marketing, causal inference, SaaS, fintech, customer segmentation, uplift modeling, funnel optimization, dashboarding, experimentation, data storytelling, pandas, scikit-learn, Tableau, Looker, digital marketing, quantitative analysis, remote data science job
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