• Business & Marketing Data Scientist (III)

    US Tech Solutions (Sunnyvale, CA)


    Overview:

    We are seeking a highly analytical and business-savvy Marketing Data Scientist to join our team. In this role, you will leverage advanced analytics, statistical modeling, and machine learning to uncover insights, optimize marketing campaigns, and drive data-informed decision-making. You will work closely with marketing, product, and sales teams to measure performance, predict customer behavior, and improve return on investment (ROI).

    Key Responsibilities:

    + **Data Analysis & Insights**

    + Collect, clean, and analyze large-scale marketing and customer datasets.

    + Identify trends, customer segments, and behavioral patterns that inform marketing strategies.

    + Translate complex data into actionable insights for business stakeholders.

    + **Modeling & Forecasting**

    + Develop predictive and propensity models (e.g., customer acquisition, churn, lifetime value).

    + Use machine learning and statistical techniques to optimize campaign targeting and personalization.

    + Build marketing mix models (MMM) and attribution frameworks to assess channel effectiveness.

    + **Experimentation & Measurement**

    + Design and analyze A/B tests and multi-variant experiments to measure campaign impact.

    + Establish KPIs, dashboards, and reporting frameworks to monitor marketing performance.

    + Partner with marketing teams to measure ROI of campaigns and initiatives.

    + **Collaboration & Strategy**

    + Work cross-functionally with marketing, product, data engineering, and finance teams.

    + Present findings and recommendations to senior stakeholders in clear, compelling narratives.

    + Provide data-driven support for go-to-market strategies, budget allocation, and customer engagement initiatives.

    Qualifications:

    + Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Economics, Marketing Analytics, or related field.

    + 3–5+ years of experience in data science, marketing analytics, or a similar role.

    + Strong proficiency in **SQL** and programming languages such as **Python or R** .

    + Experience with data visualization tools (e.g., Tableau, Looker, Power BI).

    + Solid understanding of marketing principles, digital advertising, and customer lifecycle management.

    + Hands-on experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).

    + Strong communication skills with the ability to simplify complex data into clear business insights.

    + Familiarity with cloud data platforms (e.g., Google BigQuery, AWS Redshift, Snowflake) is a plus.

    Preferred Skills (Nice-to-Have):

    + Experience with marketing attribution models, MMM, or incrementality testing.

    + Knowledge of web analytics tools (e.g., Google Analytics, Adobe Analytics).

    + Familiarity with CRM and marketing automation platforms (e.g., Salesforce, HubSpot, Marketo).

    + Previous experience in a tech, e-commerce, or advertising environment.