Senior Data Scientist, Digital - job 2 of 2

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist, Digital in the United States.

We are seeking a Senior Data Scientist, Digital to drive advanced analytics solutions that shape marketing strategies and enhance decision-making. In this role, you will collaborate with cross-functional teams to design, develop, and deploy predictive and prescriptive models that improve media performance, customer engagement, and marketing effectiveness. You will leverage large-scale, multi-source datasets and modern data science techniques to deliver actionable insights, build scalable tools, and support a forward-thinking digital marketing environment. The ideal candidate combines technical expertise with business acumen, a curiosity-driven mindset, and a passion for innovative, data-driven solutions.

Accountabilities

• Collaborate with cross-functional teams to implement high-impact, data-driven solutions for marketing and digital channels.
• Develop, deploy, and monitor predictive and prescriptive models using site, clickstream, and media measurement data.
• Preprocess and analyze large, multi-source datasets, applying advanced statistical and machine learning methods.
• Translate complex analyses into actionable insights and communicate results through clear, data-driven storytelling tailored to diverse audiences.
• Contribute to the design and scaling of analytics-driven tools that support marketing strategies and decision-making.
• Suggest and implement experimentation to optimize campaign performance and marketing ROI.
• Ensure solutions meet performance, scalability, and quality standards while enabling continuous improvement.

• BA/BS in Marketing, Business, Statistics, Computer Science, Economics, or a related field.
• 5+ years of experience as a data scientist or related role, developing, deploying, and monitoring large analytic datasets and machine learning models.
• 2+ years experience with site/clickstream measurement, A/B testing, and marketing media platforms.
• Strong statistical knowledge and expertise in selecting appropriate modeling techniques.
• Proficiency in Python or R for modeling, SQL/Spark for data handling, and experience with Pandas, StatsModels, TensorFlow, PyTorch, sklearn, and NumPy.
• Excellent analytical, problem-solving, and communication skills.
• Ability to manage multiple tasks and projects simultaneously without compromising quality.
  Preferred Qualifications:
• Master’s or Ph.D. in Marketing Science, Econometrics, Statistics, Applied Mathematics, or related quantitative field.
• Experience with cloud computing platforms, especially Azure and Databricks.
• Familiarity with advanced methods such as media mix modeling, multi-touch attribution, hierarchical Bayesian models, time-series forecasting, and structural equation modeling.
• Prior experience in paid, earned, and owned media analytics.

• Competitive salary: $125,000 – $205,100 USD.
• Incentive pay program based on company performance, role, and individual contribution.
• Comprehensive health, dental, vision, and life insurance coverage.
• Retirement savings plans and tuition assistance programs.
• Paid vacation, holidays, and sick leave.
• Employee assistance, wellness programs, and professional development opportunities.
• Remote-friendly work with hybrid options depending on location.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

#LI-CL1