Data Scientist - Marketing Analytics

Data Scientist - Marketing Analytics

 

Location: Austin, Texas

Type: Full-time

Department: Technology

 

Job Summary

We are seeking a Data Scientist / Data Analyst with strong expertise in time series forecasting and marketing analytics to join our team. In this role, you will deliver data-driven insights and forecasting solutions that directly influence marketing performance and business strategy.

You will be responsible for consolidating data from multiple sources, developing robust forecasting models, automating Python-based workflows, and building dashboards that enable informed decision-making. 

Responsibilities

• Data Consolidation & Management
  • Collect, clean, and consolidate data from multiple internal and external sources (CRM, marketing platforms, sales systems, web analytics, etc.).
  • Ensure data integrity, consistency, and documentation of data pipelines.
  • Design and maintain scalable data models for forecasting and reporting.
• Time Series Forecasting
  • Develop and deploy advanced time series forecasting models for marketing performance, revenue, demand, and campaign effectiveness.
  • Apply statistical and machine learning techniques (ARIMA/SARIMA, Prophet, XGBoost, LSTM, etc.).
  • Perform back-testing, validation, and performance monitoring of forecasting models.
  • Incorporate seasonality, trends, promotions, and external drivers into models.
• Marketing Analytics
  • Analyze marketing performance metrics including CAC, ROI, conversion rates, attribution, and campaign effectiveness.
  • Conduct scenario analysis and budget forecasting.
  • Provide actionable insights to improve marketing efficiency and growth.
• Automation & Workflow Optimization
  • Build and maintain automated data pipelines and forecasting workflows using Python.
  • Schedule and monitor automated jobs.
  • Optimize code for scalability and performance.
• Dashboarding & Reporting
  • Develop interactive dashboards and visualizations to communicate forecasts and marketing performance.
  • Translate complex analytics into clear business insights for stakeholders.
  • Support executive-level reporting with data-driven recommendations.
• Stakeholder Collaboration
  • Work closely with client stakeholders including marketing, finance, and strategy teams.
  • Present findings and recommendations in a clear, business-friendly manner.
  • Operate effectively within a vendor-client engagement model.

Eligibility Requirements

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Economics, Engineering, or a related field.
• 3+ years of experience in data science, analytics, or a related role.
• Strong expertise in time series forecasting techniques and statistical modeling.
• Proven experience in marketing analytics and performance measurement.
• Advanced proficiency in Python (Pandas, NumPy, Scikit-learn, Statsmodels, etc.).
• Experience building automated workflows and reusable data pipelines.
• Strong SQL skills and experience working with relational databases.
• Experience with data visualization tools (Power BI).
• Excellent problem-solving and communication skills.
• Analytical and quantitative mindset
• Strong attention to detail and data quality
• Ability to translate technical insights into business recommendations
• Strong stakeholder management skills
• Valid work authorization status in the US 

In the US, the target base salary for this role is up to $150,000. Compensation is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. We expect the majority of candidates who are offered roles at our company to fall throughout the range based on these factors.

How to Apply

• Click "Apply Now" to submit your resume through our career site
• Be sure to include any relevant experience that aligns with the role.
• Qualified candidates will be contacted by a member of our recruitment team for next steps

About eClerx

eClerx is a leading provider of productized services, bringing together people, technology and domain expertise to amplify business result