Data Scientist - Marketing Analytics

eClerx•Austin, TX

4h•$150,000

About The Position

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.

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

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.