Senior Data Scientist with MMM

4 weeks ago


San Jose CA, United States Diverse Lynx Full time

Role : Senior Data Scientist with MMM

Work Location : San Jose, CA- Onsite from day 1

Experience : 8+ yrs Exp.

Duration: 12+ Months

Technical Skills

  • Machine Learning : SciPy, Sckit-learn, Pandas
  • T echnique : Hyperparameter Tuning, Imbalanced Data, Ensemble Learning, Boosting
  • Algo : SVG, XGBoost, KNN, Clustering, Views, MassTer, Stata etc
  • Natural Language Processing : LLM familiarity (BERT), Neural Networks (LSTM)
  • Big Data Experience : Cloud Services (GCP, Microsoft Azure, AWS)
  • Expert knowledge on Time series Forecasting, Python Libraries
  • 6+ years of experience in MMM, measurement, A/B testing, marketing strategy & analytics
  • Proficient coding skills (Python/SQL) and database knowledge
  • Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
  • Proficient in SQL and Python Libraries (Tensor Flow, Keras, PyTorch

Domain Knowledge Candidate need to have extensively exposure and hands-on knowledge on Market Mix Modelling (MMM) and should possess strong Marketing Domain Knowledge.

Responsibilities

  • Conducting the appropriate analytics techniques on available data. This will focus on Market Mix Modelling but will also include a wider range of techniques such as portfolio management and digital analytics.
  • Deriving meaningful insights from the results of a project
  • Running and delivering practical and implementable media optimization scenarios supporting the decision-making process for the planning teams
  • Communicating results to internal teams, and establishing buy-in of recommendations
  • Working within a team of 10-13 people across different Team to ensure project deliverables are produced on time.
  • This is a hands-on role: Collecting data from relevant sources, checking for accuracy and formatting for analytics
  • Developing strong working relationship with the account planning teams and foster a culture of information sharing
  • Showcase Media Mix Modelling and its benefits to planning teams to create agency wide awareness
  • Learning, implementing optimization tools in cooperation with the wider data science team
  • Build and enhance media mix models to connect the impact of marketing drivers and business short-term and long-term outcomes
  • Develop optimization and simulation algorithms to guide the marketing investment and allocation recommendations to stakeholders
  • Scale current Python modeling algorithm through parallel processing or other efficiency enhancement
  • Design and execute A/B test and other experiments
  • Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
  • Partner with cross-functional team to streamline data science solutions
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