Data Scientist

1 week ago


Los Angeles, United States Tentek Full time

Major Responsibilities Include

Leading customer discussions for discovery of requirements, definition of problem statement, and recommendation of solutions Leveraging time series analysis for trend identification, seasonality adjustments, pricing and yield optimization, and ROI forecasting in advertising. Analyzing and translating business needs into long-term solution data models, utilizing code for analyzing data, and building statistical, optimization, and ML models. Applying combinatorial optimization research & advanced time series forecasting techniques to build, test, evaluate machine learning models Using combinatorial optimization for building recommendation algorithms Supporting decision-making by developing analytic capabilities, platforms, pipelines, and using them to analyze trends and find root causes of model inaccuracy.

Minimum Qualifications

8+ years of experience working in the Data Science field with Time Series Forecasting, Pricing Optimization, and Operations Research problems, conducting hands-on data exploration and analysis, building, deploying and evaluating ML models for production and commercial applications Prior commercial experience working with Supply Chain, Yield Optimization, Demand Forecasting, especially in translating optimization and scheduling algorithms into tangible actions for creating, distributing, and placing ads. Proven expertise in the areas of Operations Research, Greedy Heuristics, and Combinatorial Optimization techniques related to Integer Programming and Mixed Integer Programming, and the ability to prototype and solve “knapsack” problems effectively . Experience with optimization libraries such as Gurobi, Pyomo, Pulp, or Cplex. Knowledge of greedy heuristics and their application in rapid decision-making scenarios within advertising. Proficient with Amazon SageMaker and Retrieval Augmented Generation. Familiarity with TV/Linear Advertising space, Ad Campaign Managers (Hulu, Facebook,Google, etc), Media Planning, Publishing/M&E domain, measurement providers and alternative currencies in linear and addressable (e.g. Nielsen, Commscore, iSpot, Samba, EDO, Wideorbit, Mediaocean, etc). Experience in Media Mix Modeling (MMM) and Targeted Advertising. Ability to harness machine learning algorithms, particularly in targeting specific audiences, enhancing the impact of advertising campaigns. Data Visualization: Provide insights: and show patterns, trends, or correlations in a single plot. The ability to produce dynamic and interactive data visualizations is a plus. Experience leading customer discovery, business requirements and solution design discussions, and managing executive, business and technical stakeholder relationships Demonstrated expertise in using commercial and open-source solvers, advanced time series analysis and forecasting techniques, including deep learning models, decision tree-based models, ARIMA, Prophet, LSTM / CNN / RNN, etc. Proficient in Python, Scala, SQL, tools for Data analysis (NumPy / SciPy / scikit-learn / pandas / matplotlib), demonstrating best practices for data coding to ensure consistency and readiness for production deployment. Statistics and Applied Math, Computer Science, Operations Research (OR). English Fluency

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