Analytical Model Developer

3 days ago

Bengaluru, Karnataka, India beBeeDataScientist Full time US$ 90,000 - US$ 1,20,000
Lead Data Scientist

What You'll Do For Us:

  • Own end-to-end discovery, design, configuration, testing and deployment of analytical models and communication with internal and external stakeholders.
  • Identify relevant internal and external data sources. Recommend and oversee appropriate statistical, machine learning and predictive modeling concepts.
  • Apply various machine learning techniques (clustering, regression, ensemble learning, neural nets, time series, optimizations etc.) to real-world problems.
  • Develop and/or optimize models for demand sensing/forecasting, optimization (heuristic, LP, GA etc.), anomaly detection, simulation and stochastic models, market intelligence etc.
  • Use the latest advancements in AI/ML to solve business problems.
  • Examine problems by synthesizing complex information, evaluating alternate methods, and articulating results with relevant assumptions/reasons.
  • Apply common business metrics (forecast accuracy, bias, MAPE) and generate new ones as needed.
  • Develop or optimize modules to call web services for real-time integration with external systems.
  • Collaborate with clients, project management, solution architects, consultants and data engineers to ensure successful delivery of projects.

What You'll Have:

  • Experience: 7+ Years. Experience in time series forecasting in scale using heuristic-based hierarchical best-fit models using algorithms like exponential smoothing, ARIMA, prophet and custom parameter tuning.
  • Experience in applied analytical methods in the field of supply chain and planning, like demand planning, supply planning, market intelligence, optimal assortments/pricing/inventory etc.

Education:

  • Bachelor's Degree in Computer Science, Mathematics, Statistics, Economics, Engineering or related field.

Languages:

  • Python and/or R for Data Science.
  • SQL.

Skills:

  • Deep knowledge of statistical and machine learning algorithms.
  • Building scalable ML frameworks.
  • Identifying and collecting relevant input data.
  • Feature engineering, tuning and testing.

Characteristics:

  • Strong presentation and communications skills.
Benefits
  • Competitive salary.
  • Tech tools: Complementary PC laptop.
  • Flexibility: Work from home two days a week.
  • Social activities like Social Fridays.
  • Flat organization with strong entrepreneurial culture.
  • Support network: Work with a team you can learn from.
  • Diversity: International working environment.

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