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Lead Data Scientist

o9 Solutions
Bengaluru, IND
Full-time
Lead · 5+ years experience
Onsite
Discovered 2 weeks ago
hadoophivekeraspythonpytorchspark

Full Job Posting

Skills:

  • Strong programming skills and experience in using Python/Pyspark for Data Science
  • Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
  • Deep Knowledge of statistical and machine learning algorithms.
  • 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 building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning and testing.
  • Experience in price elasticity models, price optimization, market mix modelling and trade promo optimization
  • 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.
  • Strong presentation and communications skills with ability to communicate complex analytical or
  • Technical concepts to audiences with limited analytical or technical background.
  • Characteristics
  • ● Experience with SQL, databases and ETL tools or similar is optional but preferred
  • ● Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or
  • related Big Data technologies
  • ● Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • ● Experience in implementing planning applications will be a plus
  • ● Understanding of Supply Chain Concepts will be preferable.

What We Offer

  • Competitive Salary – We recognize and reward talent.
  • Tech Tools – Choose a Windows or PC laptop, whatever helps you work best.
  • Flexible Work – Work from home two days a week—less commuting, more time for what matters.
  • Supportive Team – Work alongside a diverse, talented team you can learn from every day.
  • Diversity & Inclusion – We celebrate our international workforce and value different perspectives.
  • Food & Drink – Enjoy healthy snacks, fresh fruit, teas, and coffees.
  • More about us...
  • At o9, transparency and open communication are at the core of our culture. Collaboration thrives across all levels—hierarchy, distance, or function never limit innovation or teamwork. Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations.
  • With a $3.7 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world. Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making. Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility. By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value.
  • o9 is an equal-opportunity employer that values diversity and inclusion. We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process. Join us as we continue our growth journey!

Qualifications

  • Strong programming skills and experience in using Python/Pyspark for Data Science
  • Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is needed
  • Deep Knowledge of statistical and machine learning algorithms.
  • 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 building scalable ML frameworks for demand sensing including identifying and collecting relevant input data, feature engineering, tuning and testing.
  • Experience in price elasticity models, price optimization, market mix modelling and trade promo optimization
  • 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.
  • Strong presentation and communications skills with ability to communicate complex analytical or
  • Technical concepts to audiences with limited analytical or technical background.
  • Characteristics
  • ● Exposure to distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, or
  • related Big Data technologies
  • ● Experience with Deep Learning frameworks such as Keras, Tensorflow or PyTorch is preferable
  • ● Understanding of Supply Chain Concepts will be preferable.
  • 5+ years of experience in the field of Data Science and Analytics, experience in time series forecasting will be good to have
  • Education: Master’s Degree. Degrees in the following fields: Operations Research, Mathematics, Science, Engineering, Business Administration, Business Analytics, Computer Science, or related fields (including Supply Chain Engineering).

Preferred Qualifications

  • ● Experience with SQL, databases and ETL tools or similar is optional but preferred
  • ● Experience in implementing planning applications will be a plus

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