Data Scientist - Consumer Anaytics, Forecasting

Lingaro · Remote

Remote · open to IndiaPosted 30+ days agoLast checked 2 Nov 2026

Free account: apply link, HR contact and an AI-written cold email

About the role

Nice To Have: understanding of Causal machine learning  experience in working with big data and distributed environments would be a plus  commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus  Experience with OOP in Python  Experience with MLOps  familiarity with other languages R, Scala would be a plus    General:  basic computer programming skills and familiarity with programming concepts   strong business acumen  experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems  ability to come up with creative solutions to address customer problems    Why join us:    ·       Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites. ·       100% remote. ·       Flexibility regarding working hours. ·       Full-time position ·       Comprehensive online onboarding program with a “Buddy” from day 1. ·       Cooperation with top-tier engineers and experts. ·       Unlimited access to the Udemy learning platform from day 1. ·       Certificate training programs. Lingarians earn 500+ technology certificates yearly. ·       Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. ·       Grow as we grow as a company. 76% of our managers are internal promotions. ·       A diverse, inclusive, and values-driven community. ·       Autonomy to choose the way you work. We trust your ideas. ·       Create our community together. Refer your friends to receive bonuses. ·       Activities to support your well-being and health. ·       Plenty of opportunities to donate to charities and support the environment.

Skills mentioned

  • Python
  • Scala
  • Machine learning
  • Deep learning

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