Data Scientist (Marketing Mix Modeling) @ Lingaro at Lingaro #vacancy #remote

Requirements:

Role Specific – essential:

  • familiarity with theory behind various machine learning concepts
  • commercial experience with various Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.)
  • experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
  • previous experience in an analytical role supporting business
  • fluency in Python, basic working knowledge of SQL
  • knowledge of specific DS/ML libraries

Role Specific – nice to have:

  • familiarity with other languages: R, Scala would be a plus
  • 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

General:

  • basic computer programming skills and familiarity with programming concepts
  • strong business acumen
  • ability to come up with creative solutions to address customer problems

We offer:

  • Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
  • “Office as an option” model. You can choose to work remotely or in the office.
  • Great Place to Work® certified employer.
  • Flexibility regarding working hours and your preferred form of contract.
  • 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.
  • Internal Gallup Certified Strengths Coach to support your growth.
  • 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.
  • Modern office equipment. Purchased for you or available to borrow, depending on your location.

,[Tasks:, Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment), Analyzing and interpreting the findings, Drawing conclusions and recommendations- including expected benefits and measuring ROI for enhancing business processes, Pre-sales activities] Requirements: Python, Machnine Learning, SQL, Machine learning, Requirements gathering, Scala, Big Data, Forecasting Additionally: Training budget, Sport subscription, Private healthcare.

feature-engineering Scala Data Science Python business acumen linear-regression R Big data SQL Machine Learning forecasting data-processing hypothesis-test Model deployment

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