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Data Scientist - Time series and forecasting

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Lingaro

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Location:
India

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Responsibility:

  • Work on end‑to‑end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction)
  • Explore and clean data
  • perform EDA to understand data and flag data quality issues
  • Engineer features for tabular and time‑series data
  • Train, validate, and tune standard ML models (e.g. logistic regression, tree‑based models, gradient boosting, simple neural nets, classical time‑series models)
  • Evaluate models with appropriate metrics that have impact on business KPIs
  • Build clear visualizations and concise reports to present model results and insights to business stakeholders
  • Collaborate with data engineers and AI engineers to bring models into production (batch scoring, APIs, models monitoring, dashboards)
  • Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis)

Requirements:

  • Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
  • Knowledge of customer analytics concepts or advanced forecasting
  • Fluency in Python, basic working knowledge of SQL
  • Knowledge of specific DS/ML libraries
  • Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
  • 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

Nice to have:

  • Understanding of Causal machine learning
  • Experience in working with big data and distributed environments
  • Commercial experience proven by multiple successful projects in the areas of forecasting
  • Experience with OOP in Python
  • Experience with MLOps
  • Familiarity with other languages R, Scala
What we offer:
  • Stable employment
  • “Office as an option” model
  • 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
  • Upskilling support
  • Internal Gallup Certified Strengths Coach to support your growth
  • Grow as we grow as a company
  • A diverse, inclusive, and values-driven community
  • Autonomy to choose the way you work
  • Create our community together
  • Activities to support your well-being and health
  • Plenty of opportunities to donate to charities and support the environment
  • Modern office equipment

Additional Information:

Job Posted:
April 20, 2026

Employment Type:
Fulltime
Work Type:
Remote work
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