L

Lingaro

Turns data into AI-driven business insights

Data Scientist - Forecasting

Data ScienceConfirmed live in the last 24 hours
Full-timeRemote in IndiaNo salary listedRemote

About the Job

Requirements

  • Commercial experience with classical data science and machine learning models, such as decision trees, ensemble-based tree models, and linear regression.
  • Knowledge of customer analytics concepts or advanced forecasting.
  • Fluency in Python and basic working knowledge of SQL.
  • Knowledge of specific data science and machine learning libraries.
  • Solid experience with one cloud computing platform: Databricks, Google Cloud Platform, or Azure.
  • Basic computer programming skills and familiarity with programming concepts.
  • Experience with deep learning, reinforcement learning, or other advanced modeling concepts in classical data science problems.

Responsibilities

  • Work on end-to-end classification and forecasting use cases, including problem framing, data preparation, model development, evaluation, and basic deployment support, such as demand forecasting and churn prediction.
  • Explore and clean data, perform exploratory data analysis, and flag data quality issues.
  • Engineer features for tabular and time-series data.
  • Train, validate, and tune standard machine learning models, such as logistic regression, tree-based models, gradient boosting, simple neural networks, and classical time-series models.
  • Evaluate models with appropriate metrics that affect business key performance indicators.
  • Build visualizations and reports to present model results and insights to business stakeholders.
  • Collaborate with data engineers and AI engineers to bring models into production, including batch scoring, application programming interfaces, model monitoring, and dashboards.
  • Document data sources, modeling assumptions, and experiment results reproducibly using notebooks, reports, and wikis.

Desired Qualifications

  • Model hyperparameter tuning in an analytical role supporting business.
  • Understanding of causal machine learning.
  • Experience working with big data and distributed environments.
  • Commercial experience demonstrated through multiple successful forecasting projects.
  • Experience with object-oriented programming in Python.
  • Experience with MLOps.
  • Familiarity with R or Scala.

About the Company

Lingaro

Turns data into AI-driven business insights

Lingaro helps large organizations turn data into business value. It provides end-to-end data and AI services, from strategy and advisory to building scalable data platforms and AI solutions. Its team turns complex data into actionable insights, advanced analytics, and AI-driven automation, enabling faster decisions and greater efficiency. Lingaro distinguishes itself with global reach rooted in Europe, strong engineering expertise, agility, and deep industry knowledge, serving 75+ brands in 30+ countries, including highly regulated sectors. As a long-term transformation partner, the company aims to make organizations data-ready, AI-ready, and future-ready, delivering measurable business impact across teams and processes.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Warsaw, Poland
Founded
2008

Recently Posted Jobs

Explore more opportunities at Lingaro

See more jobs