Data Scientist - Time series and forecasting

About the Position

Data Scientist - Time series and forecasting

India, Remote

Growth through diversity, equity, and inclusion. As an ethical business, we do what is right - including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.

Responsibilities

• 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

Must Have:

• 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
• Model hyperparameter tuning in an analytical role supporting business will be a plus
• 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)

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

We Offer

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
• “Office as an option” model. You can choose to work remotely or in the office, depending on your location.
• 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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. More information about how your data is processed you can find here - Candidate Privacy Notice, Lingaro

About the Company

Lingaro is a company committed to ethical business practices and fostering an inclusive workplace. We value diversity and believe it fuels both personal and business growth. Our team is made up of 1500+ talents across 7 global sites, and we offer flexible working arrangements, comprehensive training programs, and a supportive community for our employees.