Data Scientist - Time series and forecasting

Lingaro

IndiaremotePosted 3 days ago

Skill Required

Data-ScienceMachine-LearningForecastingTime-Series-AnalysisBusiness-AnalyticsForecasting-Data-ScientistData-Science-for-ForecastingTime-Series-ModelingForecasting-EngineerForecasting-SpecialistData ScientistTime SeriesMachine LearningDeep LearningDatabricksObservabilityPythonScalaAzureDesign PatternsSQLGCPFulltime

Key highlights

Remote work in India
Flexible working hours and contract types
Unlimited access to Udemy learning platform
Internal promotions (76% of managers are internal)
Diverse and inclusive workplace
Modern office equipment provided

Role overview

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

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

Nice to have

Model hyperparameter tuning in an analytical role supporting business will be a plus
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
Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems

Benefits

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.

Additional details

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.
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
Originally posted on Himalayas