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Jobs/Data Scientist Role/Lingaro - Data Scientist - Time series and forecasting
Lingaro

Lingaro - Data Scientist - Time series and forecasting

Remote - India2mo ago
RemoteAPACCloud ComputingArtificial IntelligenceData ScientistBlockchain AnalystReportingLinearPythonSQLGCP

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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 • § 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) • § 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 • § Familiarity with other languages R, Scala would be a plus • § 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 • 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.

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 intoproduction (batch scoring, APIs, models monitoring, dashboards). • § Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis).

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.

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