Data Scientist – Time Series and Forecasting

Job not on LinkedIn

🕒 February 19

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 46%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Lingaro

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• 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).

🎯 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 • Experience with OOP in Python • Experience with MLOps • 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

🏖️ 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.