Data Scientist – Consumer Analytics, Forecasting

🕒 December 1, 2025

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 56%

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

• Run end-to-end initiatives covering business understanding, data understanding and preparation, modeling, evaluation, and deployment • Analyze and interpret findings • Draw conclusions and recommendations, including expected benefits and ROI measurement for enhancing business processes • Participate in pre-sales activities at senior consultant level • Develop creative solutions to address customer problems

🎯 Requirements

• Commercial experience with classical data science and machine learning models, including decision trees, ensemble-based tree models, and linear regression • Familiarity with customer analytics data science concepts or advanced forecasting • Experience with model hyperparameter tuning • Knowledge of model validation frameworks • Experience gathering business requirements and transforming them into technical plans • Experience with data processing, feature engineering, and model evaluation • Fluency in Python • Basic working knowledge of SQL • Knowledge of specific data science and machine learning libraries • Solid experience with a cloud computing platform: Databricks, GCP, or Azure • 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 • Understanding of causal machine learning • Experience with big data and distributed environments is a plus • Commercial experience with multiple successful forecasting projects is a plus • Experience with OOP in Python • Experience with MLOps • Familiarity with R or Scala is a plus

🏖️ Benefits

• 100% remote / option to work in the office depending on location • Flexibility regarding working hours and 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 • Certificate training programs • Upskilling support, capability development programs, Competency Centers, knowledge sharing sessions, community webinars, and 110+ training opportunities yearly • Internal Gallup Certified Strengths Coach • Internal promotion opportunities • Diverse, inclusive, and values-driven community • Autonomy to choose the way you work • Referral bonuses • Activities supporting well-being and health • Opportunities to donate to charities and support the environment • Modern office equipment purchased for you or available to borrow, depending on location