Data Scientist - Consumer Anaytics, Forecasting

Lingaro

IndiaremotePosted 2 months ago

Skill Required

Data-ScientistMachine-Learning-EngineerConsumer-AnalyticsForecasting-AnalystBusiness-Intelligence-AnalystForecasting-Data-ScientistConsumer-Data-ScienceData-Scientist---AnalyticsData ScientistMachine LearningDeep LearningDatabricksPythonScalaAzureDesign PatternsSQLGCPFulltime

Key highlights

100% remote work
Full‑time position
Unlimited Udemy learning platform access from day 1
Fluency in Python and basic SQL required
Solid cloud platform experience (Databricks, GCP, or Azure) required
Pre‑sales activities at senior consultant level

Role overview

Responsibilities

Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
Analyzing and interpreting the findings
Drawing conclusions and recommendations—including expected benefits and measuring ROI for enhancing business processes
Pre‑sales activities (at senior consultant level)

Requirements

Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble‑based tree models, linear regression etc.)
Familiarity with customer analytics DS concepts or advanced forecasting
Model hyperparameter tuning
Model validation frameworks
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
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
Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
Ability to come up with creative solutions to address customer problems

Nice to have

Previous experience in an analytical role supporting business will be a plus
Understanding of causal machine learning
Experience working with big data and distributed environments would be a plus
Commercial experience proven by multiple successful projects in forecasting would be a big plus
Experience with OOP in Python
Experience with MLOps
Familiarity with other languages R, Scala would be a plus

Benefits

Stable employment; company on the market since 2008 with 1300+ talents across 7 global sites
100% remote work
Flexibility regarding working hours
Full‑time position
Comprehensive online onboarding program with a “Buddy” from day 1
Collaboration with top‑tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs (500+ technology certificates earned yearly)
Upskilling support via capability development programs, competency centers, knowledge‑sharing sessions, community webinars, and 110+ training opportunities yearly
Career growth: 76% of managers are internal promotions
Diverse, inclusive, values‑driven community
Autonomy to choose the way you work; trust in your ideas
Referral bonuses for recommending friends
Well‑being and health support activities
Opportunities to donate to charities and support the environment