Data Scientist - Consumer Anaytics, Forecasting
Lingaro
IndiaremotePosted 1 month 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
Additional details
- Originally posted on Himalayas