Data Scientist - Consumer Anaytics, Forecasting

• 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)

• 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
• Previous experience 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)

• Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.
• 100% remote.
• Flexibility regarding working hours.
• Full-time position
• 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.
• 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.

Originally posted on Himalayas