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Data Scientist - Consumer Anaytics, Forecasting

Roles & Responsibilities

  • Commercial experience with classical data science and ML models (e.g., decision trees, ensemble methods, linear regression) and end-to-end modeling across the pipeline.
  • Fluency in Python with basic SQL knowledge and experience with DS/ML libraries; solid cloud experience (Databricks, GCP or Azure).
  • Experience gathering business requirements, translating them into technical plans, data processing, feature engineering, and model evaluation/validation frameworks.
  • Familiarity with customer analytics concepts or advanced forecasting; ability to perform hyperparameter tuning and model validation.

Requirements:

  • Running end-to-end initiatives (business understanding, data understanding/preparation, modeling, evaluation and deployment).
  • Analyzing and interpreting findings; drawing conclusions and recommendations— including expected benefits and ROI for enhancing business processes.
  • Pre-sales activities (at senior consultant level).

Job description

Data Scientist - Consumer Anaytics, Forecasting
India, Remote

Tasks:
·       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:
Must Have:
·       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)  
 
Nice To Have:
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 
 
General: 
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
 
 Why join us: 
 
·       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.

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