[Hiring] Data Scientist @Lingaro

Role Description

This role involves working on end-to-end classification and forecasting use cases.

• Problem framing, data preparation, model development, evaluation, and basic deployment support (e.g. demand forecasting, churn prediction)
• Explore and clean data; perform EDA to understand data and flag data quality issues
• Engineer features for tabular and time-series data
• Train, validate, and tune standard ML models (e.g. logistic regression, tree-based models, gradient boosting, simple neural nets, classical time-series models)
• Evaluate models with appropriate metrics that have impact on business KPIs
• Build clear visualizations and concise reports to present model results and insights to business stakeholders
• Collaborate with data engineers and AI engineers to bring models into production (batch scoring, APIs, models monitoring, dashboards)
• Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis)

Qualifications

• Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
• Knowledge of customer analytics concepts or advanced forecasting
• Model hyperparameter tuning 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)

Requirements

• 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
• 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

Benefits

• Stable employment
• On the market since 2008, 1500+ talents currently on board in 7 global sites
• “Office as an option” model - choose to work remotely or in the office, depending on your location
• Flexibility regarding working hours and your 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 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
• Internal Gallup Certified Strengths Coach to support your growth
• 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
• Trust in 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
• Modern office equipment purchased for you or available to borrow, depending on your location