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The candidate we are looking for will become part of the Data Science & AI Sub-CC Team working within the DS&AI competency. This role will be responsible for delivering projects mainly in the optimization and operations research area, from POCs to scaling up existing solutions, mostly in the Supply Chain domain for Top 500 FMCG companies.
Job Responsibility:
Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies
Understanding optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem
Act as ambassador of Lingaro at external Client’s projects
Be able to deliver technical tasks based on business requirements, from data processing, feature engineering, hypothesis testing and presentation of findings
Proactive approach for identified areas of improvement
Following competency/company delivery standards
Requirements:
Minimum 5+ years of relevant professional experience
Commercial experience proven by successful projects in the area of data science
Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.) and eagerness to extend the knowledge
Strong Python coding skills, including using ML libraries and basic working knowledge of SQL
Experience in feature engineering techniques and/or usage of external data sources helpful in forecasting problems
Experience working in cloud technologies (MS Azure especially, GCP/AWS nice-to-have)
Familiarity with theory behind various machine learning concepts
Experience in CRISP-DM projects delivery and with Agile project (like Scrum, Kanban)
Experience in working with client-facing role, specially external clients
Great communication skills
Advanced English skills
Nice to have:
Other programming languages knowledge like: R, SQL, for Python including Object oriented programming concepts
Practical knowledge of using genAI
Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)
Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment
Good understanding of Microsoft Azure technologies or Google Cloud technologies
Strong statistical/mathematical background – understanding of the math behind ML methods
Good understanding and experience in operationalization of models using VMs
Experience in working in matrix organization
Knowledge about relational databases
What we offer:
Stable employment
“Office as an option” model
Workation
Great Place to Work® certified employer
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
Upskilling support
Grow as we grow as a company
A diverse, inclusive, and values-driven community
Autonomy to choose the way you work
Create our community together
Activities to support your well-being and health
Social fund benefits for everyone
Plenty of opportunities to donate to charities and support the environment