Job description

The person we are looking for will become part of Data Science & AI Sub- CC Team working within DS&AI competency.

Person will be responsible for delivering projects mainly in optimization/ operations research area, from POCs to scaling up existing solutions, mostly in Supply Chain area for Top500 FMCG companies.

Duties include:

• 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

• Know-how and experience from projects in Supply Chain area, or optimization projects is a plus.

Must have:

• Minimum 2-4 years for Regular, 4+ years for Lead 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

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

Our offer:

• Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.

• “Office as an option” model. You can choose to work remotely or in the office.

• Workation. Enjoy working from inspiring locations in line with our workation policy.

• 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. 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.

• Social fund benefits for everyone. All Lingarians can apply for social fund benefits, such as vacation co-financing.

• 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.