Data Scientist

Role: Data Scientist

Location: India (Remote)

About Lingaro:

Lingaro Group is the end-to-end data services partner to global brands and enterprises. We lead our clients through their data journey, from strategy through development to operations and adoption, helping them to realize the full value of their data.

Since 2008, Lingaro has been recognized by clients and global research and advisory firms for innovation, technology excellence, and the consistent delivery of highest-quality data services. Our commitment to data excellence has created an environment that attracts the brightest global data talent to our team.

About DS/AI Competency Center:

Focuses on leveraging data, analytics, and artificial intelligence (AI) technologies to extract insights, build predictive models, and develop AI powered solutions. Utilizes Exploratory Data Analysis, Statistical Modeling and Machine Learning, Model Deployment, and Integration as well as Model Monitoring and Maintenance. Delivers business solutions using multiple AI techniques and tools.

Website:

https://lingarogroup.com/

Requirements:

Must Have:

• 5+ years of relevant professional experience, including 2+ of DS/Operations Research experience.
• Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.).
• Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL
• Experience working in cloud technologies (preferred MS Azure, GCP 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 with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation, hypothesis testing and model deployment.
• Experience in working with client-facing role.
• Able to apply independent research, gather information, and give recommendation how to solve problems of diverse scope.
• Great communication skills.

Nice to have:

• Other programming languages knowledge e.g., SQL, R
• Experience working in Spark (PySpark)
• Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed
• Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability)
• Strong statistical/mathematical background
• Experience in working in matrix organization

Tasks:

• Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodologies.
• Understanding of optimization methodologies including linear/integer/nonlinear programming and heuristics for finding the best solution to the business problem.
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks,
• Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements)
• Creation and following of standards to improve competency quality.
• Know-how and experience from projects in Supply Chain area, or optimization projects is a plus

Why join us:

• Stable employment. On the market since 2008, 2000+ 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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