Data Scientist

Role: Lead Data Scientist – Python, Azure/GCP

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/

Tasks:

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

• Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment of solutions – following CRISP-DM methodology
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, hypothesis testing, transforming findings into tasks, sharing know-how,
• Proactive approach for areas where improvement is needed, like suggestions of improving existing pipelines (tests, support, and improvements),
• propose new experiments to improve model accuracy,
• Work on implementing new forecasting/churn models.

Requirements:

Must Have:

• Min 5+ years hands on experience
• Commercial experience with various Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.)
• Hand on experience in RFM and CLV or/and customer analytics or/and forecasting,
• Strong knowledge of python (OOP, decorators, best practices),
• PySpark,
• Azure Databricks – knowledge of how workflow/pipelines work. Knowledge of databricks structure and ml related functionalities,
• Knowledge of other ml methods (clustering, regression, classification, churn),
• Understanding and experience in applying Data Science/Machine Learning methods,
• Ability to work independently and can do attitiude,
• Experience in working with client-facing role,
• Good communication skills,

Nice to have:

• Other programming languages knowledge e.g., SQL, R,
• Working experience in corporate multinational environment,
• Experience in working in other IT roles (Data Engineer, AI Engineer, Business Intelligence-related) is welcomed
• strong business acumen
• ability to come up with creative solutions to address customer problems
• Experience working in cloud technologies e.g. MS Azure, AWS
• Strong statistical/mathematical background

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.

Application link: Please click on this URL to submit your application