Data Scientist - Consumer Analytics

Lingaro; India; Hybrid; INR 800,000 - 1,500,000; Full time

Benefits offered by this job

Stable employment since 2008

Flexibility regarding working hours

Unlimited access to Udemy learning platform

Certificate training programs

Support for well-being and health

Job summary

Lingaro is looking for a talented data professional to lead end-to-end data science projects, from understanding business needs to deploying models. You will analyze findings, make recommendations, and work closely with data and business teams.

The ideal candidate possesses commercial experience in various machine learning models, fluency in Python, and familiarity with cloud platforms. Flexible working hours and a supportive learning environment are part of the offering.

Qualifications

• Commercial experience in classical data science and machine learning.
• Familiarity with customer analytics and forecasting concepts.
• Experience in data processing and model evaluation.

Responsibilities

• Run end-to-end initiatives for data science projects.
• Analyze findings and provide actionable recommendations.
• Gather business requirements and transform them into technical plans.

Skills

Commercial experience with data science and ML models

Fluency in Python

Basic knowledge of SQL

Experience with cloud computing platforms (Databricks, GCP, Azure)

Tools

Specific DS/ML libraries

Experience with big data environments

Job description

Tasks:

• Running end-to-end initiatives (Business understanding, Data understanding/preparation, Modeling, Evaluation and Deployment)
• Analyzing and interpreting the findings
• Drawing conclusions and recommendations—including expected benefits and measuring ROI for enhancing business processes

What We're Looking For:

• Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.)
• Familiarity with customer analytics DS concepts or advanced forecasting
• Experience with business requirements gathering, transforming them into a technical plan, data processing, feature engineering, and model evaluation
• Previous experience in an analytical role supporting business will be a plus
• Fluency in Python and basic working knowledge of SQL
• Knowledge of specific DS/ML libraries
• Solid experience in one of the cloud computing platforms (Databricks, GCP, or Azure)

What Will Set You Apart:

• Understanding of causal machine learning
• Experience working with big data and distributed environments (plus)
• Commercial experience proven by multiple successful forecasting projects (big plus)
• Experience with OOP in Python
• Experience with MLOps
• Familiarity with other languages such as R or Scala (plus)

General:

• 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
• Ability to come up with creative solutions to address customer problems

We 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, 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. 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
• Modern office equipment. Purchased for you or available to borrow, depending on your location