Data Scientist - Consumer Anaytics, Forecasting

Lever, Inc.; India; Remote; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Remote work

Udemy access

Buddy onboarding

Growth opportunities

Well-being programs

Job summary

Lever, Inc. is hiring a data science professional to lead end-to-end initiatives from data understanding through deployment. You will interpret findings, quantify ROI, and present actionable recommendations to customers.

The role emphasizes strong Python/SQL skills, ML modeling, and collaboration with top engineers in a fully remote setup. The position offers flexible hours, extensive onboarding, and access to Udemy certificates, with opportunities for growth and internal promotion as the team

Qualifications

• Fluency in Python and SQL.
• Knowledge of DS/ML libraries.
• Cloud platforms: Databricks, GCP or Azure.
• Experience with data science and ML modeling.
• Ability to translate business requirements into technical plans.
• Pre-sales experience at senior consultant level.

Responsibilities

• Run end-to-end data science initiatives from discovery to deployment.
• Analyze findings and draw ROI-driven recommendations.
• work on pre-sales activities at senior consultant level.
• Collaborate with customers to gather requirements and build solutions.
• Develop and validate models, feature engineering, and evaluation.

Skills

Python

SQL

ML models

Forecasting

Deep learning

OOP Python

MLOps

Big data

R

Scala

Databricks

GCP

Azure

Tools

Databricks

Docker

Job description

Nice To Have:

• understanding ofCausal machine learning
• experience in working with big data and distributed environments would be a plus
• commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
• Experience with OOP in Python
• Experience withMLOps
• familiarity with other languages R, Scala would be a plus

General:

• basic computer programming skills and familiarity with programming concepts
• strong business acumen
• experience with deep learning,reinforcementlearningor other advanced modeling concepts in classical Data Science problems
• ability tocome up withcreative solutions to address customer problems

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 programwitha “Buddy” from day 1.
• Cooperation with top-tier engineers and experts.
• Unlimited access to the Udemylearning platformfrom 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 yourwell-being and health.
• Plenty of opportunities to donate to charities and support the environment.

What You Will Be Doing:

• Runningend-to-endinitiatives (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
• Pre-sales activities(at senior consultantlevel)
• 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

What We Are Looking For:

• Commercialexperience withvariousclassicaldata scienceandMachine Learning (ML)models (e.g.decisiontrees,ensemble-basedtree models,linearregressionetc.)
• Familiarity with customer analyticsDS concepts or advanced forecasting
• Model hyperparameter tuning
• Model validation frameworks
• Experience with business requirements gathering, transforming them into technical plan, data processing, feature engineering, models evaluation
• Previousexperience in an analytical role supporting businesswill be a plus
• Fluency in Python,basic working knowledge of SQL
• Knowledge of specific DS/ML libraries
• Solidexperience in one of the cloud computing platforms (Databricks or GCP or Azure)

Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.

What WIll Set You Apart:

• Understanding of Causal machine learning
• Experience in working with big data and distributed environments would be a plus
• Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
• Experience with OOP in Python
• Experience withMLOps
• Familiarity with other languages R, Scala would be a plus

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 Udemylearning platformfrom 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 Coachto 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 yourwell-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.

₹0 - ₹0 a year