Offer summary

Qualifications:

Master's degree in machine learning, mathematics, computer science, statistics, or related fields., Over 6 years of hands-on experience in developing data-driven solutions in corporate or consulting settings., Proficiency with data science tools such as R, Python, Spark, TensorFlow, Caffe, PyTorch, and big data platforms like Hadoop., Strong knowledge of data engineering, data modeling, algorithms, and advanced analytical techniques..

Key responsibilities:

Own and lead the data science strategy to support product development.

Promote innovative approaches to solve complex business problems using AI/ML techniques.

Collaborate with engineers and data scientists to deliver AI-powered solutions.

Hire, mentor, and scale the data science team to support growth.

Job description

Lead Data Scientist Job Summary:

With a Product First strategy, we are building New Age solutions for the healthcare and CPG industry that operate at the intersection of business, math, and technology to drive profitable growth for our clients.

Specifically we are building B2B SaaS products that are powered by AI/ML algorithms to minethe data broad and deep.

What you will get to do:

• Own the data science strategy and initiatives to support the product roadmap.

• Promote a culture of creative thinking to solve some of the age-old complex business problems.

• Leverage traditional statistical and mathematical modelling with new age AI/ML techniques.

• Convert black box AI models into explainable models using xAI.

• Roll up your sleeves and work with a group of smart engineers and data scientists to deliveron the promise.

• Hiring, guiding and coaching Data Science team, and scale the same to keep pace with fast growth.

• Contributing to the thought leadership through whitepapers/ articles and conferences. What you will need to make an impact: • A believer in democratizing Advanced Analytics to empower the business users to solvecomplex business problems. • A Doer: you get things done and inspire your teams to do the same.

Requirements

• A Master’s degree in machine learning, mathematics, computer science, statistics/economics, or related fields.

• 6+ years of hands-on experience developing and applying data-driven solutions. in a corporate or consulting setting, preferably in a CPG/ Retail/ Healthcare industries.

• Familiarity with regression, boosting, segmentation, MMM and Deep Learning.

• Ability to solve data science problems using both traditional and advanced analytical (AI/ML/DL) techniques.

• Experience with R, Python, Spark, TensorFlow, Caffe, PyTorch and Big data platforms likeApache Spark and Hadoop.

• Strong experience and knowledge of data engineering, data modelling, algorithms,and data science.

• Intellectual curiosity and excellent problem-solving skills, including the ability to structure and prioritize an approach for maximum impact.

Salary: 100000 - 1500000

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