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Lead Data Scientist (US Healthcare)

Role overview

Qualifications

  • 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
  • Familiarity with regression, boosting, segmentation, MMM and Deep Learning
  • Experience with R, Python, Spark, TensorFlow, Caffe, PyTorch and Big data platforms

Responsibilities

  • Own the data science strategy and initiatives to support the product roadmap
  • Promote a culture of creative thinking to solve complex business problems
  • Leverage traditional statistical and mathematical modelling with AI/ML techniques
  • Roll up your sleeves and work with engineers and data scientists to deliver on promises

Key facts

Hard skills

Other skills

  • Creative Thinking
  • Problem Solving
  • Team Leadership
  • Curiosity

About the company

2COMS Consulting Pvt. Ltd. logo

2COMS Consulting Pvt. Ltd.

Human Resources Services

2COMS Consulting focuses on the #HumanSideOfThings – helping organizations become sustainable leaders by connecting them to the right talent. We are a Human Supply Chain management company with over 10,515+ employees, spread across seven locations. As an NSDC partner, we help more than 4000 professionals meet their career goals by connecting them with over 70 clients, daily. Our manpower solutions are customized and aligned with our clients’ requirements – financial management, continuous performance improvement, and integrated technology enablement. It is our continuous endeavours of the past 20 years that helped us strengthen our relationships with our partners and gain diversified experience spanning industries. For more information, visit the link below: https://www.2coms.com/

Company details

IndustryHuman Resources Services
Company size10001

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Job description

Category: Consulting

Location: Remote Karnataka India


 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.




Details

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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