TEG Analytics - Lead Data Scientist

TEG Analytics is a product-based service company that works with Healthcare, CPG and Retail, providing both products and analytical services.

HealthWorksAI is a product division of TEG Analytics, both the companies are governed and managed by same leadership team.

For more information about our company, please refer to the links provided below.

https://healthworksai.com/

https://teganalytics.com/

Job Summary:

With a Product First strategy, we are building New Age solutions for the healthcare 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 mine the data broad and deep. The Lead Data Scientist is a leadership role that will collaborate with Product Managers and Customer Success Managers in driving the roadmap for the data science team to deliver the New Age solutions.

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 deliver on 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 solve complex business problems.

- A Doer: you get things done and inspire your teams to do the same.

- A Master's degree in machine learning, mathematics, computer science, statistics/economics or related fields

- 5+ years of hands-on experience developing and applying data-driven solutions in a corporate or consulting setting, preferably in a US Healthcare industry.

- 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 Azure, MLOps, Python, R, Spark, TensorFlow, Caffe, PyTorch and Big data platforms like Apache 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.

What will you get:

- A young-millennial team to work with

- Chance to work in a Product-based company.

- Exciting Recognition plan

- Complete WFH with 3 all-paid trips per year, Health Insurance, etc.

- Open leave policy, and flexible working hours