Talent.com
This job offer is not available in your country.
Lead Data Scientist

Lead Data Scientist

Cognitio Analytics IncGurugram, Haryana, India
4 days ago
Job description

About Us :

Website :   https : / / www.cognitioanalytics.com /

Cognitio Analytics, founded in 2013, aims to be the preferred provider of AI / ML driven productivity solutions for large enterprises. The company has received awards for its Smart Operations and Total Rewards Analytics Solutions and is dedicated to innovation, R&D, and creating sustained value for clients. Cognitio Analytics has been recognized as a "Great Place to Work" for its commitment to fostering an innovative work environment and employee satisfaction.

Our solutions include Total Rewards Analytics powered by Cognitio’s Total Rewards Data Factory, The Total Rewards Analytics solutions help our clients achieve better outcomes and higher ROI on investments in all kinds of Total Rewards programs.

Our smart operations solutions drive productivity in complex operations, such as claims processing, commercial underwriting etc. These solutions, based on proprietary capabilities based on AI, advanced process and task mining, and deep understanding of operations drive effective digital transformation for our clients.

Ideal qualifications, skills and experiences we are looking for are :

  • We are actively seeking a talented and results-driven Data Scientist to join our team and take on a leadership role in driving business outcomes through the power of data analytics and insights.
  • Your contributions will be instrumental in making data-informed decisions, identifying growth opportunities, and propelling our organization to new levels of success.
  • Doctorate / Master's / bachelor's degree in data science, Statistics, Computer Science, Mathematics, Economics, commerce or a related field.
  • Minimum of 6 years of experience working as a Data Scientist or in a similar analytical role, with experience leading data science projects and teams.

Experience in Healthcare domain with exposure to clinical operations, financial, risk rating, fraud, digital, sales and marketing, and wellness, e-commerce or the ed tech industry is a plus.

  • Proven ability to lead and mentor a team of data scientists, fostering an innovative environment. Strong decision-making and problem-solving skills to guide strategic initiatives.
  • Expertise in programming languages such as Python and R, and proficiency with data manipulation, analysis, and visualization libraries (e.g., pandas, NumPy, Matplotlib, seaborn).

    • Very strong python and exceptional with pandas, NumPy, advanced python (pytest, class, inheritance, docstrings).

  • Deep understanding of machine learning algorithms, model evaluation, and feature engineering. Experience with frameworks like scikit-learn, TensorFlow, or Py torch.
  • Experience of leading a team and handling projects with end-to-end ownership is a must
  • Deep understanding of ML and Deep Learning is a must
  • Basis NLP experience is highly valuable.
  • Pyspark experience is highly valuable.
  • Competitive coding experience (LeetCode) is highly valuable.
  • Strong expertise in statistical modelling techniques such as regression, clustering, time series analysis, and hypothesis testing.
  • Experience of building & deploying machine learning models in cloud environment : Microsoft Azure preferred (Databricks, Synapse, Data Factory, etc.)
  • Basic MLOPs experience with FastAPIs and experience of docker is highly valuable and AI governance
  • Ability to understand business objectives, market dynamics, and strategic priorities. Demonstrated experience translating data insights into tangible business outcomes and driving data-informed decision-making.
  • Excellent verbal and written communication skills
  • Proven experience leading data science projects, managing timelines, and delivering results within deadlines.
  • Strong collaboration skills with the ability to work effectively in cross-functional teams, build relationships, and foster a culture of knowledge sharing and continuous learning.

    • Cognitio Analytics is an equal-opportunity employer. We are committed to a work environment that celebrates diversity. We do not discriminate against any individual based on race, color, sex, national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any factors protected by applicable law. All Cognitio employees are expected to understand and adhere to all Cognitio Security and Privacy related policies in order to protect Cognitio data and our client’s data. Our salary ranges are based on paying competitively for our size and industry and are one part of the total compensation package that also includes a bonus plan, equity, benefits, and other opportunities at Cognitio. Individual pay decisions are based on a number of factors, including qualifications for the role, experience level, and skillset."

    Create a job alert for this search

    Lead Data Scientist • Gurugram, Haryana, India