Chief Data Insights Officer

2 weeks ago


Bengaluru, Karnataka, India CogniTensor Full time

Job Title: Chief Data Insights Officer

We are seeking a talented and experienced Data Scientist to join our team at CogniTensor.

About the Role:

This is an exciting opportunity for a Senior Data Scientist to take on a leadership role in driving business outcomes through data-driven insights. You will be responsible for building and maintaining Machine Learning (ML) Operations pipelines, developing custom data models and algorithms, and analyzing complex problems to translate them into actionable data science solutions.

Key Responsibilities:

  • Use predictive modeling to increase customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Build and maintain ML Ops pipelines for the product, ensuring seamless integration with existing infrastructure.
  • Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and business strategies.
  • Develop custom data models and algorithms to apply to data sets, providing actionable insights to stakeholders.
  • Manage multiple projects with competing priorities, ensuring timely delivery and high-quality results.
  • Provide project management, quality assurance, leadership, and mentoring to a team of analysts based in an offshore location.
  • Stay up-to-date with industry trends and emerging methodologies to continuously improve skill set around customer and product analytics.
  • Contribute to knowledge sharing and improve team productivity through training/documentation of best practices that are directly linked to customer engagement.

Requirements:

  • At least 5-7 years of experience in data science, with a strong background in machine learning and statistical analysis.
  • Experience working with Google Cloud Platform (GCP) and corresponding ML services like Vertex AI, Big Query ML, Auto ML, and Kubeflow.
  • Strong understanding of statistical and data mining techniques, including GLM/Regression, Random Forest, Boosting, Trees, Text Mining, Social Network Analysis, and Natural Language Processing.
  • Knowledge of advanced statistical techniques and concepts, such as regression, properties of distributions, statistical tests, and proper usage.
  • Excellent verbal and written presentation skills, with the ability to communicate complex technical ideas to non-technical stakeholders.
  • Certified with GCP Professional Machine Learning Engineer, or equivalent experience.
  • Strong business acumen and ability to translate data insights into meaningful business recommendations.
  • Proven experience in delivering analytical solutions within mid to large-size project teams, and working in on-shore & off-shore environments.

What We Offer:

  • A competitive salary range of $120,000 - $160,000 per annum, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.
  • The opportunity to work with a talented team of professionals in a dynamic and fast-paced environment.
  • Professional growth and development opportunities, including training and mentorship programs.

How to Apply:

If you are a motivated and experienced data scientist looking to take on a leadership role, please submit your resume and cover letter to us.



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