Data Scientist (AI Enablement) 10 PLUS YEARS

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Data Science, Analytics & AI Enablement (Immediate joiners)

Remote

25 lpa MAX

Experience:

Industry:



Job Summary

The Director of Data Science, Analytics & AI Enablement will lead the strategy, development, and execution of enterprise-wide data and AI initiatives. This role will build and scale a high-performing team to deliver advanced analytics, machine learning solutions, and strong data governance to support business growth.



Key Responsibilities

  • Lead end-to-end development of AI/ML models (predictive analytics, GenAI, NLP, recommendation systems).
  • Build and manage BI dashboards, KPIs, and analytics tools for cross-functional teams.
  • Define and implement data governance, data quality, and scalable data architecture.
  • Partner with Product, Engineering, Marketing, and Leadership to align data and AI strategies with business goals.
  • Build, mentor, and scale a global team of data scientists, analysts, and AI/ML engineers.
  • Drive insights on customer behavior, churn, product usage, and SaaS growth metrics.
  • Oversee data integration, MDM, and data catalog initiatives.



Required Qualifications

  • Bachelor’s/Master’s in Data Science, Computer Science, Statistics, or related field.
  • 10+ years of experience in Data Science/Analytics/AI; minimum 3–5 years in leadership.
  • Strong experience in SaaS metrics (MRR, ARR, churn, LTV, CAC).
  • Hands-on expertise with AI/ML, Snowflake/Databricks, SQL, and BI tools (Tableau/Power BI).
  • Strong knowledge of data governance, data quality, and privacy standards.
  • Excellent communication, stakeholder engagement, and cross-functional leadership skills.



Regards,

 

Mayank Aggarwal

 

KK Software Associates LLC

8751 Collin McKinney Pkwy, # 1302, McKinney, TX 75070

Direct:

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