AI Engineer Data Scientist Sales and Marketing

4 - 6 years

15 - 25 Lacs

Posted:1 day ago| Platform: Naukri logo

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Skills Required

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: AI Engineer / Data Scientist Sales & Marketing

  • Design, develop, and deploy

    AI/ML models

    to support sales forecasting, lead scoring, customer segmentation, and personalization.
  • Build and maintain

    predictive and prescriptive analytics

    pipelines for marketing campaigns and sales operations.
  • Apply

    generative AI and NLP techniques

    (e.g., LLMs, chatbots, content generation) to enhance customer engagement and marketing automation.
  • Collaborate with marketing and sales stakeholders to

    translate business challenges into data-driven solutions

    .
  • Perform

    A/B testing, uplift modeling, and attribution analysis

    to optimize campaign performance.
  • Integrate AI/ML models into production systems in partnership with data engineering and software development teams.
  • Communicate findings and recommendations to

    non-technical stakeholders

    through clear visualizations and storytelling.
  • Stay up to date with the latest advancements in

    AI, machine learning, and martech tools

    .

Qualifications

  • Bachelors or Masters degree in

    Computer Science, Data Science, Statistics, Mathematics, or a related field

    .
  • Proven experience as a

    Data Scientist, Machine Learning Engineer, or AI Engineer

    .
  • Strong proficiency in

    Python (pandas, scikit-learn, TensorFlow/PyTorch, NLP libraries)

    .
  • Hands-on experience with

    SQL and data visualization tools

    (e.g., Tableau, Power BI, Looker).
  • Background in

    sales/marketing analytics

  • Experience deploying models in production (e.g., APIs, cloud platforms like AWS, GCP, or Azure).
  • Excellent communication skills and ability to work cross-functionally with business and technical teams.

Preferred

  • Experience with

    CRM and marketing platforms

    (e.g., Salesforce, HubSpot).
  • Knowledge of

    marketing attribution models, recommendation systems, and churn prediction

    .
  • Familiarity with

    generative AI applications in marketing

    (e.g., content generation, customer service automation).

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