DG-Assistant Manager- Data Scientist

2 weeks ago

Hyderabad, Telangana, India Genpact Full time

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world's biggest brands—and we have fun doing it We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line.

We're harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people.

Now, we're calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing.

People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower.
Welcome to the relentless pursuit of better.
Inviting applications for the role of Assistant Manager – Data Scientist

The position is based out of India and the focus of the role is to have enterprise level experience in Predictive and NLP Model build, validation, implementation, monitoring, etc.

and do analysis on data, be able to understand, translate and integrate the analysis.

We are seeking a highly skilled and experienced Generative AI Specialist for developing and implementing cutting-edge generative models to solve complex problems using LLM technology.

Need to collaborate with cross-functional teams, conduct research, and deliver innovative solutions in the field of generative artificial intelligence.
Responsibilities

  • Participating and collaborating with operation teams in the organization to understand the business requirements and to deliver scalable solutions.
  • Conduct thorough research on state-of-the-art generative AI techniques, stay up to date with the latest advancements, and apply them to enhance the capabilities of LLM models.
  • Ability to create models using Classification and Regression techniques and perform Hypothesis Testing and Feature selection.
  • Ability to use creativity to spot trends and tease out patterns in large datasets.
  • Strong analytical and problem-solving skills, and ability to set goals and meet deadlines in fast paced working environment.
  • Analyze user behavior, conversion data, customer journeys to generate hypothesis and build optimization plans and provide insights for feature improvements.
  • Mine and analyze data from company databases to drive optimization and improvement of product development and business strategies.
  • Continuously think on how to improve the analytics infrastructure for the team and automate processes.
  • Perform deep dive analyses on key business trends from different perspectives and package the insights into easily consumable presentations and documents.
  • Provide thought leadership within the marketing analytics community.
Qualifications we seek in you
Minimum qualifications

  • Education in Statistics, Mathematics, Computer Science, or another quantitative field.
Preferred Qualifications/ Skills

  • Experience using computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.
  • Experience in using industry standard AI/ML libraries i.e., Sklearn, Keras, Tensorflow, AutoML etc.
  • Solid understanding of generative AI concepts, frameworks, and techniques, with hands-on experience in developing and deploying generative models.
  • Proficiency in working with Large Language Models (LLMs), such as GPT-3, GPT-4, or similar models.
  • Strong programming skills in languages such as Python and experience with deep learning libraries/frameworks (e.g., TensorFlow, PyTorch).
  • Effective communication and collaboration skills, with the ability to work effectively in a multidisciplinary team environment.
  • Familiarity with natural language processing (NLP) and understanding of various NLP tasks is a plus.
  • Prior experience in handling LLM use cases or working with large-scale language models is highly desirable.
  • Ensure data quality and integrity through best practices and compliance to framework, architecture, and coding standards.

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