Senior/Lead Data Scientist

Insight Global • Erlanger, KY • 6h ago

Job Description

A fortune 100 company is seeking a Senior Data Scientist for a contract to hire role that will work onsite 4 days a week in the Bengaluru India area. The Senior Data Scientist will lead the development of data-driven solutions by leveraging traditional data science techniques and recent advancements in Generative AI to bring value to ADM. The role is integral to the Digital & Innovation team, driving rapid prototyping efforts, collaborating with cross-functional teams, and developing innovative approaches to solve business problems. This position requires a blend of expertise in traditional machine learning models, data science practices, and emerging AI technologies to create value and improve business outcomes.

Key Responsibilities:

Lead end-to-end machine learning projects, from data exploration, modeling, and deployment, ensuring alignment with business objectives.

Utilize traditional AI/data science methods (e.g., regression, classification, clustering) and advanced AI methods (e.g., neural networks, NLP) to address business problems and optimize processes.

Implement and experiment with Generative AI models based on business needs using Prompt Engineering, Retrieval Augmented Generation (RAG) or Finetuning, using LLM's, LVM's, TTS etc.

Collaborate with teams across Digital & Innovation, business stakeholders, software engineers, and product teams, to rapidly proto@type and iterate on new models and solutions.

Mentor and coach junior data scientists and analysts, fostering an environment of continuous learning and collaboration.

Adapt quickly to new AI advancements and technologies, continuously learning and applying emerging methodologies to solve complex problems.

Work closely with other teams (e.g., Cybersecurity, Cloud Engineering) to ensure the successful integration of models into production systems.

Ensure models meet rigorous performance, accuracy, and efficiency standards, performing cross-validation, tuning, and statistical checks.

Communicate results and insights effectively to both technical and non-technical stakeholders, delivering clear recommendations for business impact.

Ensure adherence to data privacy, security policies, and governance standards across all data science initiatives.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

9+ years of experience in Data Science

4+ years of experience with frameworks like TensorFlow, PyTorch, and working knowledge of Generative AI models like GPT and GANs

6+ years of experience with Python, R and SQL for data analysis, modeling, and data pipeline development

Experience deploying to cloud platforms (Azure, AWS, Google Cloud) and large-scale data processing tools (e.g., Hadoop, Spark).

Experience with DevSecOps practices, and tools such as GitHub, Azure DevOps, Terraform, Bicep, AquaSec etc.

Strong understanding of both supervised and unsupervised learning models and techniques.

Proven experience in rapid prototyping and ability to iterate quickly to meet business needs in a dynamic environment.

Bachelor's degree in Data Science, Machine Learning, Computer Science, Statistics, or a related field PowerBI, tableau or other visualization tools

Masters or PhD Degree in a quantitative field such as Machine Learning, Data Science, Statistics, Applied Mathematics, Physics, Computer Science, or Economics

Experience in Azure

Experience with Azure Devops or GitHub

Understanding of terraform or infrastructure as code

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