Data Scientist (5 Years Experience)

SherTech Information Services; Mumbai; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

A technology services company in Mumbai is seeking a Senior Data Scientist to design and develop intelligent agents and optimize AI models. Candidates should have at least 5 years of experience in data science, strong programming skills in Python and R, and a degree in a relevant field. This role offers a dynamic environment focused on innovation and collaboration.

Qualifications

• 5+ years of experience as a Data Scientist.
• Proficient in statistical methods and predictive analytics.
• Ability to manage multiple projects independently.

Responsibilities

• Design and develop intelligent agents using LangChain and LangGraph.
• Build and optimize data models focused on generative AI.
• Collaborate with teams to integrate AI solutions.

Skills

Python

R

Machine Learning

Data Visualization

Problem Solving

Communication

Education

Bachelor’s degree

Master’s or Ph.D. in Data Science or related field

Tools

Tableau

Alteryx

LangChain

LangGraph

GCP

AWS

Azure

Job description

Senior Data Scientist - Global Data and Analytics

We are looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. You are a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.

Key Responsibilities:

• Responsible for designing, developing, and deploying intelligent agents using LangChain and LangGraph frameworks to optimize conversational AI workflows.
• Build, deploy, and optimize data models focused on generative AI and large language models.
• Create and refine methods to measure AI model performance and impact.
• Collaborate with product and engineering teams to integrate AI solutions (e.g., Gemini, OpenAI, Azure AI).
• Stay current on advances in data science, machine learning, and generative AI.
• Mentor junior data scientists and engineers.
• Communicate clearly with stakeholders, presenting insights and recommendations.
• Apply statistical, econometric, and machine learning methods to generate actionable insights and support decision-making.
• Identify, integrate, and leverage key data sources to enhance analytics.
• Develop scalable data structures and analytic products.
• Lead end-to-end analytics projects including data gathering, feature creation, modeling, deployment, and monitoring.
• Provide insights to encourage data-driven decision-making throughout the organization.
• Mentor teams on data science best practices and contribute thought leadership through blogs or articles.
• Develop and deliver training on analytics tools and data science techniques (e.g., Alteryx, Tableau).
• Explore and apply new data science tools and methodologies to maintain innovation.

Qualifications:

• Bachelor’s degree required; advanced degree (Master’s or Ph.D.) in Data Science, Statistics, Econometrics, Computer Science, or related field strongly preferred.
• 5+ years of professional experience as a Data Scientist, particularly within areas such as Sales, Finance, Product, Strategy, or Marketing in the software or technology industry.
• Strong programming skills in Python and R, including familiarity with advanced analytics libraries and frameworks.
• Expertise in a wide array of statistical methods, econometrics, machine learning algorithms, artificial intelligence, and predictive analytics.
• Proven experience developing scalable analytic data strategies and robust analytic products.
• Proficiency with visualization tools such as Tableau and experience in business analytics platforms like Alteryx.
• Familiarity with data pipelines, ETL processes, cloud databases, data warehouses (e.g., Snowflake), and data lakes.
• Experience deploying analytics solutions in cloud environments (GCP, AWS & Azure).
• Strong communication skills, with the ability to clearly articulate complex analytic concepts and results to business stakeholders.
• Excellent problem‑solving and interpersonal skills, capable of independently managing multiple projects in a dynamic environment.

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