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Job Type

Full Time

Job Description

About the Company :

Headquartered in California, U.S.A., GSPANN provides consulting and IT services to global clients. We help clients transform how they deliver business value by helping them optimize their IT capabilities, practices, and operations with our experience in retail, high-technology, and manufacturing. With five global delivery centers and 1900+ employees, we provide the intimacy of a boutique consultancy with the capabilities of a large IT services firm.


Strategic purpose of the position:

The Data Scientist leverages data and machine learning to generate insights, improve decision-making, and drive innovation. Beyond model development, this role plays a key part in building and integrating AI-powered solutions into business processes. The Data Scientist collaborates with AI Data Engineers and software teams to deploy ML models into production applications, ensuring seamless AI adoption across the organization.


Experience : 6 - 12yrs


Personal qualifications / competencies:

  • Strong analytical skills
  • Proven experience in data science, statistical modeling, and machine learning
  • Strong programming skills in Python or R and familiarity with libraries (e.g., Scikit-learn, XGBoost, PyTorch, TensorFlow, Pandas, NumPy)
  • Experience with data visualization and storytelling using tools like Power BI/Tableau or Python dashboards (Dash, Streamlit)
  • Proficient in querying and transforming data using SQL / noSQL and working with structured/unstructured datasets
  • Understanding of business processes and ability to translate problems into analytical solutions
  • Hands-on experience with data pipelines, ETL/ELT processes, and orchestration tools (e.g., ADF)
  • Familiarity with MLOps practices and cloud platforms (e.g., Azure, AWS)
  • Hands-on experience with cloud-based AI services, including Azure AI, Copilot Studio, and AI Foundry are advantageous


Educational / minimum requirements:

Master’s degree in Data Science, Statistics, Mathematics, Computer Science or related field. Certifications in machine learning or analytics are advantageous.


Job responsibilities:

  • Identify opportunities to apply data science across business functions
  • Develop predictive and prescriptive models for use cases in commercial, supply chain, and operations
  • Work with large datasets to clean, analyze, and visualize key trends and drivers
  • Collaborate with business stakeholders to frame and deliver data-driven insights
  • Deploy models and monitor their performance over time
  • Work with AI Data Engineers and software teams to integrate ML models into AI-driven applications.
  • Document methodologies and share findings with technical and non-technical audiences
  • Contribute to scaling AI capabilities across the organization



Why choose GSPANN

“We GSPANNians” are at the heart of the technology that we pioneer. We do not service our customers, we co-create.


With the passion to explore solutions to the most challenging business problems, we support and mentor the technologist in everyone who is a part of our team. This translates into innovations that are path-breaking and inspirational for the marquee clients, we co-create a digital future with.


GSPANN is a work environment where you are constantly encouraged to sharpen your abilities and shape your growth path, We support you to become the best version of yourself by feeding your curiosity, providing a nurturing environment, and giving ample opportunities to take ownership, experiment, learn and succeed.


We’re a close-knit family of more than 1900 people that supports one another and celebrates successes, big or small. We work together, socialize together, and actively serve the communities we live in.

We invite you to carry forward the baton of innovation in technology with us.


At GSPANN, we do not service. We Co-create.

Discover your inner t

Accelerate your learning

Feel included

Inspire and Be Inspired

Enjoy Life

Give Back -


We invite you to carry forward the baton of innovation in technology with us.

Let’s Co-create.

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