Amazon Web Services (AWS)
Machine Learning (ML)Your Experience at a Glance
We’re hiring a Data Scientist for our client delivers advanced data, analytics, and digital transformation solutions to help organizations modernize and drive business insights.
As a Data Scientist, you will play a key role in developing and deploying demand forecasting and pricing models, leveraging advanced statistical and machine learning techniques. You will collaborate closely with data engineers and business stakeholders to extract, transform, and analyze large datasets, ensuring robust and scalable solutions. This position requires strong ownership of model development, from data pipeline integration to model evaluation and reporting. Your work will directly impact business decision-making and operational efficiency, contributing to KPIP’s mission of enabling data-driven transformation.
KPIP is a global consulting and technology services firm specialising in data, analytics, and digital transformation. Serving a diverse range of industries, KPIP empowers organisations to modernize their data ecosystems and unlock actionable business insights. The company is recognized for its expertise in delivering scalable solutions, fostering a culture of innovation, and driving measurable impact for clients worldwide.
Key Responsibilities
● Develop and implement demand forecasting and pricing models using advanced statistical and machine learning techniques.
● Extract, transform, and analyze large datasets using Python and SQL to support model development and business insights.
● Collaborate with data engineers to build and maintain robust, scalable data pipelines for model training and inference.
● Apply regression, classification, time-series forecasting, ensemble methods, and feature engineering to solve business problems.
● Work with business stakeholders to understand requirements and translate them into actionable data science solutions.
● Create automated reports and dashboards to present and track model outputs and performance.
● Continuously evaluate and improve model accuracy and effectiveness based on business feedback and new data.
● Document methodologies, processes, and results to ensure transparency and reproducibility.
● Stay updated with the latest advancements in data science and machine learning to drive innovation within the team.
Required Skills
● Proven experience in demand forecasting and predictive modeling.
● Strong proficiency in Python, including pandas, NumPy, scikit-learn, and TensorFlow or PyTorch.
● Expertise in SQL for data extraction and transformation.
● Solid understanding of statistical and machine learning techniques such as regression, classification, time-series forecasting, ensemble methods, and feature engineering.
● Ability to analyze and interpret large, complex datasets to generate actionable insights.
● Experience collaborating with data engineers to develop scalable data pipelines.
● Strong problem-solving skills and attention to detail.
● Excellent communication skills for presenting technical concepts to non-technical stakeholders.
Nice to Have
● Experience with customer segmentation, recommendation systems, and sentiment analysis.
● Knowledge of inventory optimization, promotion uplift modeling, and campaign analysis.
● Familiarity with churn prediction models.
● Proficiency in Power BI for creating automated reports and dashboards.
● Experience in developing and maintaining data pipelines for model training and inference.
Why Join?
Join to work on impactful data science projects that drive real business outcomes and innovation. You’ll tackle complex technical challenges, collaborate with talented professionals, and have opportunities for continuous learning and growth, fosters a culture of collaboration, excellence, and data-driven decision-making, empowering you to make a meaningful difference in a dynamic environment.
About the Employment Model
Direct Hire (Client Payroll) : For this role, you’ll be hired directly by the client and be part of their internal team. Straatix supports the hiring process, but your employment, payroll, and benefits are all managed by the client.
Shubham Vishwakarma
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About Straatix Partners
About
Straatix Partners is your Trusted Sherpa for Setting up, Scaling up and Transforming Remote Global Centres of Excellence (GCoE).
Our team brings proven experience in setting up and scaling GCoEs not just in terms of operations but also global leadership experience across engineering, product, finance, business strategy and HR.
Our deep understanding of local operations, and a network of vetted partners accelerates your journey and de-risks your plans.
We offer proven and ready-to-use operating templates to mitigate risks along your path. We firmly believe that a one-size-fits-all approach doesn't work. Our consultative engagement process ensures you get tailored and personalised solutions.
Website: https://www.straatix.com
Candid answers by the company
We specialize in setting-up and scaling GCoEs. Our services ensure a seamless transition and sustained engineering excellence. Explore our comprehensive range of offerings below.
- Inception: Unlock your company's potential, in India, with expert consultancy services tailored to de-risk your incorporation and governance.
- Workspace: Elevate your workspace experience with our tailored solutions, laying the foundation for your long-term scaling journey.
- Talent: Our expert advisory services enable you to attract, hire, engage and grow the right talent -helping you build your most strategic asset.
- Replicate Engineering Excellence: Foster high performing remote engineering teams with our focused and in-depth change management advisory.
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