Data Scientist

KPI Partners; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,800,000 - 2,400,000; Full time

Job summary

KPI Partners in Hyderabad is hiring a Data Scientist to design, develop and deploy predictive models and algorithms using advanced statistics and ML frameworks. You will own end-to-end model development, from data preparation and feature engineering to production integration in retail contexts.

You will collaborate with business, product and engineering teams to understand objectives, translate problems into ML solutions, quantify impact, and present actionable insights to stakeholders across

Qualifications

• Bachelor's degree in data science or related field; master's preferred.
• 6–8 years of data science experience with model development in retail (Fashion/CPG).
• Experience building ML & DL solutions at production scale.
• Strong communication with business/product teams to translate problems into ML solutions.
• Proficiency in Python and data manipulation libraries (Pandas, NumPy).
• Expertise in ML frameworks (TensorFlow, PyTorch, Scikit-learn) and stats.

Responsibilities

• Model Development: Design, develop, and implement predictive models and algorithms using statistics and ML frameworks.
• Business Impact: Collaborate with stakeholders to align models with business goals and measurable impact.
• Data Analysis: Explore, clean, and transform data to prepare datasets for modeling with high quality.
• Collaboration: Work with cross-functional teams to integrate models into production systems and monitor performance.
• Communication: Present findings to technical and non-technical audiences, providing actionable insights.
• Innovation: Stay updated with trends to enhance modeling practices and methodologies.

Skills

Python

Pandas

NumPy

TensorFlow

PyTorch

Scikit-learn

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Master’s preferred

Job description

Job Description

As our Data Scientist extraordinaire, you'll be wielding the mighty powers of numbers and machine learning like a superhero! Your mission? To craft mind-blowing predictive models and algorithms that will conquer complex business challenges and leave a global footprint of awesome impact.

Responsibilities:

• Model Development:Design, develop, and implement predictive models and algorithms using advanced statistical techniques and machine learning frameworks.
• Business Impact:Collaborate with stakeholders to understand business objectives, identify key metrics, and ensure model outcomes align with strategic goals and drives measurable impact.
• Data Analysis:Conduct thorough data exploration, cleaning, and transformation to prepare datasets for modeling efforts, ensuring high data quality and accuracy.
• Collaboration:Work with cross-functional teams, including engineering, product management, and business teams, to integrate models into production systems and monitor performance.
• Communication:Present findings to technical and non-technical audiences, providing actionable insights and recommendations to drive business strategy.
• Innovation:Stay up to date with the latest trends and advancements in data science and machine learning to continuously enhance modeling practices and methodologies.

Required Experience and Skills Our Must haves

• Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master’s preferred.
• 6-8 years of experience in data science with a strong focus on model development and algorithm design in the retail domain such as Fashion or CPG.
• Experience of building Machine Learning & Deep Learning solutions in large production scale environment.
• Strong communication and requirement gathering skills from business and product teams is a must with capability of understanding complex business problems and designing right ML solutions.
• Must have deep understanding of at-least couple of Retail/CPG use cases such as customer segmentation, recommendations, demand forecasting, sentiment analysis, inventory optimization, promotion uplift modeling, campaign analysis, churn prediction etc.
• Proficiency in programming languages such as Python, and experience with data manipulation libraries (e.g., Pandas, NumPy).
• Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and statistical analysis.

Core Competencies

• Strong problem-solving skills with a proactive approach to optimisation.
• Excellent communication skills and ability to collaborate across global teams and time zones.
• Experience in designing and implementing Data Science best practices and frameworks.