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.
- Robust 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.

📌 Data Scientist (Hyderabad)
🏢 KPI Partners
📍 Hyderabad