Data Scientist

About Us

Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 140+ professionals across Machine Learning, Data Engineering & Cloud expertise.

Job Summary/Objective:

• The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes.
• This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience.
• The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.

Key Responsibilities:

• Data Analysis: Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
• Model Utilization: Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
• Interpretation & Communication: Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
• Insights Generation: Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
• Collaboration: Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
• Continuous Improvement: Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.

Required Skills & Qualifications:

• Experience: 3-8 years of experience in data science or a related field, specifically in Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
• Technical Proficiency: Strong skills in data analysis, data visualization, and working with pre-trained ML models.
• Proficiency in Python, and SQL is preferred.
• Business Focus: Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
• Communication Skills: Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
• Problem Solving: Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
• Detail-Oriented: Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
• Educational Background: Bachelors or Masters degree in Data Science, Statistics, Computer Science, or a related field.