Data Scientist
Prompt DairyTech
Date: 3 weeks ago
City: Ahmedabad, Gujarat
Contract type: Full time
Key Responsibilities
Data Analysis & Preparation:
Collect, clean, and preprocess large datasets from multiple FMCG sources (e.g., sales, marketing, supply chain, customer feedback).
Perform exploratory data analysis (EDA) to identify trends, patterns, and key business insights.
Machine Learning & AI
Design, develop, and deploy supervised and unsupervised learning models (e.g., regression, classification, clustering, recommendation systems, demand forecasting).
Build and fine-tune AI-driven solutions for market segmentation, product recommendation and sales prediction.
Implement and optimize time series forecasting models for inventory and demand planning.
Business Insights & Reporting
Translate data insights into actionable recommendations for business stakeholders in marketing, operations, and finance.
Develop dashboards and visualizations using Power BI, Tableau, or Python (matplotlib/seaborn/Plotly).
Cross-functional Collaboration
Work closely with business teams to define key performance indicators (KPIs) and evaluate campaign effectiveness.
Partner with IT and data engineering teams to improve data pipelines and automate reporting processes.
Model Deployment & Monitoring
Deploy machine learning models using cloud platforms (AWS, Azure, or GCP).
Continuously monitor and improve model accuracy, scalability, and performance.
Education
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Technical Skills
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) or R.
Experience in SQL and working with large relational databases.
Good Understanding Of AI/ML Algorithms Such As
Linear/Logistic Regression
Decision Trees, Random Forest, XGBoost
Clustering (K-Means, DBSCAN)
Neural Networks, Deep Learning
Time Series Forecasting (ARIMA, Prophet, LSTM)
Proficiency in data visualization tools (Power BI, Tableau, or Matplotlib/Seaborn).
Familiarity with cloud platforms (Azure ML, or GCP AI Platform).
Domain Knowledge
Understanding of FMCG business processes, including:
Consumer behavior analytics
Market basket analysis
Sales and demand forecasting
Supply chain optimization
Soft Skills
Strong analytical thinking and problem-solving ability.
Effective communication and storytelling with data.
Ability to work collaboratively with business and technical teams.
Preferred Qualifications
Experience with A/B testing and marketing analytics.
Exposure to MLOps and version control (Git).
Knowledge of NLP or computer vision use cases in retail/FMCG.
Data Analysis & Preparation:
Collect, clean, and preprocess large datasets from multiple FMCG sources (e.g., sales, marketing, supply chain, customer feedback).
Perform exploratory data analysis (EDA) to identify trends, patterns, and key business insights.
Machine Learning & AI
Design, develop, and deploy supervised and unsupervised learning models (e.g., regression, classification, clustering, recommendation systems, demand forecasting).
Build and fine-tune AI-driven solutions for market segmentation, product recommendation and sales prediction.
Implement and optimize time series forecasting models for inventory and demand planning.
Business Insights & Reporting
Translate data insights into actionable recommendations for business stakeholders in marketing, operations, and finance.
Develop dashboards and visualizations using Power BI, Tableau, or Python (matplotlib/seaborn/Plotly).
Cross-functional Collaboration
Work closely with business teams to define key performance indicators (KPIs) and evaluate campaign effectiveness.
Partner with IT and data engineering teams to improve data pipelines and automate reporting processes.
Model Deployment & Monitoring
Deploy machine learning models using cloud platforms (AWS, Azure, or GCP).
Continuously monitor and improve model accuracy, scalability, and performance.
Education
Required Skills & Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Technical Skills
Strong programming skills in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) or R.
Experience in SQL and working with large relational databases.
Good Understanding Of AI/ML Algorithms Such As
Linear/Logistic Regression
Decision Trees, Random Forest, XGBoost
Clustering (K-Means, DBSCAN)
Neural Networks, Deep Learning
Time Series Forecasting (ARIMA, Prophet, LSTM)
Proficiency in data visualization tools (Power BI, Tableau, or Matplotlib/Seaborn).
Familiarity with cloud platforms (Azure ML, or GCP AI Platform).
Domain Knowledge
Understanding of FMCG business processes, including:
Consumer behavior analytics
Market basket analysis
Sales and demand forecasting
Supply chain optimization
Soft Skills
Strong analytical thinking and problem-solving ability.
Effective communication and storytelling with data.
Ability to work collaboratively with business and technical teams.
Preferred Qualifications
Experience with A/B testing and marketing analytics.
Exposure to MLOps and version control (Git).
Knowledge of NLP or computer vision use cases in retail/FMCG.
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