Data Scientist

We Are Very Much a Data Centric Company And We Have Data (sales/purchase/operation) Logs From Day 1. Currently, We Have Large Volumes Of Time Series/text Data And Would Like To Develop Data/ML Models Such As
Sales prediction/forecast
Customer segmentation & churn prediction
Product pricing models
Personalized offer/promotion campaign management models to improve customer retention
Personalized product recommendations
Customer feedback analysis
Inventory control
Marketing insight models
Must haves: - Excellent Python coding skills. Knowledge of the following libraries is a must:

• Pandas
• Scikit learn
• 
  Matplotlib
• NLTK or Spacy
• Numpy & scipy
• Basic knowledge of SQL & Tableau (must for only people who work on data visualization projects)
• Strong understanding of Statistics and basic Machine Learning concepts (e.g., regression, classification, cross validation, regularization, bias-variance tradeoff, model metrics)
• Knowledge on CI/CD tools like GitHub/Bitbucket (Geeklurn/IBM platform certificates needed)
• Basic Linux command/shell scripting knowledge (Geeklurn/IBM platform certificates needed)
• Basic cloud infrastructure knowledge and experience in AWS (Geeklurn/IBM platform certificates needed)
• Basic Excel/Google Sheets skills and good documentation skills
  

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Nice To Haves
Experience in the IT field is a real plus!
Analytical mind and business acumen
Problem-solving aptitude
Excellent communication and presentation skills
BSc/Engineering in STEM fields or a relevant field
Hands on coding experience in more than 1 programming language preferred What we offer:

• Exposure to real world Data Science problems across multiple countries and domains
• Hands on experience on Data problem solving with mentorship from Senior Data Scientists with years of experience in AI/DS product building - Potential to be recruited as full time Data Scientists for DBanyan (post the internship)
• Opportunity to travel to the Netherlands onsite (for better understanding of our business and engagement with the company/its customers)