Data Scientist

4 weeks ago


Bengaluru, India GeekLurn Full time
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/forecastCustomer segmentation & churn predictionProduct pricing modelsPersonalized offer/promotion campaign management models to improve customer retentionPersonalized product recommendationsCustomer feedback analysisInventory controlMarketing insight modelsMust 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 skillsNice to haves :Experience in the IT field is a real plusAnalytical mind and business acumenProblem-solving aptitudeExcellent communication and presentation skillsBSc/Engineering in STEM fields or a relevant fieldHands 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)


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