Senior Data Scientist

About Company

Tudip Technologies Pvt. Ltd is a CMMI Level 5 extreme technology company. Careers at Tudip Technologies are not just jobs, but a promise of a bright and dynamic future. Tudip provides ample opportunities to grow within the company technically and as a technocrat by promoting entrepreneurship. Tudip Technologies’ careers will enable you to help clients enhance and improve while you build your career. We are a place that defines Integrity, Innovation, and Serenity. Tudip provides you a better platform that transforms an individual into an experienced and immensely skilled professional through an ethical and vibrant business environment. We are here for effective client servicing, taking care of our employees’ needs, and creating a success story to remember.

Roles & Responsibilities

We are looking for a Senior Data Scientist to join the Data Science Client Services team to continue our success of identifying high quality target audiences that generate profitable marketing return for our clients. We are looking for experienced data science, machine learning and MLOps practitioners to design, build and deploy impactful predictive marketing solutions that serve a wide range of verticals and clients. The right candidate will enjoy contributing to and learning from a highly talented team and working on a variety of projects.

Please read the job criteria below and drop us an email at [email protected] OR create an account on our Recruitment Portal to get started.

We are looking for a Senior Data Scientist Who Will be Responsible for

• Ownership of design, implementation, and deployment of machine learning algorithms in a modern Python-based cloud architecture
• Design or enhance ML workflows for data ingestion, model design, model inference and scoring
• Oversight on team project execution and delivery
• Establish peer review guidelines for high quality coding to help develop junior team members’ skill set growth, cross-training, and team efficiencies
• Visualize and publish model performance results and insights to internal and external audiences

Qualifications

• Masters in a relevant quantitative, applied field (Statistics, Econometrics, Computer Science, Mathematics, Engineering)
• Minimum of 5 years of work experience in the end-to-end lifecycle of ML model development and deployment into production within a cloud infrastructure (Databricks is highly preferred)
• Proven ability to manage the output of a small team in a fast-paced environment and to lead by example in the fulfilment of client requests
• Exhibit deep knowledge of core mathematical principles relating to data science and machine learning (ML Theory + Best Practices, Feature Engineering and Selection, Supervised and Unsupervised ML, A/B Testing, etc.)
• Proficiency in Python and SQL required; PySpark/Spark experience a plus
• Ability to conduct a productive peer review and proper code structure in Github
• Proven experience developing, testing, and deploying various ML algorithms (neural networks, XGBoost, Bayes, and the like)
• Working knowledge of modern CI/CD methods