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Data Scientist


Creative Synergies Group


Location

Bangalore | India


Job description

About Creative Synergies Group:

Global technology services company 40+ Fortune 500 clients 95% revenue from US, Europe, Japan based customers. Current Verticals: Transportation, Energy/Process Industry, Industrial Products, Hi-Tech Product Engineering Services (PES): Digital, Embedded, Mechanical Services Plant Engineering Services (Oil & Gas/ Process / Chemical Industries) Manufacturing Engineering Services (Discrete Manufacturing Industries) Founded by former Michigan State University professor, former Wipro (NYSE: WIT) EDS Chief Executive and serial entrepreneur Dr. Mukesh Gandhi Locations: Headquartered in the U.S., multiple centers of delivery excellence in India (Bengaluru, Pune), branch offices in Germany, the U.K, the Netherlands, and Japan. Culture: Creative is run on a culture of positivity, entrepreneurial spirit, customer centricity, teamwork, and meritocracy

Role: Data Scientist Experience: 3-8 Years Education: ME / MTech / BE / BTech

Technical Skill and Tools Requirement

Python NumPy, Pandas, Matplotlib, TensorFlow/Py torch K-Nearest Neighbours, Naïve Bayes, SVM, Decision tree, XGBoost ETL, SQL OLAP

Roles & Responsibilities

Solve problems using Machine Learning and Deep Learning algorithms in domains such as e-commerce, Edutech, and retail. Play a significant role in enabling adoption of sophisticated algorithms and data mining strategies. Generate new practices and processes for effective ML engineering, in alignment with core subject-matter expertise. Define best practices for code optimization, model and system validation, and model governance.

Desirable Skills

Big Data experience in driving real time analytics. Experience in one or multiple Data Science Platforms such as Data bricks, AzureML, Sage maker Experience in Teradata, Hadoop Knowledge of MLOps platform will be an added advantage.

Other Skills

Experience in analyzing data, understanding trends and pattern, feature engineering. Build Data Pipelines & platform to operationalize Machine Learning models at scale. Proven problem-solving skills. Knowledge of one or more domains such as e-commerce, Edutech, retail.


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