Data Scientist

Location

Bangalore | India

Job description

Data Scientist

Location: Bangalore

Experience Range 6 - 8 Years

Job Description

About Us

EVRY India and EVRY USA are wholly owned subsidiaries of Tietoevry, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. Tietoevry employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. Tietoevry serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, Tietoevry leverages USA and India operations to compete locally as well as globally.

About EVRY USA

EVRY USA delivers IT services to a wide range of customers in the USA through its global delivery centers and India offices (EVRY India) in Bangalore & and Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking and Financial Services, Insurance, Healthcare, Retail and logistics, and Energy, Utilities, and Manufacturing sectors. EVRY India's process and project maturity are very high — the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & and CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013

Roles and Responsibility

Key Responsibilities:

• Experience in Machine Learning, supervised and unsupervised: - Forecasting, Classification, Regression, Text Mining, NLP, Decision Trees, Adaptive Decision Algorithms, Random Forest, Search Algorithms, Gradient algorithms etc
• Exposure to Neural Networks/Deep Learning Algorithms
• Good understanding of basic statistical techniques QC tools, ANOVA, Hypothesis, Chi Square tests
• Experience with Gen AI.
• Strong in Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)
• Working knowledge of PySpark
• Experience developing models in Azure ML and Azure Databricks
• Using innovative ideas to collect, curate or synthesize data.
• Familiarity with machine learning frameworks (like Keras or TensorFlow)
• Very good knowledge on SQL-Joins, indexing, rank vs. dense rank, row number, stored procs, triggers, views, functions etc
• Proficient in SQL and Snowflake
• Optimize the solution for accuracy and performance.
• Hands on Experience creating and deploying ML models.
• Must be a self-starter with the ability to manage their own work.
• Demonstrated history of successful ML projects
• Good communication skills and team player

Job tags

Salary