• Senior Data Scientist

Location Karnataka Bangalore
Experience Range 8 - 10 Years
Not active

Skills SQL, Snowflake, Experience in Machine Learning, Strong in Python Sr. Developer
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.
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 & Chandigarh, India. We offer a comprehensive IT services portfolio and drive digital transformation across Banking & Financial Services, Insurance, Healthcare, Retail & Logistics, and Energy, Utilities & Manufacturing sectors. EVRY India's process and project maturity is very high — the two offshore development centers in India are appraised at CMMI DEV Maturity Level 5 & CMMI SVC Maturity Level 5 and certified under ISO 9001:2015 & ISO/IEC 27001:2013
Roles and Responsibility

Job Description for Data Scientist:

         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

         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


Recruiter Name Sonal Palam
Recruiter Email Id Welcome01*
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