Jobs / Job page

This job is expired We're automatically mark job as expired after 180 days of its inactivity

Job details

Senior Data Scientist

Senior Data Scientist

Location Karnataka Bangalore

Experience Range 8 - 10 Years

Open

Skills relevant experience in AI &ML or Data Science

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 & 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

Role:

Build strong working relationships with key business stakeholders in order to identify technical solutions to solve complex business problems.

Define the data science roadmap and own end to end project development, delivery and implementation.

Develop exploratory proof of concept machine learning models following an agile test and learn approach.

Work closely with our data engineers to enhance our model deployment architecture.

Be an expert in the field of data science to mentor and support junior team members.

Continue to develop our data science capabilities through technical research, collaboration with subject matter experts (both internal and external) and new data source identification.

Key Skills:

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 statical techniques QC tools, ANOVA, Hypothesis, Chi Square tests

Experience in creating simple web pages using HTML/ASP.Net

Should have owned at least one ML model's complete life cycle in production. Should have analyzed the performance of this deployed model and deduced prescriptive ML / business actions

Experience with programming languages like Python, analytical packages/libraries like Pandas, Scikit-learn, Seaborn, matplotlib, numpy etc)

Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.

Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.

Using innovative ideas to collect, curate or synthesize data

Familiarity with machine learning frameworks (like Keras or TensorFlow)

Fair knowledge on any RDBMS (MySQL / Oracle /MS SQL)

Benchmark, validate and test the solution for real-world environments

Optimize the solution for accuracy and performance

Experience developing with AI cloud platforms and services (Google cloud, AWS, Azure) is desirable

Must be a self-starter with the ability to manage their own work.

Demonstrated history of successful ML projects

Experience: