Data Scientist - Bengaluru, India - QA InfoTech

QA InfoTech

Verified Company

Bengaluru, India

2 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

3 must haves:

AI / ML 4/5

Data science 4/5

Requirements:

Create new AI & ML use case implementations based on client data and problem statements
Have strong experience using a variety of data mining & analysis methods, using a variety of data tools to build, implement & execute models & simulations
Have a proven ability to drive business results with their data-based insights and model outputs
Be comfortable working with a wide range of stakeholders and functional teams.
Have a passion for discovering solutions hidden in large data sets

Responsibilities for Data Scientist

Work with stakeholders throughout the organization to identify opportunities to leverage data to drive business solutions.

Mine and analyse data from client systems to implement use cases

Assess the effectiveness and accuracy of new data sources and data gathering techniques.

Use predictive modelling to increase and optimize QA and other business outcomes

Test and assure the quality of AI & ML models, their effectiveness and fitness for purpose

Coordinate with different functional teams to implement models and monitor outcomes.

Develop processes and tools to monitor and analyse model performance and data accuracy.

Must Have

3+ Year's Experience in Data Science, AI/ML and total IT experience of 5+ years

Experience implementing learning models and Data Science techniques in either R or Python

Ability to learn new AI/ML tools and languages and use them effectively

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.

Demonstrated experience in data retrieval from various SDLC systems and analytic reporting databases.

Familiarity with databases and database query languages such as MySQL, Oracle SQL, MS SQL, MongoDB

Experience with R, Python, and other programming languages.

Knowledge of software engineering and structured software development.

Ability to interface effectively with client and work constructively on a team.

Demonstrated ability performing statistical data analysis.

Excellent verbal and written communications skills.

Desirable Experience

Experience with NLP algorithms such as LSA, LDA, and QNLI

Experience with Deep Learning for Machine Vision

Familiarity with common SDLC tools such as JIRA, Confluence, Azure DevOps and GitHub

Familiarity with cloud computing environments and data science tools such as AWS, SageMaker, GCP and Databricks

Benefits:

Why QualiTest?

Have continuous access to and work with Senior Testing Specialists and Practice Experts
Be a part of a leading testing company, globally recognized as a Visionary by Gartner Magic Quadrant
Work with cutting edge technology in a company built by testers for testers, this is what we do
As a global company, we offer unique placement opportunities around the world
Our QualiTesters are the reason for our success, we constantly encourage career development and promote from within

Intrigued to find more about us?