Job Description

We are looking for a Data Scientist/Machine Learning expert, who will support our clients with insights gained from analyzing their data. The data will be related to software testing from SDLC. The ideal candidate is skilled at using large data sets to find opportunities for process optimization and using models to test the effectiveness of different courses of action. Create new ai/ml use cases based on client data and need. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/ running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Responsibilities for Data Scientist:

• Work with stakeholders throughout the organization and client to identify opportunities for leveraging company data to drive business solutions.
• Consult on ai/ml offerings and present the findings from data science activities.
• Mine and analyze data from client databases to drive optimization and improvement of use case development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize QA and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Requirements

Must Haves:

• 8+ Year\xe2\x80\x99s Experience in Data Science, AI/ML and total IT experience of 12+ years.
• R language experience is a must.
• Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
• Demonstrated experience data retrieval from various SDLC systems and analytic reporting databases.
• Familiarity with databases and database query languages such as MySQL, Access, and SQL.
• Experience with NLP algorithms such as LSA, LDA, and QNLI. Experience with JIRA, Confluence, and GitHub.
• Knowledge of software engineering and structured software development.
• Ability to learn new AI/ML tools and use them effectively.
• Ability to interface effectively with client and work constructively on a team.
• Excellent verbal and written communications skills.
• Demonstrated ability performing statistical data analysis.

Nice to Haves (Preferred):

• Experience with cloud computing environments and data science tools such as AWS, SageMaker, GCP and Databricks would be a plus.
• Experience with Python would be additional qualification.

Benefits

Why Qualitest?

• Founded in 1997,

offers a wide range of digital quality solutions designed to provide enterprise customers with end-to-end quality management services across the software lifecycle. Qualitest achieves this by deploying engagement models tailored to the precise quality engineering needs of technology platforms in the financial services, health services, telecom, technology, retail, media, gaming, and utilities industries. It has operations in the US, UK, India, Germany, Romania, Israel, Argentina, Mexico, Switzerland, and Portugal, and serves over 400 blue-chip customers worldwide. * We provide industry-leading managed services that drive Quality for
of hardware devices, software apps and experiences as well as Ground Truth Data Services for artificial intelligence (AI) and machine learning (ML) * Be a part of a company who strives to support for diversity and inclusion in the workplace \xe2\x80\x93 we are one, we are many at Qualitest. Celebrate culture, share knowledge with engineers from around the globe, and inspire each other through our differences. We have more than 40% women and around 120 different nationalities.

• Local and global opportunities \xe2\x80\x93 we offer you internal rotation and international mobility opportunities to grow your career.
• Clear view of your career and progression with the company \xe2\x80\x93 Qualitest is growing massively (since 2021 \xe2\x80\x93 tripled our employees base \xe2\x80\x93 we now have more than 8,000 engineers) and giving you the opportunity to grow with us.
• Work hard and play harder with our flexible and casual culture. Take a break from work and join an employee event, or enjoy the amenities and games provided from one of our Employees Centers.
• Never stop experimenting and learning with QCraft \xe2\x80\x93 our Learning & Development platform: 50,000+ courses, 300+ virtual labs, mentorship and leadership programs, professional tribes, sponsored certifications, and much more
• Earn bonuses via our Client Referral and Employee Referral Program\xe2\x80\x99s. Refer and earn \xe2\x80\x93 tap your network for net-worth.
• We recognize our employees work via our Qudos platform - You can earn bonuses and spot awards by celebrating your and your peers\xe2\x80\x99 achievements.
• A Competitive pay, the salary range for the role is $130,000 - $165,000.
• Save your earnings and prepare for your future by enrolling in our 401k plan where Qualitest will match your contributions accelerating your savings plan.
• Life and disability insurance.
• Take care of your health with enrollment into one of our competitive healthcare benefits.

Intrigued to find out more about us?

• Visit our website at
• Check out our Career page:

If you like what you have read, send us your resume and let\xe2\x80\x99s start talking!

Qualitest