Data Science QA Analyst at Impact Radius, Inc.

Job description

The Role

Our dynamic culture, winning team environment, exceptional people, and best-in- class technology have all contributed to the success and exponential growth of Impact Radius. People are our most valuable asset, and we are committed to hiring and retaining the best in the industry. We are more than a company, we are a community of professionals who are dedicated to excellence. Bring your best game, and we will provide you with the opportunity to thrive.

As Data Science QA Analyst you will be a key team player within an exciting, fast-growing organization that is known for innovative data science and big data technology. You will support the Data Science team by ensuring that Impact Radius’ product quality requirements are fulfilled. Our close-knit, friendly work environment offers ongoing opportunity for career growth.

Responsibilities:

• You will drive continuous improvement in test protocols, enhanced reporting and issue detection methods.
• Perform and evaluate trend analyses, and reviews of validation, procedures, deviations, data and model output errors, out-of- specification results, corrective and preventive actions and associated documentation.
• Provide key assistance in resolving technical support related tickets for products supported by the algorithmic data science models.
• Conduct routine data auditing to ensure accurate model data input feeds.
• Conduct testing of data science modeling output to ensure high quality outcome to the customer.
• Continuous monitoring data science model input and output processes to detect anomalies or issues.
• Develop utility modules in R and/or Python to boost product development team productivity.
• Assist in creating documentation of the data issues.
• To conduct various data researches in discovering root cause of issues.

Requirements:

• Bachelor’s Degree in Engineering, Quantitative Studies, Business Studies or Economics.
• 1+ years’ Computer programming (R, Python) experience.
• 1+ years’ SQL database query scripting experience.
• 1+ years’ Data wrangler experience.
• 1+ years’ Linux command line and scripting experience.
• Understanding of statistical testing and validation methods.
• Ability to quickly detect anomaly in data.
• Familiarity with continuous improvement methodology and SDLC.
• Proficient spreadsheet applications (Excel, Google sheet) experience.
• Knowledge of big data methods and tools will be a big plus.

Soft Skill Requirements:

• Teamwork, strong work ethic, reliability and ‘can-do’ attitude is Currency at Impact Radius.
• Continuous improvement mindset.
• Excellent communication and teamwork skills.
• Proven ability to multi-task in a dynamic environment.
• Excellent documentation skills.