QA Data Scientist

Chennai or Remote

At FourKites we have the opportunity to tackle complex challenges with real-world impacts. Whether it’s medical supplies from Cardinal Health or groceries for Walmart, the FourKites platform helps customers operate global supply chains that are efficient, agile and sustainable.

Join a team of curious problem solvers that celebrates differences, leads with empathy and values inclusivity

We are seeking a highly skilled and analytical Quality Assurance Data Scientist to join our team. The primary responsibility of this role is to ensure the quality, accuracy, and reliability of our data-driven products and services by leveraging advanced data science techniques and statistical methods. The QA Data Scientist will work closely with cross-functional teams, including data engineers, software developers, and product managers, to develop and implement robust quality assurance processes and data validation frameworks.

What you’ll be doing:

  1. Develop and implement data quality assurance strategies and processes to ensure the accuracy, completeness, and consistency of data across various systems and platforms.
  2. Design and execute data validation frameworks, including data profiling, data cleansing, and data integrity checks, to identify and resolve data quality issues.
  3. Collaborate with data engineers to establish data quality metrics and key performance indicators (KPIs) to monitor and measure the effectiveness of data quality initiatives.
  4. Apply statistical methods and machine learning techniques to detect anomalies, outliers, and patterns in large datasets, and provide recommendations for data quality improvements.
  5. Conduct data analysis and generate insights to support data-driven decision making and product development.
  6. Develop and maintain documentation for data quality processes, standards, and best practices.
  7. Participate in code reviews and provide feedback to ensure adherence to data quality standards and best practices.
  8. Stay up-to-date with the latest trends, tools, and techniques in data science and quality assurance, and apply them to improve existing processes and methodologies.

Who you are:

  1. Master's or Ph.D. degree in Computer Science, Statistics, Mathematics, or a related field.
  2. 3+ years of experience in data science, data quality assurance, or a related field.
  3. Strong understanding of statistical methods, machine learning algorithms, and data mining techniques.
  4. Proficiency in programming languages such as Python, R, or SQL, and experience with data analysis libraries and frameworks (e.g., Pandas, NumPy, Scikit-learn).
  5. Experience with data quality tools and frameworks, such as Talend, Informatica, or Apache Griffin.
  6. Knowledge of data warehousing, ETL processes, and data modeling concepts.
  7. Excellent problem-solving and analytical skills, with the ability to think critically and approach problems systematically.
  8. Strong communication and collaboration skills, with the ability to work effectively in a team environment and communicate complex technical concepts to non-technical stakeholders.
  9. Detail-oriented and committed to delivering high-quality work under tight deadlines.

Who we are:

FourKites® is the #1 supply chain visibility platform in the world, extending visibility beyond transportation into yards, warehouses, stores and beyond. Tracking more than 2.5 million shipments daily across road, rail, ocean, air, parcel and courier, and reaching over 185 countries, FourKites combines real-time data and powerful machine learning to help companies digitize their end-to-end supply chains. More than 1,000 of the world’s most recognized brands — including 9 of the top-10 CPG and 18 of the top-20 food and beverage companies — trust FourKites to transform their business and create more agile, efficient and sustainable supply chains.  

FourKites provides competitive compensation with stock options, outstanding benefits and a collaborative culture for all employees around the globe. To help you be your best, we have 5 global recharge days, in addition to standard holidays, and a hybrid, flexible approach to work. Parental leave for all parents, an annual wellness stipend and volunteer days also provide you with time and resources for self care and to care for others. Throughout the year, FourKites sets aside time during the workday to learn and celebrate diversity. And we're always listening for new ways to support everyone in and out of the office. 

Benefits 

  • Medical benefits start on first day of employment
  • 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days 
  • Home Office setups and Technology reimbursement
  • Lifestyle & Family benefits 
  • Annual Swags/ Festive Swags
  • Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Computer Science Data analysis Data Mining Data quality Data Warehousing ETL Informatica KPIs Machine Learning Mathematics NumPy Pandas Python R Scikit-learn SQL Statistics Talend

Perks/benefits: Career development Competitive pay Equity Flex vacation Health care Home office stipend Medical leave Parental leave Startup environment Wellness

Regions: Remote/Anywhere Asia/Pacific
Country: India
Job stats:  17  6  0
Category: Data Science Jobs

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