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.

As a Senior Data Scientist at Fourkites, you will work with a team of data scientists and engineers with a very broad range of technical skills. You will explore opportunities for using advanced analytics and machine learning to solve the most challenging problems in supply chain visibility. You will also have the opportunity to build scalable AI driven products which are sometimes first in class and help solve key customer pain points in their supply chain operations. Using billions of historic data points in the FourKites’ Big data platform from across different geographies and transportation modes you will be responsible for solving some of the most robust and scalable machine learning problems.

What You’ll Be Doing:

• Be part of a dynamic and innovative data team that tackles complex challenges and drives impactful solutions.
• Act as a bridge between the data engineering and data science teams.
• Understand the existing machine learning (ML) infrastructure and suggest improvements.
• Design, develop, and distribute complex ad hoc reports using open-source or enterprise BI tools.
• Analyze current ML models and recommend changes as needed.
• Identify opportunities for optimization and automation, and encourage the team to utilize Large Language Models (LLMs) or Copilot for competitive advantage.
• Develop models to detect data quality issues and create processes to proactively monitor and alert using various tools.
• Serve as a technical thought leader, working with engineering and product leadership to define strategies and standards for developing ML and analytics-driven products at Fourkites.

Who You Are:

• You have at least 6 years of software development experience.
• You possess hands-on experience with machine learning and data modeling applications.
• You have hands-on experience in Deep Learning frameworks like TensorFlow, PyTorch, etc.
• You have advanced SQL expertise.
• You have experience with Snowflake or Redshift infrastructure.
• You have hands on experience with one of BI tools , such as PowerBI, Tableau, Looker, Sisence or thought-spot
• You are proficient in one or more programming languages, such as Python, Java, or C/C++.
• You have hands-on experience working with different databases, including SQL and NoSQL.
• You have excellent problem-solving skills and logical thinking.
• You have strong communication and data presentation skills.
• Experience working with geospatial data is a plus.

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.)