FedEx Dataworks is hiring for Data Scientist roles at all the levels in US

Position:

• Data Scientist - All Levels

Company:

• FedEx Dataworks

Location:

• 3680 Hacks Cross Road, Memphis, TN 38125-8800, United States

• Remote work available

Job Type:

• Full-time

Job Mode:

• Regular / Remote Worker

Job Requisition ID:

• P25-101260-3

Years of Experience:

• Varies by role level (from 0 to 7+ years)

Company Description:

• FedEx Dataworks, an innovation-focused division of FedEx, is dedicated to integrating physical and digital operations to create a seamless logistics network.

• The company utilizes advanced data analytics to streamline processes, optimize operations, and deliver enhanced services.

• By harnessing real-time data insights, FedEx Dataworks aims to revolutionize supply chain logistics and drive efficiency.

• The organization fosters a culture of innovation, where collaboration between data scientists, engineers, and business professionals leads to impactful solutions.

• FedEx Dataworks plays a crucial role in modernizing logistics through the use of cutting-edge machine learning and artificial intelligence technologies.

• The company actively explores new opportunities to enhance customer experiences and operational performance through data-driven strategies.

Profile Overview:

• The Data Scientist will spearhead major initiatives within FedEx Dataworks, contributing to the development of data-driven solutions and analytical models.

• This role requires a deep understanding of machine learning, statistical analysis, and data engineering to optimize decision-making processes.

• The professional will work closely with cross-functional teams, translating complex business challenges into actionable insights.

• Responsibilities include deploying scalable machine learning models, ensuring data integrity, and enhancing operational efficiency.

• The Data Scientist will lead research efforts to identify innovative approaches for addressing large-scale data challenges.

• Collaboration with software engineers, business analysts, and IT professionals is crucial for the successful implementation of projects.

• The role involves a strong focus on model deployment, continuous learning, and optimization techniques to enhance predictive capabilities.

• By mentoring junior team members, the Data Scientist will foster a culture of knowledge sharing and technical excellence within the organization.

• The position demands a hands-on approach to problem-solving, leveraging advanced statistical techniques and computational tools.

• The professional will drive innovation through the development of reusable data assets, standardized frameworks, and best practices for data science initiatives.

Qualifications:

Data Scientist I:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.

• Minimum of one year of experience in data science, analytics, or a similar role.

• Proficiency in machine learning algorithms and statistical modeling techniques.

• Experience in data wrangling, visualization, and exploratory data analysis.

• Strong programming skills in Python, R, or other relevant languages.

• Familiarity with cloud-based computing and big data technologies.

Data Scientist II:

• Master’s degree in a quantitative field such as Data Science, Artificial Intelligence, or Applied Mathematics.

• Two years of experience applying data science methodologies to real-world business problems.

• Hands-on experience with deep learning frameworks such as TensorFlow or PyTorch.

• Proficiency in handling large datasets and deploying scalable data pipelines.

• Strong analytical and problem-solving skills, with the ability to translate business needs into technical solutions.

• Experience working in an agile, cross-functional team environment.

Data Scientist III:

• Master’s or PhD in Computer Science, Operations Research, or a related field.

• 3-4 years of professional experience in data science, machine learning, and analytics.

• Expertise in statistical analysis, predictive modeling, and data-driven decision-making.

• Advanced knowledge of optimization algorithms and real-time data processing techniques.

• Experience with big data technologies such as Spark, Kafka, and Hadoop.

• Proven ability to design and implement large-scale machine learning models.

• Strong leadership capabilities and experience mentoring junior data scientists.

Data Scientist Lead:

• Master’s or PhD in a relevant field with 5-7 years of experience in data science and analytics.

• Demonstrated expertise in developing end-to-end machine learning solutions for business applications.

• Extensive experience leading data science teams and managing complex projects.

• Strong knowledge of data engineering principles, including CI/CD pipelines and MLOps practices.

• Proficiency in cloud platforms (AWS, Azure, or Google Cloud) for model deployment and scaling.

• Ability to interact with senior stakeholders and influence strategic decision-making through data-driven insights.

• Strong interpersonal skills and the ability to communicate complex technical concepts to non-technical audiences.

Additional Info:

• The compensation range varies based on experience, location, and job level, with an estimated annual salary between $67,520 and $186,240.

• Eligible employees receive comprehensive benefits, including health, vision, and dental insurance.

• The company offers tuition reimbursement programs to support continuous learning and professional development.

• Remote work flexibility is available, depending on business needs.

• The hiring process includes submitting a resume and completing a job screening questionnaire by the application deadline.

• FedEx Dataworks is committed to diversity, equity, and inclusion, ensuring equal opportunities for all applicants.

• The company follows a structured interview process, assessing technical skills, problem-solving abilities, and cultural fit.

• Employees are encouraged to engage in continuous skill enhancement and innovation-driven projects.

• The organization promotes a collaborative work environment where data scientists play a key role in shaping the future of logistics.

• The position offers career growth opportunities, with pathways to leadership roles in data science and analytics.

Please click here to apply.

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