Senior Data Scientist

Title: Sr. Data Scientist

Location: Remote

Duration: 12 month contract

Required Skills & Experience

• Minimum five years of relevant work experience.

• Experience designing and developing machine learning solutions using a variety of data sources.

• Strong programming skills, especially in Python .

• Expertise in customizing Modern ML systems, including optimization and forecasting.

• Experience deploying models into production

• Experience and functional familiarity with software development and data engineering best practices.

• Expert in mathematical models underlying data science methods, understanding the trade-offs between different solutions

. • Demonstrated ability to communicate with both business and technical audiences effectively and concisely.

• Experience with DevOps tools such as git, Docker, Datadog, etc.

• Experience with distributed cloud computing platforms, Kubernetes or the Hadoop/Spark ecosystem

Nice to Have Skills & Experience

• Experience in supply chain

. • Experience in building AI applications.

Job Description

We're looking for a Senior Data Scientist to join our growing eCommerce team and sit remotely within the US. When you join us, you’ll build machine learning systems, uncover game-changing insights and use state-of-the-art techniques to shape and execute our global eCommerce growth agenda. You will work with internal business stakeholders and strategic partners to identify opportunities for collaborative development and foster a data-driven culture between relevant teams.

Responsibilities:

• Work on state-of-the-art large-scale data analytics and machine learning projects.

• Work within a leading eCommerce organization to analyze large data sets and develop custom models/algorithms to uncover trends, patterns, and insights.

• Establish standards for writing clean, organized machine learning code to streamline machine learning workflow within the DS team.

• Provide critical expertise to enhance organizational capabilities by utilizing variety of data sets.

• Work with business stakeholders to identify and execute opportunities for enhancement.

• Create documentation and best practices to share with the ML community

Compensation: $65.00-70.00/HR