Kubernetes à United States

As the Data Science Team Lead, you will be developing tools and technologies that leverage Data from a variety of sources to increase supply chain efficiencies and provide value to our customer.

• Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth.
• Oversee the implementation of Continuous Integration / Continuous Deployment (CI / CD) pipelines, ensuring deliverables meet project milestones and quality standards.
• Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects.
• Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives.
• Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies.
• Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes.
• Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals.
• Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms.

Experience in people and / or project management activities.

Utilized multiple data science methodologies.

Presented to non-technical audiences.

Researched and implemented new Data Science techniques.

Have worked autonomously and delivered results on schedule.

Degree in Data Science, Computer Science, Engineering, Science, Information Systems and / or equivalent formal training plus work experience

BS & 7+ years of work experience

MS & 6+ years of work experience

Proficient with machine learning and statistics.

Proficient with Python, deep learning frameworks, Computer Vision, Spark.

Have produced production level algorithms.

Proficient in researching, developing, synthesizing new algorithms and techniques.

Excellent communication skills.

Master’s or PhD level degree

7+ years of work experience in a data science role

Proficient with cloud computing environments, Kubernetes, etc.

Familiarity with Data Science software & platforms (e.g. Databricks)

Software development experience

Research and new algorithm development experience

Demonstrable experience of machine learning techniques and algorithms

Experience with statistical techniques and CRISP-DM lifecycle.

Commercial experience or experimental Jupyter notebooks to production.

Production ML Experience : Deployed models that serve real users, ability of scale to million users without incurring technical debt.

Strong programming skills in Python and familiarity with ML libraries and frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar.

MLOPS experience with tools such as Drift, Decay, A / B Testing. Integration and Differential testing, python package building, code version etc.

Experience with data pipeline creation and working with structured and unstructured data.

Familiarity with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) preferred.

Excellent problem-solving skills combined with the ability to communicate complex technical concepts to non-technical stakeholders.

Ability to mentor team of Data Scientists, Machine Learning Engineers and Data Engineers with strategy making capability.

Hybrid Remote

Adaptabilité, Adaptabilité, Apprentissage machine, Bitbucket, Cloud Infrastructure (Aws), Développement de talent, Direction inclusive, Engagement avec les parties concernées, Établissement des priorités, Feedback, Git, Innovation, Inspiring Others, Intelligence émotionnelle, Interprétation de données, Learn From Mistakes, Littératie numérique, Mentorat, Motiver les équipes, Outils SQL, Plateforme Databricks, Prise de décision fondée sur les données, Python (langage de programmation), Réflexion stratégique, Révisions de code {+ 1 supplémentaire(s)}

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.