Data Scientist

Diamondpick

United States

United States

Postuler Maintenant

À propos

Collaborate with the client in the sport sector to understand their business objectives and challenges and ensure the delivery of high-quality analytics/data science solutions. Design and build end to end machine learning solutions and statistical frameworks across fan behavior. Own the full modeling lifecycle: problem framing, feature engineering, model selection, cross validation and hyperparameter tuning Lead recurring analytical programs with a focus on reproducibility and automation. Partner with data engineering to integrate model outputs into operational systems and stakeholder facing products. Utilize your strong analytical and problem-solving skills to extract meaningful insights from data and contribute to data-driven decision-making. Use variety of analytical tools (SQL, Python) and techniques (regression, decision trees, machine learning concepts etc.) to carry out analyses, create ML models and drive conclusions. Support the integration of data science capabilities for the client to help solve tangible problems with measurable impact. Contribute to the continuous improvement of analyti Administer Adobe Workfront, including configuration, workflows, governance, templates, and user access. Design, implement, and optimize end-to-end workflows, incorporating AI-driven solutions to enhance efficiency and decision-making. Establish governance frameworks to ensure data integrity, consistency, and scalable adoption. Partner with Product Managers to prioritize and translate business needs into Workfront solutions (projects, tasks, reports, dashboards). Create and maintain user stories, requirements, and process documentation. Develop training and support materials to drive adoption and enable self-service. Analyze platform usage, performance, and AI enhancements to identify optimization opportunities. Support UAT and validate configurations against business requirements. Troubleshoot escalated issues (triage, root cause analysis) and coordinate with internal teams and vendors for resolution. Manage vendor relationships, including coordination of third-party deliverables and contract-based work. Act as a Workfront SME, guiding users and promoting best practices. Lead cross-functional collaboration and maintain strong stakeholder relationships. Requirements Proven experience administering Adobe Workfront (required); Adobe Workfront Fusion preferred. Experience implementing AI and automation within enterprise workflows. Experience in enterprise environments with complex workflows and governance. Strong ability to design and implement scalable workflow solutions. Understanding of Product Management principles with interest in growth in this area. Strong analytical, problem-solving, and troubleshooting skills. Experience managing external vendors and supporting contract-based engagements. Excellent communication and stakeholder management skills with a customer-focused mindset. Proven ability to collaborate across business and technical teams. Familiarity with tools such as Jira and Azure DevOps. cs processes and methodologies. Core Skills (Required):
Bachelor's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas 2+ years
of hands-on experience in a data science role with a track record of shipping models into production. Extremely proficient in SQL for robust data extraction and analysis. Strong programming skills in Python. Familiarity with Git and code/data version control. Solid statistical foundation Exposure to NLP techniques for processing unstructured survey data. Excellent communication, problem-solving, and critical thinking skills. Self-started and willingness to take on challenging initiatives Effective time management and attention to detail Familiarity with MLOps concepts

United States

Compétences linguistiques

English

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