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Role Description

We’re looking for a Technical Project Manager who wants to play a key role in building and guiding the next generation of Swish Data Science products with an eye towards scaling our systems across a growing team. Our goal, as a team, is to create intuitive and powerful cutting-edge applications, and you will be working with a passionate and hard-working team with varying experience levels that fosters a challenging and rewarding environment.

• Closely collaborate with cross-functional teams to define, prioritize, and execute on data science & data engineering initiatives, setting strategic direction, ensuring alignment with business objectives, and driving continuous improvement.
• Defines and documents project scope, goals, and deliverables that support business goals in collaboration with senior management and stakeholders.
• Devising and adapting strategies for executing on necessary goals.
• Communicate project status, updates, and key milestones to stakeholders, including senior management.
• Develops full-scale project plans and associated project & communication artifacts.
• Managing the data science backlog and prioritizing them based on evolving requirements.
• Plans and schedules project timelines and milestones using appropriate tools.
• Assist in the staffing and assignment of resources based on project needs.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Management Information Systems, Statistics, or related field preferred.
• 3+ years of experience in project management, with a focus on data science and/or data engineering projects.
• Proven track record of successfully delivering complex projects on time and within budget.
• Strong leadership and communication skills, with the ability to influence and motivate cross-functional teams.
• Excellent problem-solving and decision-making abilities, with a keen attention to detail.
• Proficiency in project management tools and methodologies, such as Asana or Jira.
• Hands-on experience with data science tools and technologies, such as Python, SQL, AWS, etc.
• Knowledge of machine learning algorithms and techniques is a plus.

Requirements

• Starting at $100,000.

Company Description

Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence. Our challenges are unique, so we hope you are comfortable in uncharted territory and passionate about building systems to support products across a variety of industries and enterprise clients.