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Technical Project Manager

Roles & Responsibilities

  • Bachelor's degree in Computer Science, Data Science, Management Information Systems, Statistics, or a related field
  • 3+ years of project management experience focused on data science and/or data engineering projects
  • Proven track record delivering complex projects on time and within budget, with strong leadership and communication skills
  • Proficiency with project management tools (e.g., Asana or Jira) and hands-on experience with data science tools (Python, SQL, AWS)

Requirements:

  • Collaborate with cross-functional teams to define, prioritize, and execute data science and data engineering initiatives aligned with business objectives
  • Define and document project scope, goals, and deliverables in collaboration with senior management and stakeholders
  • Develop full-scale project plans, manage the data science backlog, and prioritize work based on evolving requirements
  • Communicate project status, milestones, risks, and dependencies to stakeholders and senior leadership, using tools like Asana or Jira

Job description

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.

This position is 100% Remote

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.

Duties:

  • 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

Requirements:

  • 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.

Salary: Starting at $100,000

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.

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