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Full-Time

Project Manager

Data Science

Posted on 5/28/2024

Swish Analytics

Swish Analytics

51-200 employees

Sports analytics and optimization tools provider

Fintech
AI & Machine Learning

Compensation Overview

$90k - $120kAnnually

Senior, Expert

Remote in USA

Category
Project Management
Business & Strategy
Required Skills
Python
Communications
Management
SQL
JIRA
Asana
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Management Information Systems, Statistics, or related field.
  • 5+ 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.
Responsibilities
  • 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

Swish Analytics specializes in sports analytics and optimization tools specifically for daily fantasy sports and sports betting in the U.S. market, focusing on major leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing users with accurate sports predictions and optimized lineups. This helps individual bettors and fantasy sports players make informed decisions about their bets and picks. Swish Analytics differentiates itself from competitors by being an Authorized MLB Data Distributor, which enhances its credibility and access to data. The company operates on a subscription-based model, allowing users to start with a free trial and choose from various plans for different levels of access. The goal of Swish Analytics is to maximize return on investment for its clients by identifying not only winning bets but also the most strategic bets that balance risk and reward for long-term success.

Company Stage

Series C

Total Funding

$29.8M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

22%

1 year growth

28%

2 year growth

70%
Simplify Jobs

Simplify's Take

What believers are saying

  • Swish Analytics' machine learning system can significantly improve users' ROI by identifying the smartest bets, making it highly attractive for serious sports bettors.
  • Partnerships with major leagues and sportsbook platforms can lead to increased credibility and market reach.
  • The company's focus on major U.S. sports leagues ensures a large and engaged user base, providing ample growth opportunities.

What critics are saying

  • The highly competitive nature of the sports analytics market means Swish Analytics must continuously innovate to stay ahead.
  • Reliance on partnerships with major leagues and platforms could pose risks if these relationships are disrupted.

What makes Swish Analytics unique

  • Swish Analytics leverages advanced machine learning to provide highly accurate sports predictions, setting it apart from competitors who rely on traditional statistical methods.
  • Their partnership with Major League Baseball as an Authorized MLB Data Distributor gives them exclusive access to high-quality data, enhancing the accuracy of their analytics.
  • The subscription-based model with a free trial option makes their advanced tools accessible to a wide range of users, from casual bettors to professional operators.

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