Full-Time

Project Manager

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Sports analytics and optimization tools provider

Fintech
AI & Machine Learning
Financial Services

Compensation Overview

$110kAnnually

Mid, Senior

Remote in USA

Category
Project Management
Business & Strategy
Required Skills
Python
Data Science
SQL
Machine Learning
AWS
JIRA
Asana

You match the following Swish Analytics's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
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.
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
Desired Qualifications
  • Bachelor's degree in Computer Science, Data Science, Management Information Systems, Statistics, or related field preferred
  • Knowledge of machine learning algorithms and techniques is a plus.

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Their goal is to maximize return on investment for clients by identifying the best bets while balancing risk and reward. Users can access their services through a subscription model, starting with a free trial.

Company Stage

Seed

Total Funding

$6.5M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

0%

1 year growth

-7%

2 year growth

-7%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.
  • The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.
  • Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

What critics are saying

  • Increased competition from AI-driven startups could erode Swish Analytics' market share.
  • Consumer privacy concerns may impact Swish Analytics' data collection practices.
  • Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

What makes Swish Analytics unique

  • Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.
  • The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.
  • Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

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Benefits

Remote Work Options