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Full-Time

Project Manager

Data Science

Confirmed live in the last 24 hours

Swish Analytics

Swish Analytics

51-200 employees

Machine learning for US sports betting

AI & Machine Learning
Consumer Goods
Data & Analytics

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 is renowned for its advanced machine learning systems designed for the US sports betting and fantasy markets. This company stands out due to its specialized focus on providing algorithm-driven predictions and tools for NBA, NFL, MLB, and NHL. It excels in risk management and trading software, making it a top choice for professionals in the sports betting industry.

Company Stage

Series C

Total Funding

$29.8M

Headquarters

San Francisco, California

Founded

2014

Growth & Insights
Headcount

6 month growth

10%

1 year growth

22%

2 year growth

97%