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Remote Football Data Science Jobs in Oregon (NOW HIRING)

Director, Data Science Operations

OR · Remote

$160K - $226K/yr

Location(s) Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ ... Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create ...

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Data Scientist

OR · On-site +1

$75K - $140K/yr

Remote or onsite, we are committed to ensuring you are fully engaged and included in our collaborative environment. IMPACT YOU'LL MAKE As a Data Scientist at BECU, you'll help shape how we understand ...

This position is open to remote or hybrid. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Mine and ... Translate business and operational needs into scalable data science solutions and modeling ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

... join our core Panel Science team. Our team is dedicated to building an uncompromising ... This is a remote-friendly opportunity that can sit in NYC (where our headquarters is located), one ...

Data Scientist I or II (MAD-BS-OR)

Hillsboro, OR · On-site +1

$121K - $167K/yr

Hybrid (+50% Remote) - Remote 60% / Onsite 40% EXPECTED PAY RANGE: Data Scientist I: $99,608 - $136,961 annually Data Scientist II: $121,673 - $167,301 annually This pay range is for the position ...

Senior Data Scientist

OR · On-site +1

Master's degree in Data Science, Machine Learning, Statistics, or a related field, or; * nine (9) ... Full remote flexibility. Working at SOSi All interested individuals will receive consideration and ...

Senior Data Scientist

OR · Remote

$84K - $112K/yr

Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ... Bonus Structure #LI-Remote Requisition #: 342510 Life at Lumen Life at Lumen is human and connected ...

Open to Remote LMI is a new breed of digital solutions provider dedicated to accelerating ... Bachelor's degree in data science, mathematics, statistics, economics, computer science ...

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Remote Football Data Science information

What is the difference between Remote Football Data Science vs Remote Sports Data Analyst?

AspectRemote Football Data ScienceRemote Sports Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of football analyticsDegree in Sports Management, Data Analysis, or related; familiarity with sports data
Work EnvironmentRemote, often collaborative with football teams or analytics firmsRemote or on-site, working with sports organizations or media outlets
Industry UsagePrimarily in football clubs, analytics companies, or sports tech startupsMedia, broadcasting, or sports organizations analyzing various sports

Remote Football Data Science focuses specifically on football analytics, requiring specialized knowledge of football metrics and data science skills. In contrast, Remote Sports Data Analysts work across multiple sports, analyzing diverse datasets. Both roles often work remotely and require similar analytical credentials, but their industry focus and specific expertise differ.

What is a Remote Football Data Scientist?

A Remote Football Data Scientist is a professional who analyzes football (soccer or American football) data to provide insights that help teams, organizations, or media make informed decisions. They use statistical analysis, machine learning, and data visualization techniques to evaluate player performance, predict outcomes, and optimize strategies—all while working remotely. These professionals often collaborate with coaches, scouts, analysts, and other stakeholders by sharing their findings through reports and digital platforms. The role requires strong skills in programming, mathematics, and domain knowledge of football. Working remotely allows them to contribute from anywhere, often using cloud-based tools and virtual collaboration platforms.

What are the typical challenges faced by remote football data scientists, and how can they effectively collaborate with coaching and analytics teams?

Remote football data scientists often face challenges in accessing real-time data, maintaining clear communication across different time zones, and ensuring their analyses align with the needs of coaches and analysts. To overcome these hurdles, it's important to establish regular virtual meetings, use collaborative tools like shared dashboards, and maintain clear documentation of methodologies and findings. Building strong relationships with on-site team members and staying proactive in communication can significantly enhance collaboration and ensure that data-driven insights effectively support team strategies.

What are the key skills and qualifications needed to thrive as a Remote Football Data Scientist, and why are they important?

To thrive as a Remote Football Data Scientist, you need a solid background in statistics, data analysis, and programming (often in Python or R), typically supported by a relevant degree in data science, mathematics, or a related field. Familiarity with sports analytics platforms, machine learning frameworks, and database systems like SQL is commonly required, as are certifications in data analysis or analytics. Strong problem-solving abilities, effective communication, and the capacity to collaborate virtually are vital soft skills for success in this remote, data-driven environment. These skills and qualities enable accurate insights, informed decision-making, and seamless teamwork, ultimately driving competitive advantage for football organizations.
What are the most commonly searched types of Football Data Science jobs in Oregon? The most popular types of Football Data Science jobs in Oregon are:
What job categories do people searching Remote Football Data Science jobs in Oregon look for? The top searched job categories for Remote Football Data Science jobs in Oregon are:

Director, Data Science Operations

Kemper

OR • Remote

$160K - $226K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago


Job description

Location(s)

Chicago, Illinois, Chicago, Illinois, Remote-AK, Remote-AL, Remote-AR, Remote-AZ, Remote-CA, Remote-CO, Remote-CT, Remote-DE, Remote-FL, Remote-GA, Remote-HI, Remote-IA, Remote-ID, Remote-IL, Remote-IN, Remote-KS, Remote-KY, Remote-LA, Remote-MA, Remote-MD, Remote-ME, Remote-MI, Remote-MN {+ 26 more}

Details

Director, Data Science Operations sought by Merastar Insurance Company in Chicago, IL. 40 hrs./wk. Duties include: Analyze, estimate & define data transformation req. to load data into EDW, Snowflake, Postgres, S3 (enterprise production & custom-built analytics environment). Create ETL architecture & design flows to illustrate data mvmt from production to analytics environments (new & legacy AWS analytics environments). Design & develop database code software. Analyze project & make strategy for analytics data solutions & AI model support & deployment. ETL & analytics S3 storage projects. Lead analytics/data science ETL projects. Lead team. Evaluate organization's tech. needs, create POCs for new implementation or tech. enhancement & recommend improvements. Remote working benefits available. Can work from anywhere in U.S. MIN REQ: Bach. degree, or foreign equiv., in Comp Sci, Eng'g, Math, Physics or related field. 10 yrs exp. in job offered or as Database Architect or Data Warehousing Specialist. SPECIAL SKILLS: 10 yrs exp w/ SQL & adapt skills in multiple relational tech. (Redshift, Hive, SparkSQL etc.); event oriented, Reactive architectures. 8 yrs exp w/ Python data skills w/ Pandas, & XML/JSON parsing. 5 yrs exp w/ AWS tech. Redshift, Glue, DynamoDB, S3; streaming platforms such as Spark Streaming, Flink & workflow mgrs such as Airflow; at least one ETL tool such as Informatica, Pentaho, SAP, etc. 2 yrs exp implementing at scale, messaging sys. such as Amazon Kinesis or Apache Kafka; languages such as Java or Scala. Travel: Up to 5% short-term, domestic travel may be involved to attend industry conferences. Wage range: $160,555 to $226,500. When determining candidate offers, we consider exp., skills, education, certifications, & geographic location among other factors. This job is eligible for an annual discretionary bonus and benefits (Medical, Dental, Vision, PTO, 401k, etc.). Email resume to Jennifer Brown, HR Services Lead: Jennifer.brown@kemper.com. List R-26-0037133 on resume.