Data Scientist - (Computer Vision)

{
  "content_hash": "8b5ab47a66527532789cd2c2d0c6d49a43bca1e8b776e7f8de38d803dc9b67ce",
  "source_hash": "da68728eb6cee343cd6a7d0d1d1ff14ebfc0ef332a065ed1871cf4add368a342",
  "last_changed_at": "2026-06-04T11:44:10.799Z",
  "active_status": "deleted"
}

{
  "language": "en",
  "location": {
    "raw": "Newry, County Down, BT35, United Kingdom",
    "city": "Newry",
    "region": "County Down",
    "country": null,
    "is_remote": true,
    "confidence": 0.8
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-02T10:53:05.366Z",
  "launch_scope": {
    "reason": "bamboohr_production_catalog",
    "included": true,
    "location": {
      "raw": "Newry, County Down, BT35, United Kingdom",
      "city": "Newry",
      "region": "County Down",
      "country": null,
      "is_remote": true,
      "confidence": 0.8
    },
    "countries": []
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}

{}

{
  "list_job": {
    "id": "184",
    "isRemote": null,
    "location": {
      "city": "Newry",
      "state": "County Down"
    },
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "province": null
    },
    "departmentId": "19094",
    "locationType": "2",
    "jobOpeningName": "Data Scientist - (Computer Vision)",
    "departmentLabel": "Data Science",
    "employmentStatusLabel": "Full-Time"
  },
  "detail_errors": [],
  "detail_job_opening": {
    "location": {
      "city": "Newry",
      "state": "County Down",
      "postalCode": "BT35",
      "addressCountry": "United Kingdom"
    },
    "datePosted": "2026-04-09",
    "atsLocation": {
      "city": null,
      "state": null,
      "country": null,
      "countryId": null
    },
    "description": "<p><span style=\"font-weight: bold\">Contract: </span>Full-Time, Permanent</p>\n<p><span style=\"font-weight: bold\">Desired Start Date: </span>March/April</p>\n<p><span style=\"font-weight: bold\">Location:</span> Both hybrid and remote opportunities with travel for business/project needs</p>\n<p><br><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">About STATSports:</span></p>\n<p><span style=\"font-size: 12pt\">What if the product you helped to build next week was worn by an elite athlete the week after?</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">At STATSports, that could be your reality.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">Since 2007, we’ve grown from a small Irish start-up into the global leader in GPS performance tracking, trusted by the world’s biggest clubs, leagues, and athletes. Our technology sits at the intersection of hardware, software, and sport, helping teams optimise performance, reduce injury risk, and unlock insights that were previously impossible.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\">But just as importantly, our products support the next generation of athletes, from academies to grassroots, giving them access to the same performance tools as the pros.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 10pt\"><span style=\"font-size: 12pt\">Innovation has always driven us forward, and it’s our people who make that happen</span>.</span></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\">The opportunity:</span></p>\n<p><span><span>We are expanding our data science team to include a dedicated computer vision capability. </span><span>This role </span><span>is ideal for a candidate who </span><span>has delivered temporal multi-object tracking and detection systems and understands the full lifecycle from development through to production. You will lead the technical direction of this work, define what we build and how, and play a key role in shaping a growing</span><span> computer vision</span><span> team around you.</span></span><span> </span></p>\n<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\"><span><span>What You Will Be Doing</span></span></span><span>:</span></span></p>\n<ul>\n<li><span><span>Leading the development of multi-object tracking and detection systems from video across multiple sports</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Defining event taxonomies and annotation strategies for sports-specific training data</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Building and deploying tracking pipelines, including handling occlusion, re-identification, and camera calibration</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Designing the output data structures and formats that integrate with our existing GPS and IMU products</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Collaborating with sports scientists, product owners, and software engineers to translate performance requirements into technical solutions</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><br></span></span></p>\n<p><span style=\"font-size: 14pt; font-weight: bold\"><span><span>What We Are Looking For:</span></span></span></p>\n<ul>\n<li><span><span>Production experience in computer vision, with a focus on multi-object tracking and detection. Experience in sport is a strong bonus</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Deep understanding of temporal reasoning across video sequences, including re-identification, track association, and handling occlusion</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with video-native C</span><span>omputer </span><span>V</span><span>ision</span><span> pipelines</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Understanding of camera geometry, pitch or court calibration, and object localisation from single or broadcast cameras</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Proficiency</span><span> in Python and deep learning frameworks </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Experience with cloud platforms </span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Strong communication</span><span> skills: you will work closely with non-technical stakeholders including coaches and sports scientists</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span><br><span style=\"font-size: 14pt\">Nice to Have (But Not Essential):</span></span></span></span></p>\n<ul>\n<li><span><span>Computer vision e</span><span>xperience </span><span>in </span><span>sports</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Familiarity with how tracking and event data is structured and consumed by clubs, analysts, and performance staff</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Background in biomechanics, pose estimation, or signal processing from IMU/GPS sensors</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>MLOps</span><span> experience: model versioning, monitoring, and CI/CD for CV pipelines</span></span><span> </span></li>\n</ul>\n<p><span style=\"font-weight: bold\"><span><span><br><span style=\"font-size: 14pt\">What's In It for You</span></span></span></span><span style=\"font-size: 14pt\">:</span></p>\n<ul>\n<li><span><span>A hands-on role where your work directly influences products used in elite sport</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>The opportunity to work with </span><span>cutting-edge</span><span> datasets and develop innovative ML/AI solutions</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Exposure to the full software lifecycle, from data ingestion to deployment in production</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>Collaboration with engineers, product owners, and data specialists in a supportive, high-performance team</span></span><span> </span></li>\n</ul>\n<ul>\n<li><span><span>The chance to see your work applied to real-world athlete performance and decision-making</span></span><span> </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Equal opportunity employer:</span></span></p>\n<p><span style=\"font-size: 12pt\"><span>STATSports is an equal opportunity employer. If you feel you would be </span><span>a great addition</span><span> to the team and are excited by the prospect of forging an impactful career with us, we would love to hear from you. We would particularly welcome applications from women and underrepresented groups. </span></span><span style=\"font-size: 12pt\"><span> </span></span><span style=\"font-size: 12pt\"><br></span><span style=\"font-size: 12pt\"><span> </span><br></span><span style=\"font-size: 12pt\"><span>No one wins unless everyone wins! </span></span><span style=\"font-size: 12pt\"><span> </span></span><span style=\"font-size: 12pt\"><br></span><span style=\"font-size: 12pt\"><span> </span><br></span><span style=\"font-size: 12pt\"><span>We believe that diverse teams have the greatest impact, so we really care about creating a diverse and inclusive environment. At </span><span>STATSports</span><span>, no one wins unless everyone wins, so </span><span>we’re</span><span> focused on creating a team where everyone feels they belong. We welcome people from all backgrounds, with different perspectives, </span><span>ideas</span><span> and experiences to work with us. If you do, </span><span>you'll</span><span> be joining an environment where everyone has an equal opportunity to share their opinion, </span><span>showcase</span><span> their skills, develop their career and be part of a caring and inclusive team.</span></span></p>\n<p><br></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-weight: bold\">Why STATSports:</span></span></p>\n<p><span style=\"font-size: 12pt\"><span>We’re</span><span> still a small business that happens to be the world leader in our field, which means you can be a part of something big</span><span>. </span></span><span style=\"font-size: 12pt\"><span>Working at </span><span>STATSports</span><span>, </span><span>you’ll</span><span> have a real impact and see directly how the day-to-day work you do makes a difference in sport at the elite level.</span></span></p>\n<p><span style=\"font-size: 12pt\"><br></span><span style=\"font-size: 12pt\"><span>You’ll collaborate with a world-class team and be given the freedom to innovate, </span><span>create</span><span> and deliver at the highest level. If this excited you, then we would love to hear from you!</span></span></p>",
    "compensation": null,
    "departmentId": "19094",
    "locationType": "2",
    "seekPromoted": false,
    "jobCategoryId": null,
    "jobOpeningName": "Data Scientist - (Computer Vision)",
    "departmentLabel": "Data Science",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Mid-level",
    "jobOpeningShareUrl": "https://statsports.bamboohr.com/careers/184",
    "employmentStatusLabel": "Full-Time"
  }
}