CAREERSFORGE / YOUR NEXT MOVE
Ignis Your Career Coach & Workspace
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Your next career move starts here
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Readiness · Getting started
Activities recorded · 0
PRIVATE, IN-BROWSER TOOL
Decode a Rejection Email
Paste only what you’re comfortable reviewing. This tool matches common wording in your browser; it does not save the email, send it to AI, or know why the employer made its decision.
Wording found in the email
Possible meaning — not a fact about this decision
Three practical next steps
60-SECOND CLARITY ROUND
Spot the Red Flag
These are illustrative practice snippets, not quotes from real employers. A phrase alone does not prove a workplace is harmful; use it as a prompt to ask for specifics.
Choose the wording that needs a follow-up question. Clear scope, documented onboarding, and reasonable boundaries are useful context too.
Use the explanation as a conversation starter, not as a verdict on a company.
Quick Start: How Ignis Works
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1. Build or Scan
Create or review a resume.
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2. Train Your Focus
Try a short exercise and review your practice score.
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3. Consult Ignis
Use your recorded results to plan a next step.
Your next step with Ignis
Ask Ignis to connect your recorded results and suggest one practical next step.
Your next step starts here
Your performance radar unlocks after your first recorded activity. Complete a 2-minute mock interview or scan a resume to generate your report.
Career Health Radar
Complete a resume review or a Brain Training session to see your results here.
Readiness labels summarize recorded practice. They are planning cues, not hiring predictions or a measure of job suitability.
Strengths and priorities
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Open Interview Practice →Top matched roles
Compare your evidence with a role in Job Radar to calculate a match.
Activity mix
Your next step starts here
Your practice dashboard unlocks after your first recorded activity. Begin with a short interview or resume review, then explore your daily sprint and training.
Daily Career Sprint
Daily Confidence Pill
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TODAY’S CHALLENGE
One small practice, chosen for today
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Brain Training
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Skill scores average the latest result from each played exercise in that category. Open a category to see each exercise.
YOUR ROLE, YOUR NEXT MOVE
Job Radar
Explore published opportunities, filter by your priorities, and open a listing to review its requirements and apply. Choose “Open match details in Workspace” to compare your analyzed resume with the role and plan your next step.
Tool preparation
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Open roles
1,417 jobs found · Showing 1–12
ROLE MATCH
Data Scientist II (Soccer) at Teamworks
Review your resume for this role →
{"title":"Data Scientist II (Soccer) at Teamworks","requirements":["Proficiency in SQL to join, transform, and validate large, structured datasets used in model development","You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)"],"description":"We\u0027re hiring a Data Scientist II on our Soccer team to develop the statistical and machine learning models our partner clubs use for player recruitment. I\u0027m Jacob Mortensen, Senior Manager, Data Science at Teamworks. Our team primarily focuses on building models using both player tracking data and event data to identify undervalued players and characterize the skills that make them effective. The work supports high-stakes recruitment decisions for professional clubs across global football.\nThe team is managing growing demand from partner clubs alongside model maintenance and new development. This hire will take ownership across the model lifecycle, from design and validation through deployment and improvement. That added capacity will help us move important initiatives forward while keeping our existing models accurate and reliable.\nThe Role\n\n\n3+ years of professional or research experience developing statistical or machine learning models in Python or R, with examples of work you personally owned from problem formulation and data preparation through validation and use\n\n\nStrong applied statistical and modeling judgment: you can select appropriate methods, explain their assumptions and trade-offs, and distinguish meaningful predictive signal from artifacts in the data\n\n\nExperience designing rigorous model evaluations, including preventing data leakage, choosing validation strategies appropriate to temporal or grouped data, quantifying uncertainty, and assessing performance across relevant player populations and contexts\n\n\nExperience building models with sports tracking data, including working with spatial and temporal relationships, noisy or incomplete observations, and the data-quality challenges that affect model reliability\n\n\nAbility to write maintainable, tested, and reproducible analytical code, using version control and code review to support collaborative development\n\n\nProficiency in SQL to join, transform, and validate large, structured datasets used in model development\n\n\nExperience taking models beyond exploratory notebooks into repeatable workflows or production systems, collaborating with engineering and investigating issues as models are used\n\n\nAbility to explain modeling decisions, limitations, and results clearly to technical teammates and professional soccer clubs\n\n\nWhat I\u0027m Looking For\nWhat You Must Bring\n\n\n3+ years of professional or research experience writing code in R or Python for data science, statistics, or machine learning work\n\n\nComfort with SQL for building and querying structured data\n\n\nStrong data science fundamentals: you understand how models work, what they need from the data, and how to set data up to support them\n\n\nExperience working with sports tracking data, including understanding the kinds of models typically built and the data challenges that come with them\n\n\nStrong communication skills \u2014 you\u0027ll be explaining modeling decisions directly to partner clubs, not just internal teammates\n\n\nEven Better If\n\n\nYou have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)\n\n\nYou have a demonstrated track record of tackling hard problems through published research, blog posts, conference talks, or public projects\n\n\nExperience using a cloud compute provider (e.g. AWS or Google Cloud) to train and deploy models\n\n\nComfort using AI coding tools, paired with the judgment to recognize when their output needs to be questioned or corrected\n\n\nWhy This Role\nSoccer analytics is moving quickly, and this team is helping shape how advanced modeling is used in recruitment. You\u0027ll have meaningful ownership, room to develop new approaches, and the opportunity to see your work used by professional clubs. You\u0027ll also help define how the team builds, maintains, and scales its model portfolio as demand grows.\n\nThis role is not eligible for sponsorship at this time.\n\nPlease submit your application through this posting only. We\u0027re unable to review applications or resumes sent via email, LinkedIn, or other channels.\n\nTo all recruitment agencies: Teamworks does not accept agency resumes. Please do not forward resumes to our jobs alias, Teamworks employees or any other organization location. Teamworks is not responsible for any fees related to unsolicited resumes.\nAbout Teamworks\nWe\u0027re the Operating System for Sports\u2122, powering 7,000+ organizations worldwide, from collegiate programs to every major pro league. Founded in 2006, we\u0027ve evolved from a messaging tool for college football into the leading sports tech platform, with 600+ global teammates building the future of sports tech. Our solutions span Personnel, Coaching, Performance, Operations, and Intelligence - helping teams recruit smarter, train better, stay compliant, and win.\nTeamworks is an equal opportunity employer - if you live our core values every day and are honest, hardworking, humble, committed, innovative, and an all-around exceptional person, you\u0027ll thrive at Teamworks. We are committed to building a diverse and inclusive workforce and take affirmative action to not discriminate based on race, religion, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other legally protected characteristics. This policy applies to all employment practices within our organization, including but not limited to recruiting, hiring, promotion, termination, compensation, benefits, and training. Teamworks is committed to providing reasonable accommodations for candidates with disabilities who need assistance during the hiring process. To request a reasonable accommodation, please email [email protected]."}0%
Resume evidence match
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The percentage summarizes matching terms in the resume and role criteria. Review the requirements, experience level, qualifications, and application instructions before applying.
Analyze my resume →Signals found in your resume
Signals to review or strengthen
Review the listing criteria
- Proficiency in SQL to join, transform, and validate large, structured datasets used in model development
- You have direct experience with soccer data or soccer analytics (inside a team, public work, or academically)
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