Pay
In line with similar jobs
$105K–$165K against $118K–$193K, the middle half of what similar US postings state.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Software Engineering - Lead Data Scientist
Work from Home, United States
Actively hiring, first seen by us 5 days ago- Pay
$105,000–165,000/year · BaseAnnual period assumed — pay source
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. The targeted base pay range for this role is: $105,000 to $165,000 with this range reflecting differences in candidate knowledge, skills and experience. Why Make a Move to FICO?
Read the full posting- Work setting
Remote — work setting source
Listed location: Work from Home, United States
Read the full posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingBuild and maintain Python data pipelines that clean and transform large datasets
Develop ML models such as propensity, churn, segmentation, and forecasting
Deploy models to AWS for batch and real-time scoring, with drift monitoring and retraining
Design, evaluate, and improve LLM prompts and integrate Generative AI into applications
Design and analyze A/B tests to measure business impact
From the employer’s posting
Build and maintain Python data pipelines that ingest, clean, and transform large datasets
Develop machine learning models, such as propensity, churn, segmentation, and forecasting
Deploy models to production in AWS for batch and real-time scoring, monitor performance and drift, and automate retraining
Design, evaluate, and improve LLM prompts, and integrate Generative AI capabilities into existing applications
Design and analyze A/B tests to measure business impact
Education & alternatives
What We’re Seeking - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field, with demonstrated experience in data science, machine learning engineering, or applied AI, including models running in production. - Strong Python for data engineering and ML (pandas, NumPy, scikit-learn, PySpark), with comfort working in Jupyter notebooks.
Posting record
Report an errorActively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 30, 20265 days ago
- Recorded sightings
- 6
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 5
Early. Similar jobs usually come down between day 7 and day 55.
From 9,971 similar postings that came down. Coming down is not always a hire.
Fair Isaac is hiring
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- MLflow
- Redshift
- S3
- SageMaker
- Spark
- Airflow
- NumPy
- pandas
- PySpark
- PyTorch
- scikit-learn
- TensorFlow
- XGBoost
Where the posting names them
What You’ll Contribute - Build and maintain Python data pipelines that ingest, clean, and transform large datasets into reliable, analysis-ready data and ML features. - Profile and validate data, and put quality checks in place so models and analyses can be trusted.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field, with demonstrated experience in data science, machine learning engineering, or applied AI, including models running in production. - Strong Python for data engineering and ML (pandas, NumPy, scikit-learn, PySpark), with comfort working in Jupyter notebooks. - Proven experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies, plus expert SQL skills for complex queries on large datasets.
- Strong Python for data engineering and ML (pandas, NumPy, scikit-learn, PySpark), with comfort working in Jupyter notebooks. - Proven experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies, plus expert SQL skills for complex queries on large datasets. - Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch.
- Develop machine learning models, such as propensity, churn, segmentation, and forecasting, from problem framing through evaluation. - Deploy models to production in AWS for batch and real-time scoring, monitor performance and drift, and automate retraining. - Design, evaluate, and improve LLM prompts, and integrate Generative AI capabilities into existing applications.
- Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch. - Experience operationalizing ML models, including deployment, monitoring, retraining, and CI/CD (SageMaker, MLflow, Docker, or similar), and running data and ML workloads in AWS (S3, Glue, Lambda, Bedrock, or similar). - Experience with LLMs (Claude, OpenAI GPT, or similar), including prompt design, evaluation, and deploying Generative AI solutions in production.
- Production ownership, including code review, release management, and mentoring, with the ability to explain technical results to non-technical partners. - Experience with RAG workflows, vector stores, MCP server integrations, LLM fine-tuning, workflow orchestration (Airflow, Step Functions), or regulated consumer data such as credit and financial services is a plus. Our Offer to You
- Proven experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies, plus expert SQL skills for complex queries on large datasets. - Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch. - Experience operationalizing ML models, including deployment, monitoring, retraining, and CI/CD (SageMaker, MLflow, Docker, or similar), and running data and ML workloads in AWS (S3, Glue, Lambda, Bedrock, or similar).
Your next step
Complete your application on fico.wd1.myworkdayjobs.com. The employer’s form will show what is required.
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Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
FICO (NYSE: FICO) is a leading global analytics software company, helping businesses in 100+ countries make better decisions. Join our world-class team today and fulfill your career potential!
The Opportunity
The myFICO (Scores B2C) engineering team is seeking a Lead Data Scientist to build and run machine learning and Generative AI solutions in our consumer applications. This lead-level software engineering role builds the data pipelines that prepare large datasets for modeling, develops ML models and puts them into production with monitoring and retraining, and measures business impact through experimentation. You will also set ML engineering best practices for the team.
What You’ll Contribute
- Build and maintain Python data pipelines that ingest, clean, and transform large datasets into reliable, analysis-ready data and ML features.
- Profile and validate data, and put quality checks in place so models and analyses can be trusted.
- Develop machine learning models, such as propensity, churn, segmentation, and forecasting, from problem framing through evaluation.
- Deploy models to production in AWS for batch and real-time scoring, monitor performance and drift, and automate retraining.
- Design, evaluate, and improve LLM prompts, and integrate Generative AI capabilities into existing applications.
- Design and analyze A/B tests to measure business impact, and explain results to product and marketing partners.
- Lead design discussions and code reviews, mentor engineers and analysts, and set ML engineering best practices.
- Partner with database engineering, product management, and InfoSec to build secure, compliant solutions that handle sensitive consumer data responsibly.
- Use AI coding assistants and agentic workflows, such as Claude Code, Cursor, and GitHub Copilot, to accelerate delivery while reviewing and refining their output.
What We’re Seeking
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field, with demonstrated experience in data science, machine learning engineering, or applied AI, including models running in production.
- Strong Python for data engineering and ML (pandas, NumPy, scikit-learn, PySpark), with comfort working in Jupyter notebooks.
- Proven experience building data pipelines and processing large datasets with Spark, Redshift, or similar technologies, plus expert SQL skills for complex queries on large datasets.
- Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch.
- Experience operationalizing ML models, including deployment, monitoring, retraining, and CI/CD (SageMaker, MLflow, Docker, or similar), and running data and ML workloads in AWS (S3, Glue, Lambda, Bedrock, or similar).
- Experience with LLMs (Claude, OpenAI GPT, or similar), including prompt design, evaluation, and deploying Generative AI solutions in production.
- Strong grounding in statistics, experimental design, and hypothesis testing.
- Production ownership, including code review, release management, and mentoring, with the ability to explain technical results to non-technical partners.
- Experience with RAG workflows, vector stores, MCP server integrations, LLM fine-tuning, workflow orchestration (Airflow, Step Functions), or regulated consumer data such as credit and financial services is a plus.
Our Offer to You
- An inclusive culture strongly reflecting our core values: Act Like an Owner, Delight Our Customers and Earn the Respect of Others.
- The opportunity to make an impact and develop professionally by leveraging your unique strengths and participating in valuable learning experiences.
- Highly competitive compensation, benefits and rewards programs that encourage you to bring your best every day and be recognized for doing so.
- An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie.
- The targeted base pay range for this role is: $105,000 to $165,000 with this range reflecting differences in candidate knowledge, skills and experience.
Why Make a Move to FICO?
At FICO, you can develop your career with a leading organization in one of the fastest-growing fields in technology today – Big Data analytics. You’ll play a part in our commitment to help businesses use data to improve every choice they make, using advances in artificial intelligence, machine learning, optimization, and much more.
FICO makes a real difference in the way businesses operate worldwide:
• Credit Scoring — FICO® Scores are used by 90 of the top 100 US lenders.
• Fraud Detection and Security — 4 billion payment cards globally are protected by FICO fraud systems.
• Lending — 3/4 of US mortgages are approved using the FICO Score.
Global trends toward digital transformation have created tremendous demand for FICO’s solutions, placing us among the world’s top 100 software companies by revenue. We help many of the world’s largest banks, insurers, retailers, telecommunications providers and other firms reach a new level of success. Our success is dependent on really talented people – just like you – who thrive on the collaboration and innovation that’s nurtured by a diverse and inclusive environment. We’ll provide the support you need, while ensuring you have the freedom to develop your skills and grow your career. Join FICO and help change the way business thinks!
Learn more about how you can fulfil your potential at www.fico.com/Careers
FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply.
Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy
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- Pay
An engaging, people-first work environment offering work/life balance, employee resource groups, and social events to promote interaction and camaraderie. The targeted base pay range for this role is: $105,000 to $165,000 with this range reflecting differences in candidate knowledge, skills and experience. Why Make a Move to FICO?
- Location & working pattern
Work from Home, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
Learn more about how you can fulfil your potential at www.fico.com/Careers FICO promotes a culture of inclusion and seeks to attract a diverse set of candidates for each job opportunity. We are an equal employment opportunity employer and we’re proud to offer employment and advancement opportunities to all candidates without regard to race, color, ancestry, religion, sex, national origin, pregnancy, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Research has shown that women and candidates from underrepresented communities may not apply for an opportunity if they don’t meet all stated qualifications. While our qualifications are clearly related to role success, each candidate’s profile is unique and strengths in certain skill and/or experience areas can be equally effective. If you believe you have many, but not necessarily all, of the stated qualifications we encourage you to apply. Information submitted with your application is subject to the FICO Privacy policy at https://www.fico.com/en/privacy-policy