{"schemaVersion":"jobsearcher.job.v1","id":"4a3b063bbe56f63537f98718","url":"https://jobsearcher.com/jobs/4a3b063bbe56f63537f98718","canonicalUrl":"https://jobsearcher.com/jobs/4a3b063bbe56f63537f98718","title":"Data Scientist / Applied AI Engineer - SQL, pandas, Python","description":"Data ScientistPosition OverviewWe are seeking an Data Scientist / Applied AI Engineer t to turn data into production-ready ML solutions that drive business outcomes. You will work across the ML life cycle data extraction and wrangling, feature engineering, model development and evaluation, and deployment collaborating with product and engineering teams to deliver reliable, well-documented models and data pipelines. The ideal candidate is hands-on with SQL, Python, pandas, polars and has practical Data Science experience.Key ResponsibilitiesCollaborate with stakeholders to define analytics questions, success metrics and deliverable timelines.Extract, clean and transform data from relational databases and other sources using SQL, Python, pandas and polars.Perform exploratory data analysis, feature engineering and statistical analysis to inform modeling choices.Design, train and validate machine learning models using scikit-learn (sci-kit learn) and other appropriate libraries, ensuring robust model evaluation and selection.Implement A/B tests and model evaluation procedures to measure business impact and iterate on models.Productionize models and data pipelines: containerize, deploy and automate inference and monitoring workflows in collaboration with engineering teams.Build reproducible, well-documented code, unit tests and versioned experiments; follow software engineering best practices and CI/CD for ML.Create clear data visualizations and reports to communicate insights and model behavior to technical and non-technical stakeholders.Monitor model performance in production, troubleshoot data and model drift, and implement retraining/maintenance strategies.QualificationsBachelors or Masters degree in Computer Science, Statistics, Data Science, Engineering or related field, or equivalent practical experience.Proven hands-on experience with Python and data libraries (pandas, polars) and strong SQL skills for data extraction and transformation.Practical Data Science experience: data exploration, feature engineering, model training, and evaluation.Experience with sci-kit learn (scikit-learn) for building and validating traditional ML models.Solid understanding of statistical methods, metrics and experiment design (A/B testing).Ability to write clean, production-ready code, use version control (Git) and follow software engineering practices for reproducible pipelines.Strong problem-solving skills, attention to detail, and the ability to communicate complex results clearly to stakeholders.Nice-to-have: deep learning experience, broader machine learning expertise, advanced data wrangling, feature engineering at scale, model deployment experience, model evaluation and monitoring, A/B testing implementation, and data visualization tools such as Seaborn and other plotting libraries.BenefitsPaid Health Benefits (Medical Dental Vision)Equity - We're an earlier stage, well funded and profitable startup company Our equity package is both fair + compelling and has a 4 year vestFully Remote Work Environment  Email Your Resume In Word ToAaron.Frankel@CyberCoders.comLooking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : AF-1998333L688 -- in the email subject line for your application to be considered.Aaron Frankel - VP of RecruitingFor this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This is a new role.CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 09/28/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.Copyright © 2026 Everforth, Inc. All rights reserved.","company":"CyberCoders","rawCompany":"cybercoders","city":"Redwood City","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-10-01T23:14:51.212Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Scientist / Applied AI Engineer - SQL, pandas, Python","description":"Data ScientistPosition OverviewWe are seeking an Data Scientist / Applied AI Engineer t to turn data into production-ready ML solutions that drive business outcomes. You will work across the ML life cycle data extraction and wrangling, feature engineering, model development and evaluation, and deployment collaborating with product and engineering teams to deliver reliable, well-documented models and data pipelines. The ideal candidate is hands-on with SQL, Python, pandas, polars and has practical Data Science experience.Key ResponsibilitiesCollaborate with stakeholders to define analytics questions, success metrics and deliverable timelines.Extract, clean and transform data from relational databases and other sources using SQL, Python, pandas and polars.Perform exploratory data analysis, feature engineering and statistical analysis to inform modeling choices.Design, train and validate machine learning models using scikit-learn (sci-kit learn) and other appropriate libraries, ensuring robust model evaluation and selection.Implement A/B tests and model evaluation procedures to measure business impact and iterate on models.Productionize models and data pipelines: containerize, deploy and automate inference and monitoring workflows in collaboration with engineering teams.Build reproducible, well-documented code, unit tests and versioned experiments; follow software engineering best practices and CI/CD for ML.Create clear data visualizations and reports to communicate insights and model behavior to technical and non-technical stakeholders.Monitor model performance in production, troubleshoot data and model drift, and implement retraining/maintenance strategies.QualificationsBachelors or Masters degree in Computer Science, Statistics, Data Science, Engineering or related field, or equivalent practical experience.Proven hands-on experience with Python and data libraries (pandas, polars) and strong SQL skills for data extraction and transformation.Practical Data Science experience: data exploration, feature engineering, model training, and evaluation.Experience with sci-kit learn (scikit-learn) for building and validating traditional ML models.Solid understanding of statistical methods, metrics and experiment design (A/B testing).Ability to write clean, production-ready code, use version control (Git) and follow software engineering practices for reproducible pipelines.Strong problem-solving skills, attention to detail, and the ability to communicate complex results clearly to stakeholders.Nice-to-have: deep learning experience, broader machine learning expertise, advanced data wrangling, feature engineering at scale, model deployment experience, model evaluation and monitoring, A/B testing implementation, and data visualization tools such as Seaborn and other plotting libraries.BenefitsPaid Health Benefits (Medical Dental Vision)Equity - We're an earlier stage, well funded and profitable startup company Our equity package is both fair + compelling and has a 4 year vestFully Remote Work Environment  Email Your Resume In Word ToAaron.Frankel@CyberCoders.comLooking forward to receiving your resume through our website and going over the position with you. Clicking apply is the best way to apply.Please do NOT change the email subject line in any way. You must keep the JobID: linkedin : AF-1998333L688 -- in the email subject line for your application to be considered.Aaron Frankel - VP of RecruitingFor this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This is a new role.CyberCoders will consider for Employment in the City of Los Angeles qualified Applicants with Criminal Histories in a manner consistent with the requirements of the Los Angeles Fair Chance Initiative for Hiring (Ban the Box) Ordinance.This job was first posted by CyberCoders on 09/28/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.Everforth CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications, and a virtual recruiter as part of the application process. A human recruiter reviews all results. Click here for details on our virtual recruiter .  Everforth CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. Everforth CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at Benefits@CyberCoders.com to make arrangements.Copyright © 2026 Everforth, Inc. All rights reserved.","datePosted":"2026-10-01T23:14:51.212Z","dateModified":"2026-10-01T23:14:51.212Z","hiringOrganization":{"@type":"Organization","name":"CyberCoders","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Redwood City","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"4a3b063bbe56f63537f98718"},"url":"https://jobsearcher.com/jobs/4a3b063bbe56f63537f98718"}}