Science Logic

1 month ago

Director, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Director-level data science leader responsible for architecting end-to-end data science and agentic AI systems, hands-on model development, and leading a small team of three in collaboration with Product and Engineering to align AI investments with business strategy. Will drive scalable ML platforms, governance, and production deployment while mentoring and scaling the team to meet growing demand.

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Architect complex data science and agentic AI systems end to end, from foundational capabilities to production deployment
•Personally build, validate, and deploy the highest-complexity predictive models and machine learning solutions that solve core business problems
•Define enterprise-level best practices for AI/ML systems, experimentation, governance, and operationalization
•Drive standards for scalability, observability, model lifecycle management, and responsible AI across the organization
•Lead, manage, and develop an established team of three data scientists, owning their growth, performance, and career trajectories

Pay and Benefits

Perks:Health InsuranceDentalVision401kPet Insurance

Key Requirements

•10–15 years of experience in data science, machine learning, or a related field including demonstrated technical leadership across multiple teams or initiatives
•3–5+ years leading and growing a data science team, with a track record of mentoring and developing senior technical talent
•Proficiency in Python and/or R and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
•Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
•Excellent communication skills—able to translate complex technical work into strategy and recommendations for senior stakeholders

Experience:10-15 yearsData scienceAIMachine learning

Education:Bachelor's in Data Science

Skills:LeadershipCommunicationProblem-solving

Tech Stack:PythonRScikit-learnTensorFlowPyTorchSQLTableauPower BIAWSGCPAzureDatabricks

Company Brief

Science Logic

Provides an AI-driven IT operations management (ITOM) platform that delivers monitoring, event correlation, and automation to help enterprises detect, diagnose, and resolve infrastructure and application issues across hybrid and multi-cloud environments.

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Reston, United States

Founded: 2003

Website LinkedIn

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Science Logic

1 month ago

Director, Data Science

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United States

Workplace: Remote

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Director level

Key Responsibilities

•Architect complex data science and agentic AI systems end to end, from foundational capabilities to production deployment
•Personally build, validate, and deploy the highest-complexity predictive models and machine learning solutions that solve core business problems
•Define enterprise-level best practices for AI/ML systems, experimentation, governance, and operationalization
•Drive standards for scalability, observability, model lifecycle management, and responsible AI across the organization
•Lead, manage, and develop an established team of three data scientists, owning their growth, performance, and career trajectories

Pay and Benefits

Perks:Health InsuranceDentalVision401kPet Insurance

Key Requirements

•10–15 years of experience in data science, machine learning, or a related field including demonstrated technical leadership across multiple teams or initiatives
•3–5+ years leading and growing a data science team, with a track record of mentoring and developing senior technical talent
•Proficiency in Python and/or R and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
•Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
•Excellent communication skills—able to translate complex technical work into strategy and recommendations for senior stakeholders

Experience:10-15 yearsData scienceAIMachine learning

Education:Bachelor's in Data Science

Skills:LeadershipCommunicationProblem-solving

Tech Stack:PythonRScikit-learnTensorFlowPyTorchSQLTableauPower BIAWSGCPAzureDatabricks

Company Brief

Science Logic

Industry: SaaS

Company Size: Enterprise (1,001+ employees)

Growth: Established Company

Funding: Private Equity Backed

Headquarters: Reston, United States

Founded: 2003

Website LinkedIn