Head of Data Science/ Machine Learning

HARAMAIN SYSTEMS INC.

$130K — $180K *
US-AnywhereRemote in Pleasanton, CA
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Master's or PhD in a relevant STEM field preferred; exceptional Bachelor's considered.
  • 7-15 years of experience in applied machine learning/data science in fintech or similar domains.
  • 4+ years of management experience in high-growth startup environments.
  • Demonstrated experience in solving complex business problems with scalable ML solutions.
  • Strong programming skills in Python with experience in end-to-end machine learning processes.

Responsibilities

  • Lead the data science and machine learning teams to develop innovative solutions.
  • Drive the end-to-end model lifecycle from feature engineering to monitoring and production.
  • Communicate complex ML concepts and project updates effectively to senior management.
  • Establish a high-performing culture focused on autonomy and problem-solving capabilities.
  • Oversee the scaling of product-driven ML models core to business operations.

Benefits

  • Flexible work location with remote options.
  • Opportunity to work with a high-caliber, select team.
  • Autonomy in product development and team scaling.
  • Engagement with senior leadership in decision-making processes.
Full Job Description
Job Description

Head of Data Science/ Machine Learning

Location : CA/Remote

Full time role

Education Requirements
  • Preferred Master's or PhD in a relevant STEM field, but exceptional Bachelor's profiles considered.

Interview Process
  • Four rounds: recruiter call, hiring manager interview, technical (coding and case study), and leadership round.
  • Leadership round involves the head of people, CTO, and CEO.

Ideal Candidate Profile
  • Combination of machine learning engineering and data science, capable of writing production code.
  • Strong communicator, able to articulate complex information effectively.

Team Culture and Expectations
  • High-caliber, select team with high expectations and visibility.
  • Autonomy in growing products and scaling teams, with a strong focus on technical and problem-solving capabilities.


Seniority
  • 7 - 15 years of experience in applied ML/data science, building production models in fintech, cybersecurity, or other high stakes domains
  • Work experience
  • 4+ years managing data science/ML teams in high-growth startups (must have managed people building and deploying ML products core to the business)
  • Proven track record of solving complex / high profile business problems with DS / ML solutions. (Scaled a product suite of ML models, not just one model)
  • Held senior/leadership role at a fast growing startup (20-400 people) with broad scope
  • Shows great slope and career progression


Education

Master's or PhD in a STEM field (math, stats, CS, physics, engineering) - target top universities

End-to-end ML: feature engineering, model training, productionalization, monitoring

Strong software engineering abilities in Python

Domain experience in fraud, identity verification, or financial risk

Experience in communicating progress + outcomes to senior management / stakeholders

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