About The Position

HighPeak AI builds advanced predictive analytics systems that help enterprise clients make smarter long‑term decisions. We work with massive datasets, cutting‑edge machine learning, and modern cloud infrastructure to uncover insights that drive real business outcomes. We’re looking for a Data Scientist who can take full ownership of predictive modeling initiatives—from exploration to deployment. You’ll identify valuable datasets, build data‑driven proofs of concept, and bring production models to life that directly shape client strategy and HighPeak’s product roadmap. The current work arrangement for this position is Hybrid and requires your on-site a minimum of 3 days/week in our Newark, NJ location. For those outside of the commutable Newark location, we are open to virtual work arrangements.

Requirements

  • Master’s degree or higher in a quantitative field (PhD preferred)
  • 5+ years of experience in data science or applied ML
  • Strong proficiency in Python, SQL, and modern ML frameworks
  • Experience deploying models into production cloud environments
  • Solid statistical foundation and familiarity with advanced ML techniques
  • Ability to collaborate across technical and non‑technical teams in a fast‑paced environment
  • Experience building APIs or lightweight web interfaces (required)

Nice To Haves

  • Experience working with large, complex datasets
  • Understanding of cloud‑based ML infrastructure
  • Background in risk modeling, financial analytics, or health‑related data

Responsibilities

  • Design, build, and refine predictive models using large‑scale structured datasets
  • Develop feature pipelines, evaluate model performance, and ensure production‑level reliability
  • Partner with engineering to deploy, monitor, and iterate on ML systems in the cloud
  • Translate complex analytical findings into clear, actionable insights for internal and client stakeholders
  • Contribute to shaping new data‑driven features and product capabilities

Benefits

  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance, Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • 401(k) plan with company match (up to 4%).
  • Company-funded pension plan.
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices (Beginning or End of the purchase period), after one year of service.
  • Eligibility to participate in a discretionary annual incentive program is subject to the rules governing the program, whereby an award, if any, depends on various factors including, without limitation, individual and organizational performance.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service