Job Classification:
Technology - Data Analytics & Management
About Us
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.
Role Overview
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.
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
Qualifications
- 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)
Preferred
- Experience working with large, complex datasets
- Understanding of cloud‑based ML infrastructure
- Background in risk modeling, financial analytics, or health‑related data
#LI-LR1 #LI-Hybrid
What we offer you:
Prudential is required by state specific laws to include the salary range for this role when hiring a resident in applicable locations. The salary range for this role is from $97,300.00 to $178, Specific pricing for the role may vary within the above range based on many factors including geographic location, candidate experience, and skills.
* 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. To find out more about our Total Rewards package, visit Work Life Balance | Prudential Careers. Some of the above benefits may not apply to part-time employees scheduled to work less than 20 hours per week.
Prudential Financial, Inc. of the United States is not affiliated with Prudential plc. which is headquartered in the United Kingdom.
Prudential is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender identity, national origin, genetics, disability, marital status, age, veteran status, domestic partner status, medical condition or any other characteristic protected by law.
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