Lead Data Scientist

REMOTE HAND
United States
1 day ago
Apply on arc.dev
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$156,500.0 - $215,300.0
Working hours
Regular working hours
Job source

Tech stack

Business Analytics Applications Machine Learning SQL Databases Data Strategy Information Technology Data Analytics

Job description

The Lead Data Scientist develops advanced analytics solutions that influence business strategy and promote policy adherence. This role is responsible for designing metrics, models, and valuation frameworks that measure compliance and financial impact. By partnering with data, compliance, policy, and business teams, the position helps operationalize analytics solutions, improve decision-making, and shape the organization’s approach to policy governance and data-driven strategy.

Responsibilities

  • Develop, maintain, and collect structured and unstructured datasets for analysis and reporting.

  • Create reports, projections, analytical models, and presentations to support business strategy.

  • Advise executives on functional strategies related to policy adherence and compliance.

  • Develop strategies for innovative analytics solutions that improve compliance and decision-making.

  • Research, design, and implement policy adherence metrics using advanced data modeling techniques.

  • Design valuation models to measure savings generated through compliance improvements.

  • Partner with national teams to support the adoption and operational use of analytics metrics.

  • Manage relationships with data owners, compliance teams, policy teams, and business stakeholders.

  • Influence analytics priorities and roadmap decisions for scalable solution implementation.

Requirements

  • Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.

  • Minimum 8 years of professional experience in data and analytics.

  • At least 5 years of experience using SQL.

  • Minimum 4 years of project leadership experience.

  • Strong expertise in mathematics, statistics, predictive modeling, machine learning, and business analysis.

  • Experience solving moderately to highly complex analytical and business problems.

  • Ability to independently exercise sound judgment and work effectively with minimal supervision.

  • Strong communication and stakeholder management skills.

Benefits & conditions

Pay Range and Compensation Package

  • Annual salary range: $156,500-$215,300.

  • Eligible for a bonus incentive plan based on company and/or individual performance.

Benefits & Perks

  • Medical insurance.

  • Vision insurance.

  • Dental insurance.

  • 401(k) retirement plan.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

About the company

The organization operates in the healthcare data analytics sector, transforming complex data into actionable insights that improve policy adherence, operational consistency, and business decision-making. It addresses challenges associated with analyzing large volumes of structured and unstructured data while supporting healthcare strategies, compliance initiatives, and behavioral health policy. The organization collaborates across teams and stakeholder groups to develop scalable analytics solutions that influence healthcare policy and network decisions.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on arc.dev
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:01 min

Executing remote data exploration and model training

Mingshen Sun Mingshen Sun · World Congress 2024

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

1:15 min

Three pillars of the data and AI strategy

Dominik Schneider Dominik Schneider · World Congress 2025

1:32 min

Structuring platforms for new services and data analytics

Nevelina Aleksandrova · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:44 min

Integrating data analytics into the talent acquisition function

Kobi Kobi +1 · World Congress 2025

Videos

See all

Related articles

See all