job summary:
Are you an experienced Data Scientist with a passion for classical machine learning, natural language processing, and end-to-end problem-solving? A premier B2C financial services innovator is expanding its highly collaborative tech team and looking for a Lead Data Scientist to drive impactful, customer-focused solutions. In this 100% remote role, you will help build a world-class inference layer and deploy models that directly enhance decision-making across the business. If you thrive in a high-growth, direct-to-consumer environment and enjoy owning projects from initial scoping through to live deployment, this is the perfect opportunity to make a massive industry impact. This role offers a competitive compensation package that includes comprehensive medical, dental, and vision coverage.
location: Telecommute
job type: Permanent
salary: $185,000 - 200,000 per year
work hours: 9am to 5pm
education: Bachelors
responsibilities:
Responsibilities
- Take complete ownership of the data science workflow on a day-to-day basis, from framing the initial problem and constructing datasets to model building and final delivery.
- Partner cross-functionally with platform engineering and product teams to integrate and deploy classical machine learning models into live production cloud environments.
- Architect and maintain robust data pipelines, independently gathering, cleaning, and preprocessing data from varied cloud sources and third-party APIs.
- Develop, validate, and deploy predictive models (e.g., regression, classification, clustering, semantic search) to uncover hidden relationships and deep insights within consumer data.
- Evaluate code quality by actively participating in peer reviews, mitigating bias, and ensuring all deployed solutions meet high engineering standards.
- Translate complex business challenges into actionable data science solutions, generating intuitive visualizations and diagnostic reports to guide strategic business decisions.
qualifications:
Must-Haves:
8+ years of professional experience in Data Science or Machine Learning roles.
Deep expertise in classical machine learning algorithms, statistical techniques, and predictive modeling.
Strong proficiency in building, optimizing, and deploying end-to-end data pipelines in a cloud-hosted environment.
Advanced programming skills and fluency in Python and SQL.
Proven track record of converting broad business problems into concrete, deployed data science solutions.
Hands-on experience with dashboarding and data visualization tools (e.g., Tableau, Power BI, Looker, Streamlit).
Solid understanding of secure data handling practices and customer data privacy best practices.
Nice-to-Haves:
Professional background in B2C or direct-to-consumer subscription business models.
Familiarity with the consumer technology or financial planning sectors.
Hands-on experience with Natural Language Processing (NLP) and semantic search tools.
Experience using containerization to produce shareable, repeatable code.
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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