Senior Data Scientist I, Analytics (Remote - US) at Jobgether

, , United States -

Full Time

Start Date

Immediate

Expiry Date

04 Jan, 26

Salary

175000.0

Posted On

06 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, Machine Learning, SQL, Python, R, A/B Testing, Data Analysis, Problem-Solving, Communication, Collaboration, Dashboard Creation, Operational Processes, Product Development, Statistical Analysis, Quantitative Analysis, Insights Generation

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Scientist I, Analytics in the United States. The Senior Data Scientist I, Analytics will play a critical role in leveraging data to inform strategic business decisions and drive product innovations. This position focuses on improving processes and building machine learning models to enhance efficiency, accuracy, and user experience. You will work closely with product managers, engineers, and designers to deliver impactful insights and analytics solutions that support revenue cycle management and other operational initiatives. The role offers the opportunity to work in a collaborative, data-driven environment, influencing key decisions and contributing to meaningful outcomes across the organization. Ideal candidates are results-driven, analytical, and passionate about applying data science to solve real-world problems. Accountabilities Generate insights through deep-dive analyses to inform strategy and product prioritization. Build and deploy machine learning models to improve operational processes, such as predicting financial responsibilities or reducing claim errors. Design, implement, and evaluate A/B tests to validate product hypotheses and model performance. Define metrics and create dashboards to measure performance and inform decision-making. Collaborate cross-functionally with product, engineering, and marketing teams to define and execute the product roadmap. Identify new opportunities for data science initiatives that support company objectives. Communicate technical insights effectively to influence stakeholder decisions. Master’s degree in a quantitative field (e.g., data science, computer science, statistics, economics) or equivalent industry experience. 2–4 years of experience as a data scientist supporting product development. Expertise in SQL and proficiency in Python or R for data analysis. Experience developing machine learning models for production or analytics applications. Familiarity with designing and analyzing A/B testing experiments. Strong problem-solving skills, results-driven mindset, and ability to take projects from inception to launch. Excellent communication skills to convey technical insights to non-technical stakeholders. Remote-first work environment with flexible scheduling. Health insurance (medical and dental through Aetna, vision through MetLife) including FSA and HSA options. 401(k) plan. Monthly therapy and wellness stipends. Home office and co-working space stipends. Financial wellness programs and pet discounts. Paid holidays, Alma Give Back Day, and flexible PTO. Comprehensive parental leave plans. Salary range: $150,000 – $175,000. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias, focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

The Senior Data Scientist I, Analytics will leverage data to inform strategic business decisions and drive product innovations. This includes generating insights through analyses, building machine learning models, and collaborating with cross-functional teams.