Data Scientist at Get Covered

Calabasas, California, United States -

Full Time

Start Date

Immediate

Expiry Date

15 Apr, 26

Salary

0.0

Posted On

15 Jan, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Statistical Modeling, SQL, Python, R, Data Visualization, A/B Testing, Data Validation, Collaboration, Problem Solving, Communication, Data Quality, Dashboard Creation, Experimentation, Predictive Modeling

Industry

Software Development

Description

About the role We are looking for a Data Scientist to support analytics and modeling efforts across the business. This role is ideal for someone early in their data science career who is eager to learn, build strong fundamentals, and apply data to real-world business problems in a fast-growing insurtech environment. You will work closely with engineers, department managers, to analyze data, build models, and help translate insights into actionable recommendations. What you'll do Assist in building, testing, and maintaining statistical and machine learning models under guidance from senior team members Analyze structured datasets to identify trends, anomalies, and opportunities across customer and insurance data Write clean, well-documented SQL queries and Python (or R) code for analysis and reporting Support A/B tests, experiments, and performance analyses Create dashboards, reports, and visualizations to communicate findings to stakeholders Help ensure data accuracy and consistency by performing data validation and quality checks Document assumptions, methodologies, and results for transparency and knowledge sharing • • Collaborate with cross-functional teams to understand business needs and translate them into data questions Qualifications Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science 0–2 years of professional experience in data science, analytics, or a related role Working knowledge of Python or R for data analysis Excellent SQL skills Understanding of fundamental statistics and introductory machine learning concepts Strong curiosity, problem-solving skills, and willingness to learn Ability to clearly communicate insights with guidance and feedback Preferred Qualifications Experience in insurance, fintech, SaaS Familiarity with common data science libraries Exposure to data visualization tools such as Tableau, Looker, or Power BI Experience working with cloud data platforms or modern data stacks Projects involving experimentation or predictive modeling

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Responsibilities

The Data Scientist will assist in building, testing, and maintaining statistical and machine learning models while analyzing structured datasets to identify trends and opportunities. They will also create dashboards and reports to communicate findings to stakeholders.