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Top Remote Principal Data Scientist Jobs in Austin, TX

19 Days Ago
Austin, TX, USA
Remote
300 Employees
Expert/Leader
300 Employees
Expert/Leader
Fintech • Mobile • Social Impact • Software • Financial Services
As a Principal Data Scientist at Self Financial, you'll lead the development of machine learning models to enhance financial inclusion. Responsibilities include feature engineering, collaborating across teams, and establishing data science standards to positively impact product and marketing efforts.
Top Benefits:
401-K
Company Equity
Company Outings
+51 More
2 Days Ago
2 Locations
Remote
Hybrid
250 Employees
135K-165K Annually
Senior level
250 Employees
135K-165K Annually
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software
The Senior Data Scientist at Iodine will analyze complex healthcare data using machine learning techniques, lead multiple projects, mentor junior team members, and collaborate with technical and business teams to develop innovative solutions that drive healthcare innovation.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+67 More
9 Days Ago
Austin, TX, USA
Remote
2,500 Employees
168K-228K Annually
Senior level
2,500 Employees
168K-228K Annually
Senior level
Cloud • Consumer Web • Productivity • Software • App development • Automation • Data Privacy
The Senior Data Scientist will analyze user behavior to drive business growth and revenue optimization by working closely with engineering and product teams. Responsibilities include conducting deep analytical dives, developing personalized segmentation strategies, monitoring experiments, and creating dashboards to report on key business metrics.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+55 More
7 Days Ago
United States
Remote
200 Employees
133K-199K Annually
Senior level
200 Employees
133K-199K Annually
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Senior Data Scientist will focus on providing insights and analysis to optimize Babylist's fulfillment and operations, working closely with product and business leaders to improve processes and revenue generation through data-driven decisions.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+37 More
25 Days Ago
United States
Remote
45,000 Employees
117K-196K Annually
Senior level
45,000 Employees
117K-196K Annually
Senior level
Automotive • Greentech • Information Technology • Other • Software
The Strategic Data Science Lead will drive innovative initiatives and strategic planning using data-driven approaches. Responsibilities include data collection, exploratory data analysis, model development, feasibility analysis, and stakeholder engagement to support strategic initiatives and enhance organizational growth.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+48 More
2 Days Ago
USA
Remote
430 Employees
158K-208K Annually
Senior level
430 Employees
158K-208K Annually
Senior level
Healthtech
The Senior Data Scientist develops models and performs analyses to improve business operations and support organizational goals. Responsibilities include managing data pipelines, statistical and machine learning models, and collaborating with data and business teams.
11 Days Ago
USA
Remote
430 Employees
131K-172K Annually
Mid level
430 Employees
131K-172K Annually
Mid level
Healthtech
As a Data Scientist II at Oscar, you will leverage AI and ML to enhance member engagement, develop analytics, and manage data pipelines and statistical models with minimal oversight. You may mentor junior staff and collaborate with different teams to deliver analytical solutions.
11 Days Ago
USA
Remote
430 Employees
174K-229K Annually
Senior level
430 Employees
174K-229K Annually
Senior level
Healthtech
The Senior Manager, Data Science will lead a team of three Data Scientists, managing projects focused on strategic analytics, modeling, and performance measurement. The role requires collaboration with clinical programs and stakeholders to enhance healthcare delivery while driving cost efficiency. Responsibilities include developing data pipelines and models, along with participating in longer-term strategy planning.

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