You haven't searched anything yet.
The Role:
Carrot is seeking a Senior Data Scientist to join our rapidly growing Data team. This role involves designing and implementing advanced diagnostic, predictive, and prescriptive models, leading data analysis projects, and mentoring junior team members. Success in this role means developing robust data-driven solutions, ensuring data quality, and proactively collaborating with cross-functional teams while taking initiative to drive projects and tasks forward independently. This position is exciting as it offers the opportunity to work with extensive healthcare, financial, and product/platform data, applying advanced statistical methodologies and machine learning techniques to drive positive member outcomes. The primary goal is to strategically engage members to foster meaningful interactions, thereby driving impactful and measurable outcomes that align with and enhance Carrot’s value proposition.
The Team:
The Data team sits within the Product Organization and is a highly cross-functional team that is central to Carrot’s long-term success. Led by the Senior Director, Analytics & Business Intelligence, this role is part of the Data Science function, which sits alongside our Data Engineering and Business Intelligence functions. The Data Science function primarily supports our Customer Success, Commercial Sales, and Strategy (Research/Outcomes) teams, producing data to support the sales team and leveraging work alongside the strategy team to provide data-driven insights for ongoing customers, effectively serving both prospective and existing customers with our value story end-to-end.
Minimum Qualifications:
Preferred Qualifications:
Compensation:
Carrot offers a holistic Total Rewards package designed to support our employees in all aspects of their life inside and outside of work, including health and wellness benefits, retirement savings plans, short- and long-term incentives, parental leave, family-forming assistance, and a competitive compensation package. The expected base salary for this position will range from $140,000- $160,000. Actual compensation may vary from posted base salary depending on your confirmed job-related skills and experience.
Full Time
IT Outsourcing & Consulting
$109k-135k (estimate)
07/13/2024
08/03/2024
get-carrot.com
SAN FRANCISCO, CA
25 - 50
2015
Private
AMANDA KAHLOW
$5M - $10M
IT Outsourcing & Consulting
Carrot is a California-based fertility benefits platform that provides services such as fertility coverage, pregnancy and parental benefits programs for employers.
The job skills required for Data Scientist include Data Science, Machine Learning, Insight, Computer Science, Data Analysis, Problem Solving, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist III that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.