Senior Data Scientist - Analytics Engineering

Do you enjoy using data to create the best customer experiences, enable quantitative decision making, and drive innovations company-wide? Do you want to be in a working environment surrounded by amazing team members who are just as passionate and excited as you are? Do you want to make a difference to the careers of healthcare workers across the country? Do you enjoy shaping how a company utilizes data to delight customers?

Well, this is your lucky day because Incredible Health is hiring a data wizard like yourself!

What you will be doing:

We are looking for an experienced Senior Data Scientist to help us create the best healthcare worker experience on our platform. You will work cross-functionally to solve problems and shape the understanding of our marketplace and customer experience through insights, experimentation, data products and much more.

• Analyze complex data sets, employ advanced data modeling, and analysis techniques to discover insights, build models, experiments, and features that positively impact our key metrics.
• Build and maintain data pipelines, data models, and data transformation processes using dbt, ensuring data accuracy, consistency, and completeness.
• Work proactively to cultivate strong stakeholder relationships and identify opportunities for insights to validate and test hypotheses, lead to new impactful outcomes or initiatives, and shape data-driven projects.
• Collaborate with cross-functional teams from engineering, product, design, operations, and finance to identify and prioritize actionable, high-impact insights and analyses.
• Promote and nurture a culture of data literacy and analytics engineering excellence across the team.

You might be the one we're looking for if you have:

• At least 5 years of experience as a Senior Data Scientist or related quantitative analytics role, preferably in a high-growth environment with a proven track record of delivering actionable insights and quantifiable impact on key business metrics.
• Experience with analytics engineering stack (dbt, dbt Semantic Layer / Cube, Git) and a solid understanding of databases and data warehousing concepts.
• Expertise in SQL, Python, BI tools like Metabase, Lightdash (bonus points if you’re a Hex wizard)
• Deep understanding of statistical analysis, modeling, and experimental design, including assessing statistical significance and effect size, account for confounders, causal inference and Bayesian Statistics
• Excellent communication skills, with the ability to synthesize, simplify and explain complex problems to different types of audience with varied technical skills
• Experience in prioritizing and balancing quick iterations with rigor, while ensuring data accuracy, consistency, and completeness

And now a little more bit about us…Incredible Health is a fast-growing, venture-backed career marketplace for healthcare workers. Our software and service helps healthcare workers like nurses find and do their best work. We’re using technology to give health care recruiting a much-needed speed and quality boost while solving the number one problem of our hospital partners - how to get the staff they need. Our vision is to help healthcare workers live better lives. We’re backed by top venture firms and we’re growing and moving fast.

Working here is awesome because:

• We’re moving quickly so things never get stale.
• We get to make a difference in the lives of healthcare workers who are truly amazing people.
• We are a very high caliber team of medical doctors, nurses, software engineers, designers, sales leaders, account managers and more.
• We know there is more to life than just work, so we all take the time to hang out with our family and friends.
• We pay a real salary, and equity, and we’ve got you covered when it comes to your health. (medical, vision, dental)
• Unlimited vacation, so take a break when you need it!
• We have a great family leave policy, so you can spend time bonding with any new additions to your family.
  
  

Protect Yourself from Recruitment Fraud

At Incredible Health, the security of our employees and candidates is a priority.

All application information should be submitted securely on https://www.incrediblehealth.com/careers

We will always communicate with you via @incrediblehq.com or @incrediblehealth.com e-mail addresses and will use the email address that you provided in your application. We will not make offers or schedule interviews through LinkedIn InMail or Wire.

We will never request money or sensitive information like bank account information, social security number, or any other non-public information during the application process. We do not charge a fee to process employment applications or require any other form of payment during the recruitment process. You will not be asked to purchase your own company hardware, phone, or phone line during the recruitment process.

If you suspect fraud, please do not respond and report the situation to fraud@incrediblehealth.com. Please include as much information as possible when submitting your report, including a copy of the original email or text you received and any other important information such as email headers, names, company names, e-mail addresses, phone numbers, URLs, and mailing details.

Equal Employment Opportunity

Incredible Health is proud to be an equal opportunity employer.  Qualified candidates are considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, military or veteran status, disability, or any other characteristic protected by applicable law.

We are committed to inclusion of all individuals and will make reasonable accommodations for qualified individuals with disabilities in our job application process.  If you require assistance or accommodations to participate in the job application or interview process, please contact recruiting@incrediblehq.com

**Incredible Health is unable to sponsor applicants for work visas at this time. Successful candidates must be authorized to work in the U.S. for any employer without needing sponsorship support.**