At a Glance
- Tasks: Support data integration and modelling to drive customer satisfaction and impactful insights.
- Company: Join Epistemix, a leader in data-driven decision-making.
- Benefits: Equity options, flexible time off, and health benefits for U.S. employees.
- Other info: Remote position with opportunities for meaningful career growth.
- Why this job: Make a real-world impact by revolutionising how organisations manage risk and forecast outcomes.
- Qualifications: Experience in data science, strong communication skills, and a passion for problem-solving.
The predicted salary is between 45000 - 55000 £ per year.
- Join to apply for the
- Data Scientist role at
- Epistemix
The Data Scientist supports data integration and modeling for a portfolio of customers, supporting adoption and high-impact use of the Epistemix software platform.
This role contributes to profitable growth by driving customer satisfaction, accelerating time to insights, and accelerating our time to value for customers.
Ultimately, your work supports customer satisfaction, customer retention, and revenue growth from existing customers.
About Epistemix
Epistemix helps organizations forecast outcomes and manage risk by modeling how people behave.
Our platform consists of two core products: Populus, which provides access to realistic, high-resolution synthetic population data, and Polaris, which enables scenario planning through advanced data science and simulation.
Together, they empower customers to evaluate the potential impact of strategies before deploying them in the real world.
Organizations across healthcare, consumer industries, insurance, and government use Epistemix to reduce uncertainty, optimize decisions, and accelerate time to value.
Whether estimating total addressable market, testing public health interventions, or forecasting behavior change, our tools help teams make confident decisions when pre-existing data may not exist.
Responsibilities
- Support customers’ and colleagues’ efforts to use our platform to deliver data integration, visualizations, models and recommendations that create meaningful impact
- Work with customer teams to understand their goals and help develop data integration, modeling, and visualization plans to support decision making
- Collaborate with customer and internal teams to develop, test, and validate simulation models, ensuring their accuracy and relevance for healthcare use cases
- Provide guidance for proposals on feasibility of scope and how to ensure impact
- Contribute to customer onboarding experiences and content, helping to ensure customers quickly achieve their first successes with the platform
- Engage with customer users to provide informal support, tips, and troubleshooting
- Collaborate with premium support customers by integrating data and creating models, simulations, or visualizations. Support recommendation development and action plans
- Participate in reviews with customers to document and improve measurable impact
- Provide feedback to Product and Sales teams to align offerings with customer needs
- Follow advancements in data science, machine learning, and healthcare analytics
Qualifications
- Commitment to understanding customer needs and helping them achieve goals
- Creative mindset with a passion for tackling challenging problems with data
- Ability to collaborate with diverse users and internal teams
- Strong communication skills: verbal, code, visualizations, and maps
- Strong foundation in machine learning, data modeling, and predictive analytics
- Understanding of key concepts of the healthcare industry required. Prior healthcare experience (broadly defined) very strongly preferred
- Comfort working in a dynamic environment with evolving priorities and customer needs
- Proficiency in Python and associated data science technologies
- Experience with data visualization tools such as Tableau, Power BI, and/or GIS tools
- Expertise in SQL or No SQL databases preferred
- 2-3 years prior experience as a Data Scientist, Analyst, or similar role, with demonstrated ability to solve complex data challenges. (Work in Ph D program can count toward experience)
- Masters or Ph. D in Data Science, Computer Science, Epidemiology, Economics, Public Health, Statistics, Mathematics, or similar quantitative field
- Experience with more than one company size or business stage preferred
- Must be legally authorized to work in the United States and not require employer sponsorship now or in the future.
Why Join Epistemix?
- Equity & Incentives – Participation in our stock option program.
- Flexible Time Off – Autonomy to manage your schedule and work-life balance.
- Health, Welfare and 401(k) Programs – Eligibility for benefits (for U. S. employees).
- Meaningful Impact – Apply your creative talents to revolutionize data-driven decision-making and make a real-world difference.
This is a remote position open to applicants located in the United States.
Candidates must possess the legal right to work in their intended work location, as we are currently unable to sponsor or transfer employment visas for any country, including the United States.
Data Scientist employer: Epistemix
Epistemix is an exceptional employer for those looking to make a meaningful impact in the field of data science. With a strong emphasis on collaboration and creativity, employees enjoy flexible time off, participation in a stock option program, and the opportunity to work on innovative projects that revolutionise decision-making across various sectors. The remote nature of the role allows for a diverse team, fostering a culture of inclusivity and growth, making it an ideal place for professionals eager to contribute to a purpose-driven mission.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Epistemix!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at Epistemix.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Epistemix.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at Epistemix, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Epistemix, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Epistemix. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Epistemix
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Epistemix!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
