Data Scientist
Lithuania | UK
Applications have closed
Flo Health
At Flo, we aim to improve the health and wellbeing of every girl, woman, and person who menstruates worldwide.We’re quite proud of our achievements…
250M+ downloads, 48M+ monthly users, #1 by installs in the iOS Health category, 4.9 stars on the App Store (3M+ reviews), backed by 7 VCs, annual revenue at 9 figures, and a valuation close to $1B.
…and we’re just getting started.
We’re Flo Health, a rapidly growing, Series B funded HealthTech building the essential digital health partner of tomorrow to empower women, girls, and people who menstruate with the knowledge and support they need to stay well and live better.
And there's never been a more exciting time to join us.
Our cycle, ovulation and pregnancy tracking, educational content and anonymised community platform have been trusted for years by millions to help them feel more in control of their health every day.
Now though, we’re harnessing the power of data analytics and AI to build a smarter future, one where we all know our bodies better - we’re set to become the world’s favourite female health brand.
Big plans, right?
They absolutely are - that’s why we’re hiring.
The Job
Health Data Science team leverages medical and behavioural insights from more than 50 millions active Flo users to innovate health related products with statistical and machine learning modelling. Solutions we build are rooted in our medical knowledge, technical skills, product expertise, and in constant search for better understanding of our customers’ needs. We work on problems of menstrual cycle modelling, finding patterns and regularities in symptoms, symptoms prediction, utilising data from wearable devices and more. We not only translate product vision into the language of statistics, we generate this vision. It is an experienced team of 2 data scientists and 1 data engineer working in close contact with product teams and engineers. We value your quantitative skills, obsession with data, empathy toward customers, and a product-oriented mindset.
Your Experience
Must have:
- 5+ years of relevant experience as a Data Scientist or Data Analyst
- Demonstrated end-to-end experience in predictive analytics and machine learning
- Deep understanding of statistics and ML fundamentals
- The ability to communicate complex ideas effectively with technical and non-technical team members alike.
- Experience in wrapping solutions in dollars and communicating its value with executives.
- Broad interest in prototyping, storytelling, data journalism and alike
- Strong interest in the health domain
- A degree in statistics, bioinformatics, epidemiology, economics, or a closely related field
Nice to have:
- Graduate degree in statistics, bioinformatics, epidemiology, economics, or a closely related field
- Knowledge of big data technologies (Redshift, HDFS/S3, Spark, Kafka/Kinesis, etc.)
- Experience at the tier 1 product company or related experience working within the product or research organisation.
- Experience with the ML adoption in regulated industries (finance, health)
- Experience with the health domain
What you'll be doing
You'll be responsible for:
- Designing predictive models and machine learning algorithms in the health domain
- Developing and conducting experiments to validate models you build
- Communicating and visualising insights to product teams and broader stakeholders
- Developing comprehensive knowledge about data structures and metrics, advocating for changes for product development
#LI-LM12
Reward
People perform better when they’re happy, paid well, looked after and supported.
That’s just a fact.
On top of competitive salaries, for employees at Flo we offer:
- A fully flexible working environment wherever you’re at your best: at home, in our offices, or a mix-and-match of both
- Company equity grants through Flo’s employee share option plan (ESOP)
- Career growth, progression, and learning development resources
- Workations - an opportunity to work abroad for two months’ a year
- Six months fully-paid maternity leave with return to work bonus (including same-sex and adoptive parents)
- One month fully-paid paternity leave
- Annual salary reviews
- As many free premium Flo subscriptions as you’d like
- A whole host of other benefits (health/pension/social schemes - dependent on location)
Our Culture
It’s pretty hard to condense a culture down to a few words, but we do all have a few things in common.
We’re problem solvers, we’re adaptable, we’re empathy driven and results led.
People here like working in a fast-paced, multi-national, multi-cultural and ever changing environment. Everyone has an impact on a powerful mission, and is happy to roll their sleeves up to ideate solutions and put them in place. Being part of a rapidly growing business means that the answers aren’t always there for us already, but that’s okay; it’s part of the excitement!
If this resonates, we might be the right place for you.
We know that building the future of female health isn’t going to be easy,
but we’re hoping you’re up for the challenge.
Diversity, Equity and Inclusion
The strength of our workforce is in the diverse backgrounds of our employees, and Flo is committed to applying its equal opportunities policy at all stages of recruitment and selection. This means recruitment and selection of talent into Flo Health companies is only based on individual merit and qualifications directly related to professional competence. Shortlisting, interviewing, and selection will always be carried out without regard to gender identity or expression, sexual orientation, marital or civil partnership status, color, race, nationality, ethnic or national origins, religion or beliefs, ancestry, age, veteran status, mental or physical disability, medical condition, pregnancy or maternity status, trade union membership, or any other protected characteristics.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Data Analytics Economics Finance HDFS Kafka Kinesis Machine Learning Prototyping Redshift Research Spark Statistics
Perks/benefits: Career development Competitive pay Equity Flex hours Health care Medical leave Parental leave Salary bonus
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