Data Scientist

Vor 6 Tagen

Berlin, Deutschland Cherry Ventures Vollzeit

Cherry Ventures is supporting our portfolio with this hire

Data Scientist

Skills & Experience

**Experience level**: Mid, Senior
**Tech stack/tooling used**: Python
**Core skills we consider**: Machine Learning, Python, SQL, Pandas, Data Analysis
**Other skills we consider**: NLP, Deep Learning

T H E C O M P A N Y
Abtrace is a leading health tech company that leverages the power of data and
technology to deliver personalised care at population scale already covering 3 million
patients.
You will be working with a talented team of software and machine learning engineers
and medical professionals developing clinical algorithms to detect signals of health
deterioration, the early onset of new diseases, and opportunities for preventative
interventions.

T H E R O L E

We are looking for someone who has a strong foundation in statistics and machine

learning, who is passionate about healthcare, and thrives in a collaborative and fast
- paced environment.

You will be responsible for analysing large longitudinal healthcare datasets and
developing predictive models to be deployed in clinical settings where your expertise in
Python as well as proficiency in other data science tools (scikit-learn, pandas,
Tensorflow, Pytorch, spaCy, SQL and similar) will be valued.

**R E Q U I R E D S K I L L S**:

- Proficiency in Python and SQL
- Excellent knowledge of machine learning and MLOps
- Experience in Natural Language Processing
- Experience with AWS cloud infrastructure.

**C O M P A N Y B E N E F I T S**:

- Base Salary £75,000 - £95,000 depending on experience.
- Private Pension
- Generous maternity/paternity leave
- Flexi working & possibility for remote working.
- Company's office in Paddington - easy commute and comfortable surroundings
- Opportunity to be involved in ground-breaking technology impacting patient health.

Cherry Ventures is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

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