Data Scientist
Python
Data Scientist
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Remote
7N Sp. z o.o.
Ciągłe szukanie nowych projektów IT, negocjacje stawek, brak realnego wsparcia w rozwoju – brzmi znajomo? Znamy tę perspektywę, dlatego w 7N stworzyliśmy model współpracy, który zapewni Ci stabilność kontraktów, indywidualne wsparcie dedykowanego opiekuna oraz możliwości profesjonalnego rozwoju – bez zbędnych formalności i stresu. Współpracujemy z ponad 1700 konsultantami (ekspertami z branży IT), realizującymi projekty dla 220 klientów z różnych branż. Choć wywodzimy się z Danii, dziś działamy globalnie z 12 biur w Europie, Ameryce Północnej i Azji.
Tech stack
Python
NumPy
Pandas
SQLAlchemy
Job description
7N is an agent for high-end IT professionals. Over 30 years of operation we have proven that a clear and transparent financial model, collaboration exclusively with experts in their respective fields, and taking good care of them comprise the best possible IT consulting model. We act as an individual agent for our consultants and promote their competences to our clients by offering them a wide range of projects in which they may participate. We add wage transparency, career development support and professional stability. Our main goal is long-term collaboration; therefore the majority of our staff have been with us for many years.
About the project
Currently, we are looking for a talented Data Scientist. The successful candidate will establish processes and implementations to enable and facilitate the mining of digital biomarkers out of the aforementioned data. In addition, the candidate will help the staff to set up and maintain new digital biomarker studies. Fully remote job.
Tasks
- Develop the computational back-end of applications used to discover Digital Biomarkers
- Help to automate the creation of reports and dashboards supporting the analytics-driven decision taken from the sensor data collected
- Participate in a technical decision regarding the implementation of a new algorithm to mine sensor data
- Enhance the existing infrastructure that handles the data collected from sensors used in clinical trials
- Proactively collaborate with a team comprising data scientists, software engineers and life science experts
Requirements
- Bachelor with emphasis on coursework of a quantitative nature (e.g. Computer Science, Engineering, Mathematics, Data Sciences)
- 3 of software development experience
- Experience in or eagerness to write and maintain ETLs (extract, transform, load) pipelines which operate on a variety of structured and unstructured sources
- Experience with SQL and NoSQL data stores
- Deep knowledge of Python and frameworks around it.
- Previous working experience with the common Python data analysis (e.g. NumPy/SciPy, Pandas, Scikit-learn, SQLAlchemy, etc) and, ideally, data pipelining (e.g. Luigi) libraries
- Knowledge of UNIX internals and workload management systems (SLURM, SGE /UGE)
- Ability to write standards-compliant database-related code for MongoDB and MySQL
- Strong working knowledge of best coding practices (versioning, TDD, debugging)
- Strong analytical skills combined with conceptual thinking and structured working style; ability to work in a multicultural team
- Fluent in English
We offer
- Transparent wage model; disclosed margin for 7N. The aforementioned wages are target wages paid to the consultant for the subcontracted work
- Stable and long-term collaboration with various client projects
- Professional freedom; We are one of the few IT companies who do not use non-compete clauses or retention agreements
- Career development support, training and technical certification subsidies, conference participation, etc.
- Private healthcare and the Benefit Multisport card
- Collaboration with experts
- Large client and project portfolio of over 40 companies, prioritizing project continuity and ongoing personal agent support
- Full integration into the client company structure (e.g. participation in all company events, 7N Kick Off 2019: https://www.youtube.com/watch?v=i5KjJpFBNpI)
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