Data Science Web3 Jobs in Remote, Remote
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
SD Solutions | Remote | $45k - $75k | |||
OpenSea | Remote | $45k - $75k | |||
QuickNode | Remote | $105k - $111k | |||
Mandana.Impact | Remote |
| |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
TipTop | Remote | $165k - $260k | |||
Injective Labs | Remote | $32k - $76k | |||
IOVLabs | Remote | $32k - $76k | |||
CoinList | Remote | $65k - $100k | |||
Dispatch | Remote | $54k - $82k | |||
VCRED | Remote | $45k - $60k | |||
Chainlink Labs | Remote |
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V3 Talent Partners Inc. | Remote | $84k - $100k | |||
OpenSea | Remote | $90k - $156k | |||
Kronos Research | Remote | $28k - $72k | |||
Injective Labs | Remote | $91k - $156k |
SD Solutions
$45k - $75k estimated
SD Solutions is looking for a Data Scientist to create a new product in the field of cybersecurity in blockchain!
SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.
Responsibilities:
- Selecting features, building and optimizing classifiers using machine learning techniques.
- Data mining using state-of-the-art methods.
- Extending the company’s data with third party sources of information when needed.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Processing, cleansing, and verifying the integrity of data used for analysis.
- Doing ad-hoc analysis and presenting results in a clear manner.
- Creating automated anomaly detection systems and constant tracking of its performance.
Requirements:
- Strong experience working as Data Science/ Data Engineer.
- Experience with common data science toolkits, such as TPOT, Python, Weka, NumPy, MatLab, etc.
- Great communication skills.
- Experience with data visualization tools, such as D3.js, GGplot, etc.
- Proficiency in using query languages such as SQL, Hive, Pig.
- Experience with NoSQL databases, such as MongoDB, Cassandra, HBase.
- Good applied statistics skills, such as distributions, statistical testing, regression, etc.
- Good scripting and programming skills.
- Data-oriented personality.