Data Science Web3 Jobs in United States
420 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
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PlanetX | Boston, MA, United States | $91k - $96k | |||
PlanetX | Boston, MA, United States | $91k - $96k | |||
Chainalysis | New York, NY, United States | $54k - $90k | |||
Braintrust | San Francisco, CA, United States |
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Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
DeFiner Inc | Minneapolis, MN, United States | $10k - $33k | |||
Gemini | United States | $91k - $96k | |||
Braintrust | San Francisco, CA, United States |
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PolySign & Standard Custody | Denver, CO, United States | $78k - $100k | |||
Cogo Labs | United States | $45k - $76k | |||
IBM | San Francisco, CA, United States | $73k - $152k | |||
Gauntlet | New York, NY, United States | $32k - $64k | |||
Ember Fund | Los Angeles, CA, United States | $32k - $64k | |||
Pagoda | San Francisco, CA, United States | $72k - $75k | |||
Blockchain.com | San Francisco, CA, United States |
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Anonym | Palo Alto, CA, United States |
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This job is closed
About the position:
PlanetX is looking for an experienced Data Scientist to join a high functioning team of data scientists who leverage data and technology to create the insights that consumers are lacking to inform their purchases.
The Senior Data Scientist and the team will directly contribute to a new experience that translates the massive power of our technology into simple and elegant solutions. You will be working with a highly skilled team where candor is prized and the exchange of ideas runs throughout its culture.
As a Senior Data Scientist at PlanetX, you will have a unique opportunity to shape the data and advanced analytics shaping our platform that will be used by thousands of people across the globe. You will be central not just to the data science team, but to the company as a whole.
Responsibilities:
- Source data from around the globe that will inform consumers as to how the products they buy impact our Planet.
- Create a variety of models, employing ML and NLP to distill the relevant product attributes to consumers.
- Leverage consumer preferences and activities to develop business intelligence models.
- Follow best practices in handling large disparate data sets and model creation.
- Provide insight to stakeholders on the product and market and play a lead role in creating new products
- Provide product marketing with insights on key differentiators and messages derived from consumer activity data
- Produce high-quality work in a fast-paced, complex, and sometimes ambiguous environment
- Lead through rapidly evolving, complex demands, including multiple projects with dependencies on other internal teams
- Establish trust with cross-functional partners and executive leadership
- Partner with product managers, researchers, engineers, and cross-functional stakeholders to understand requirements and provide creative, thoughtful solutions
- Balance qualitative and quantitative data in model formulation
- Conduct and participate in model reviews with a range of stakeholders across the organization
- Advocate for prioritization of changes, refinements, and improvements to the user experience
- Regularly present to Sr. leadership and Executive staff, using your excellent communication skills and design artifacts to effectively negotiate and persuade
Skills and Qualifications
- Master’s degree or PhD in Data Science, Mathematics, Computer Science, Quantitative Discipline, Physical Sciences or equivalent combination of education and experience
- 5+ years of work experience in constructing advanced ML analytics
- Mastery of higher level math and statistics and their application to real world problems
- Ability to express complex ideas verbally and in writing
- Strong knowledge of machine learning techniques (Python SciKit Learn, Keras, and Tensor Flow) and dimensionality reduction(PCA); experience with AWS stack preferred
- Experience of applying NLP to unstructured data
- Extra points for experience in constructing complex data ontologies and experience with Neptune.
- Experience with large disparate data sets and writing SQL queries, ideally ESG and company data.
- A passion for combining data and technology for making the Planet a better place.
- Exceptional writing and editing skills combined with strong presentation and public speaking skills
- Uncompromising ethics and sound judgment