Data Scientist (1-month Contract)

March 19

Deep Science Ventures

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We are creating a future where humanity and the planet can thrive (and we're hiring!)

Energy • Convergent science • Oncology • Food & Agriculture • Drug delivery & targeting

11 - 50

Description

• Access and structure company data and related taxonomies from databases such as Sightline and PitchBook API. • Perform deep dives into climate technology company profiles, including deals, off-take agreements, financial data, team, revenues and IP. • Work with DSV’s climate team to design criteria for evaluating commercial strength and viability for climate tech companies. • Drive the development of databases and analytical tools to identify early warning signs of potential First-of-a-Kind climate companies and rank use cases for further investigation. • Collaborate closely with DSV’s cross-functional development teams to refine data collection processes, improve data reliability and use existing LLM infrastructure for advanced reasoning over the above data.

Requirements

• Masters or PhD in Computer Science, statistics, computer science, physics or related STEM discipline from a top-tier university. • 3+ years experience in a data science role. • World-class computing skills, working with large unstructured data-sets and creating techniques to parse and process them. • Has worked with large-scale structured and unstructured data sets and can script to automatically collect, validate and link across symbologies. • Have a strong grasp on a scripting language, a sharp eye for wrangling ordered and unordered text, an ability to scrape and crawl sites, work with API's and a passion for data. • Working knowledge of modern database technologies - relational (e.g. MSSQL, postgreSQL, OracleDB) and/or NoSQL backends (e.g. MongoDB, Cassandra, Redis). • Extensive experience working with scripting (Python). • Experience with the Python data science stack (numpy, scipy, pandas, sklearn, tensorflow, etc.). • Data processing: cleaning, dealing with outliers and missing values, feature engineering and feature selection. • Experience with version control systems (Git), collaboration tools (issue trackers, shared repos, etc).

Benefits

• Competitive salary • Full benefits package • Flexible work schedule • Opportunity to work with a global venture creator