Stats Internships
14 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Integra | Remote | $80k - $1k | |||
tastylive | Chicago, IL, United States | $80k - $1k | |||
Integra | Remote | $80k - $1k | |||
Coinbase | New York, NY, United States | $45k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Ledger | Paris, France | $94k - $150k | |||
Openmesh | Sydney, Australia | $75k - $100k | |||
Openmesh | Sydney, Australia | $54k - $100k | |||
Keyfactor | Cleveland, OH | $54k - $100k | |||
OKX | Singapore, Singapore | $54k - $100k | |||
Gate.io | NORTH AMERICA | $15k - $72k | |||
IEX | New York, NY, United States | $80k - $1k | |||
BTG Pactual | Atlanta, GA, United States | $31k - $72k | |||
CoinFlip | Chicago, IL, United States | $87k - $2k | |||
Joint NFT | India | $115k - $2k |
Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to identify financial fraud. Integra is hiring quantitatively-skilled students/graduates with data science, data analytics, or software development experience who are interested in translating their academic interests into the real-world applications. Our team leverages a variety of data science/analytics techniques to extract meaningful insights from large datasets. As an intern you will develop tools used to collect large data sets, automate data pipelines, and perform cloud-based analytics. You will additionally gain experience at all stages of the data lifecycle in a professional environment. Â Responsibilities
Design, develop, and maintain existing tools/scripts for retrieving, ingesting, and processing data in a cloud environment Build data pipelines and transform data to support usage in econometric analysis Work with our team to identify needs, design and implement solutions, and test results Apply appropriate data mining, analytics, or NLP techniques to verify integrity of and glean information from large datasets Document processes and present results to our teamÂ
Required Qualifications
Currently enrolled in a PhD or Master's degree program in Data Science, Data Analytics, Computer Science, Software Engineering, Applied Math, or other quantitative fields Experience scripting/programming in Python (3.1x) Experience designing, implementing, or interfacing with SQL databases Experience with data cleaning and preparation Experience interfacing with REST APIs Basic knowledge of cloud computing / storage technologies Knowledge of statistical methods and machine learning techniques
 Preferred Qualifications
Strong background in SQL and Python as applied to data science, analysis, engineering, or warehousing tasks Experience with cloud based data warehousing tools (e.g., Google BigQuery, AlloyDB, CloudSQL, Amazon Redshift / Aurora, Azure Data Warehouse/Synapse, Snowflake) Experience using Github for version control At least one Python based project available for our team to review