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Internship Data Science Trading Jobs in Texas (NOW HIRING)

Data Science at State Farm: As a Data Scientist at State Farm, you will serve as a subject matter ... Lead/mentor other data scientists, interns, and other technical work teams * Make strategic ...

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

Data Scientist

Austin, TX · On-site

$101K/yr

Bachelor degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. React js; 2. Retool, MongoDB, GraphQL; 3. ...

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data science, machine learning, or software engineering • Minimum of a Bachelor's degree is required • ...

... data science. * Interns will work in a fast-paced telecom environment shaped by emerging technologies, Network APIs, competition, and industry transformation. Ericsson is a global telecoms leader ...

Master's degree in Computer Science, Data Science, foreign equivalent or related field. Required ... internship or related occupation involving: 1. Programming language in C++, Python, and SQL 2. ...

Showing results 21-40

Internship Data Science Trading information

What is the difference between Internship Data Science Trading vs Data Analyst?

AspectInternship Data Science TradingData Analyst
Required CredentialsRelevant coursework, basic programming skills, possibly some certificationsDegree in data-related field, analytical skills, proficiency in data tools
Work EnvironmentFinancial firms, trading floors, collaborative teamsVarious industries, offices, cross-functional teams
Employer & Industry UsageFinance, trading firms, investment banksMultiple sectors including finance, marketing, healthcare

Internship Data Science Trading focuses on applying data science skills to trading strategies within financial firms, often involving real-time data analysis. Data Analysts work across industries analyzing data to inform business decisions. While both roles require analytical skills and familiarity with data tools, internships are more training-oriented, whereas Data Analysts are more experienced roles in data interpretation and reporting.

What are the most commonly searched types of Data Science Trading jobs in Texas?

The most popular types of Data Science Trading jobs in Texas are:

What cities in Texas are hiring for Internship Data Science Trading jobs?

Cities in Texas with the most Internship Data Science Trading job openings:

Data Engineer - Data Science & Technology

Castleton Commodities International

Houston, TX • On-site

$109K - $131K/yr

Full-time

Re-posted 2 days ago


Job description

Job Summary:
Castleton Commodities International (CCI) is redefining how data and technology shape the future of energy trading. They are seeking a Data Engineer to ensure seamless ingestion and management of data across platforms, implementing new data management systems and creating data ingestion pipelines.
Responsibilities:
• Execute data architecture and data management projects for both new and existing data sources.
• Help transition existing data sets, databases, and code to a new technology stack.
• Manage end to end data ingestion process and publishing to investing teams.
• Own the process of mapping, standardizing, and normalizing data.
• Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
• Help transition existing data sets, databases, and code to a new technology stack.
• Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
• Actively manage vendors and capture changes in data input proactively.
• Properly prioritize and resolve data issues based on business usage.
• Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
• Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.
• Assess gaps in current datasets and remediate.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
• 3+ years of Data Engineering experience specializing in SQL programming, data architecture, and dimension modeling.
• Experience in mapping, standardizing, and normalizing data.
• Experience with ETL/ELT frameworks to write pipelines to load millions/billions of records.
• Advanced skills in writing highly optimized SQL code.
• Experience with relational databases; Snowflake highly preferred.
• Hands-on experience developing data solutions in Python, Pandas, Numpy, etc.
• Ability to communicate and interact with a wide range of data users – from very technical to non-technical.
• Team player who is execution focused, with the ability to handle a rapidly changing set of projects and priorities, while maintaining strong professional presence.
• Ability to work effectively in a fast-paced, dynamic and high-intensity environment including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required.
Preferred:
• Experience in energy commodities or financial services is nice to have but not required.
Company:
Castleton Commodities International is an independent global commodities merchant. Founded in 2001, the company is headquartered in Stamford, USA, with a team of 201-500 employees. The company is currently Growth Stage.