What are the responsibilities and job description for the Data Scientist position at Red Oak Technologies?
““NOTE: If selected for this position, you are required to perform ALL work within a commutable distance of your assigned Worksite Location. Three days a week onsite, Tues, Wed, Thurs, with Monday and Friday being remote”
Data Scientist/Data Preparation Specialist for Austin, TX for a 12-month Contract.
Responsibilities:
Data Scientist with expertise in data preparation to join our team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data is clean, reliable, and accessible for analytical and business needs. This role requires proficiency in ETL/ELT processes, database management, and working with big data technologies.
- Collect, clean and preprocess large datasets to ensure data quality and consistency
- Extract data from various sources (databases, APIs, Logs, etc)
- Transform raw data (cleaning, formatting, structuring).
- Ensure scalability and reliability of data pipelines.
- Ensure data is reliable, accessible and scalable
- Extract insights and build predictive models.
Required Skills & Qualifications:
- 8 years of experience in data science, data preparation, or related roles.
- 8 years strong Python programming experience.
- Strong experience with Numpy, Pandas and Scikit
- Strong experience with LLM models
- Experience with machine learning model data preparation.
- Strong proficiency in SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server).
- Experience with ETL tools (e.g., Apache Airflow, Talend, Informatica) and data transformation techniques.
- Knowledge of big data technologies (e.g., Spark, Hadoop, Kafka, Databricks).
- Hands-on experience with AWS cloud
- Experience with data modeling, data warehousing, and database management systems.
- Strong analytical and problem-solving skills with an eye for detail.
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related field.
Preferred Qualifications:
- Fintech, Banking or Payment processing experience is a plus
- Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
- Familiarity with real-time data processing and streaming technologies.
- Certification in cloud data engineering (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).
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Red Oak Technologies is a leading provider of comprehensive resourcing solutions across a variety of industries and sectors including IT, Marketing, Finance, Business Operations, Manufacturing and Engineering. We specialize in quickly acquiring and efficiently matching top-tier professional talent with clients in immediate need of highly skilled contract, permanent or project management-based resources.
Red Oak Technologies is made up of people from a wide variety of backgrounds and lifestyles. We embrace diversity and invite applications from people of all walks of life. See what it’s like to be at the top; connect with one of our recruiters and apply today.
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