BACKGROUND

As an emerging technology ecosystem in the heartland, Tulsa is experiencing a surge of interest from talented individuals and companies drawn to our unique value proposition. inTulsa is a talent and business matchmaker driven by a single, powerful civic mission: building a thriving tech hub in the heart of our city's growing, vibrant, and inclusive community. As a collective of programs building a vibrant and inclusive city we focus on supporting a diverse and booming economic landscape for Tulsa by forging strategic connections between talented professionals and innovative companies in future-focused industries such as advanced aerial mobility, energy tech, cybersecurity, virtual health, among others. 

PRIMARY PURPOSE AND FUNCTIONS

In this position, you will play a crucial role in managing and optimizing our data processes within Dataiku DSS (Data Science Studio). This position requires a strong foundation in Python programming and a solid understanding of relational databases. You will work to ensure the efficiency and reliability of our data pipelines, contributing directly to the success of our projects.

ESSENTIAL FUNCTIONS AND RESPONSIBILITIES

• Maintain and optimize data flows, scripts, and models within Dataiku DSS.
• Ensure the integrity and quality of data throughout the data lifecycle, from ingestion to analysis.
• Assist in the development and testing of new features, models, or data processes within Dataiku.
• Monitor performance and troubleshoot issues within Dataiku projects, proposing and implementing solutions.
• Document data processes, models, and workflows within Dataiku for internal knowledge sharing.
• Stay updated on Dataiku features and best practices, applying this knowledge to improve project outcomes.

KNOWLEDGE EXPERIENCE AND SKILL REQUIREMENTS

• Strong programming skills in Python, with experience in data manipulation and analysis libraries (e.g., pandas, NumPy).
• Conceptual understanding of relational databases and data querying.
• Familiarity with Dataiku DSS or a willingness to learn and master the platform.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively in a team environment.
• Strong communication skills, with the ability to document and explain technical details clearly.

Preferred Skills:

• Currently pursuing or recently completed a degree in Computer Science, Data Science, Engineering, or a related field; or equivalent combination of work experience.
• Experience with version control systems, such as Git.
• Exposure to other data science and machine learning tools and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Basic knowledge of data science and machine learning concepts.

Physical Requirements:

• Must be able to lift and carry up to 25lbs., for lifting supplies and materials, as needed
• Position continually requires the ability to talk and hear both in person and over the phone, visual acuity; ability to operate equipment, read, and use a keyboard
• Position frequently requires the ability to sit, walk, and stand for extended periods of time
• Position requires limited travel, predominantly for professional development and/or learning opportunities 

Hours & Location:

• This is not a fully remote position as we work in a hybrid office environment. This position will be both remote and office-based in Tulsa
• Reliable internet access and dedicated workspace in home
• Ability to travel to attend in-person meetings and work collaboratively with other team members
• There is flexibility to adjust your schedule, and your onsite hours with manager approval
• Employees working remotely must possess good time-management and organizational skills, and be self-motivated, self-reliant, and disciplined
• You must live in or be able to relocate to Tulsa, OK or the surrounding area
• This is a part-time position with an expectation of working 20 hours per week during normal business hours