Data Scientist

Catch Intelligence

CATCH Intelligence is looking for a talented Data Scientist. The Data Scientist is tasked with solving our most complex quantitative, statistical, and data-oriented problems. This role will use a powerful blend of business acumen, analytics, mathematics, programming, and modeling to provide strategic recommendations, insights, and products across a diverse set of business areas and industries.

Functional projects typically include deep-dive operational analyses, data wrangling and processing, programmatic automation, and predictive modeling. Our data scientist roles operate both independently and collaboratively with wide-latitude, moving in and out of dynamic teams and are often asked to tackle complicated questions that require creative solutions; candidates should be highly inquisitive, self-motivated, strong communicators, and have the ability to map out solutions with a starting point and end goal..

By supporting teams that span the entire organization, we operate in a fun, fast-paced, and engaging environment that brings new and unique challenges every day.


• Conduct advanced analyses and statistical deep-dives, with a focus on producing actionable recommendations and strategic guidance for decision makers.

• Develop and deploy custom models and algorithms using Python, R, and machine learning platforms..

• Mine, clean, process, transform and join data from a variety of sources.

• Identify, wrangle, scrape, and assemble new data sources from the web, data aggregators, and public sources.

• Build rich, interactive reports, dashboards and visualizations.

• Compile and present key findings and reports to key stakeholders, including senior leadership.

• Continuously seek out opportunities to add value through  programmatic solutions to manual tasks.

• Be a subject matter expert within the data science field. Continuously learn, grow, and explore new emerging technologies.

• Be a mentor, role-model, and resource for junior analysts and team members.

• Be an exceptional problem solver, source of creative solutions, and take the initiative to share new ideas, methodologies and strategies.



Bachelor’s degree required in a Quantitative or Programming discipline. Quantitative disciplines are those that require a heavy amount of mathematics, statistics or analysis, including (but not limited to) fields such as Math, Physics, Finance or Economics.


3+ years of experience in data analysis, or completion of a bachelor’s/master’s degree program specifically within Data Science. 2+ years of programming experience. Significant experience working with large, complex data sets and common data science tools.



• Exceptional ability to analyze and synthesize data.

• Advanced proficiency in SQL, R and Python. Experience working with database and ETL tools.

• Experience designing, building, deploying, and validating machine learning models, ideally within a business framework.

• Core understanding of statistical concepts and methods.

• Competency in the MS Office Suite.

• Highly accountable and inquisitive, able to manage multiple tasks in a fast-paced dynamic environment. Self-motivated.

• Excellent written, verbal, and interpersonal skills for coordinating across teams. Polished presentation skills preferred.


Job ID: 5376

Posted 12 days ago

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