1793 IT & Software Developer jobs in the US
Senior Data Scientist - Python/R Expert
$78,750 - 131,250
Trans Union LLC
West Adams Street 555, Chicago
$78,750 - 131,250
Requirements
Must:
- Graduate degree in statistics, applied mathematics, financial mathematics, computer science, engineering, operations research, or other highly quantitative fields; or a bachelors degree in a quantitative field with a minimum of three (3) years of relevant professional experience. Proven track record of academic success is required.
- At least one (1) year of experience in client-facing roles coupled with at least one (1) year of professional analytic work experience, preferably within the Financial Services sector.
- Demonstrated interest in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing, evidenced through relevant internships.
- Strong analytical, critical thinking, and innovative problem-solving abilities.
- Proficient in programming and utilizing Spark within advanced technological environments like Google Cloud Platform or Databricks; high expertise in Microsoft Office tools is essential.
- Comprehensive knowledge of Data Science and Predictive modeling techniques with extensive datasets, ideally familiar with AI or Deep Learning methods.
- Strong interpersonal and communication skills, capable of engaging effectively at various organizational levels; ability to collaborate in a fast-paced atmosphere; evidence of proactive approach.
- Excellent project and time management skills; adept at managing multiple tasks efficiently.
- Passion for linking Data Science to address business challenges related to fraud in client-oriented consulting roles.
- Willingness to travel up to 20%.
Responsibilities
- Collaborate with internal and external teams to spearhead new business initiatives and provide long-term value-added solutions to TransUnion customers. Responsibilities include developing predictive models and business intelligence solutions tailored for individual clients across various sectors.
- Lead analytic client engagements that involve descriptive, predictive, and prescriptive analyses primarily focused on fraud-related cases, employing multiple analytical techniques, especially predictive modeling and integration of various solutions. Assume ownership of the analytic components from project design to development and customer presentations.
- Identify strategies and opportunities for clients and enhance subject matter expertise to implement customized analytic products aimed at optimizing anti-fraud strategies while detecting new fraud threats. Engage directly with TransUnion Sales and business unit partners, offering analytics insights as needed.
- Develop, implement, and validate programs for data extraction, segmentation, statistical analysis, and additional data science functionalities involving large datasets using a contemporary technological infrastructure.
- Seize opportunities to deliver analytical insights and recommendations that reinforce TransUnions reputation for exceptional technological expertise and domain knowledge, summarized through concise and compelling presentations for a diverse audience.
- Nurture a high-performance workplace culture that promotes excellence and aligns with the TransUnion ethos.
Description
At TransUnion, we foster an environment where our team members can take charge of their professional growth while having access to supportive resources. We encourage pursuing passions and taking ownership of ones career journey. With the guidance of colleagues and mentors, our associates are equipped with the necessary tools to achieve their goals. Regardless of titles, everyone has the opportunity to learn and lead on a daily basis. Join us to collaborate with talented individuals, pioneering products, and cutting-edge technology. This role is hybrid, requiring a minimum of two days a week in-person at a TransUnion office.
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The company with most openings is Jobot as they are hiring for 123 different Data Engineer jobs in the United States. They are probably quite committed to find good Data Engineers.