Data Scientist, Product Oversight

Details

Challenging. Surprising. Fast-paced. Purposeful. Life at Bloomberg is many things, but it’s never dull. We’re a truly global business with a truly diverse workforce. We pride ourselves on being open, inclusive and collaborative, providing a work environment that inspires our employees to be their best. At Bloomberg, we work on purpose. All of us engage in meaningful work, delivering leading edge products and solutions that shape the industry and are critical to our customers.

Our Team:

An exciting and new opportunity has opened up to join the Bloomberg Product Oversight team in New York. Our team dives deep into the very roots of our clients' workflow to gain a comprehensive understanding of their business. We align our clients' workflow and data consumption with the appropriate contractual framework and Bloomberg offering, protecting both our clients and our organization. Using a consultative and analytical approach, we examine client data workflows, content licensing frameworks, and strategic initiatives working closely across all internal lines of business.

Responsibilities

• Design end-to-end machine learning models to answer targeted business questions and drive change
• Perform large-scale data analysis and manipulations to extract insights and influence business decisions
• Organize and analyze data to identify historical patterns to better position workflows
• Integrate into the team and partner with other analysts on department-wide initiatives
• Research, develop, and implement new methods of extracting relevant data from a variety of sources
• Collaborate and consult with business colleagues to better understand their domain
• Design, prototype, and implement technical solutions using a combination of proprietary, third party and open-source technology
• Build operational dashboards, KPIs/metrics, and present findings verbally and in writing

Requirements

• 5+ years of data science / machine learning experience
• Strong foundational programming skills with deep expertise in Python and SQL
• Ability to write clean, efficient, and optimized code for data processing, analysis and model deployment
• Hands-on experience building end-to-end machine learning models with post-deployment best practices
• Ability to assimilate, decipher, and present data analysis from a client impact perspective
• Ability to run multiple projects at a time and shift priorities quickly
• Strong analytical skills, troubleshooting, and ability to trace root causes
• Excellent written, verbal, and presentation communication skills

Preferred

• Experience with client services within the tech/financial industry
• Strong knowledge of supervised and unsupervised anomaly detection algorithms
• Experience with big data tools and infrastructure (Hadoop, Spark)

Compensation & Benefits

• Salary Range: 190000 - 220000 USD annually, plus benefits and bonus
• The role references a comprehensive benefits plan including merit increases, incentive compensation (for exempt roles), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) with match, life insurance, and various wellness programs. The company does not provide benefits directly to contingent workers/contractors and interns.