Senior Data Scientist

Profile

**MEMBERS ONLY**SIGN UP NOW***.
We at **MEMBERS ONLY**SIGN UP NOW***. work hard every day to enrich the lives of customers through technology, whether they come to us online, visit our stores or invite us into their homes. We do this by solving technology problems and addressing key human needs across a range of areas, including entertainment, productivity, communicating with coworkers and loved ones, preparing nutritious food, providing security for your home and family, and helping you take your health to the next level.
As a Senior
Data Scientist
, you’ll take the lead applying innovative statistical and machine learning methods in a scientifically rigorous manner to dive into the largest and most complex data across the enterprise to answer the most difficult questions that are foundational to driving real-world value by offering deep insight into every aspect of the business. In this role, you will have the opportunity to be involved in the most important strategic efforts to provide analytic thought leadership that drives a data-grounded perspective to help **MEMBERS ONLY**SIGN UP NOW***. think critically and differently about all aspects of our business to improve our core capabilities and unleash the next generation of customer experiences that will transform the way **MEMBERS ONLY**SIGN UP NOW***. operates day-to-day.
Join us if you want to spend your time:
Applying scientific methods to solve real-world business problems using data
Utilizing cutting edge statistical and machine learning methods to dig deep into complex data to deliver data-driven solutions across all areas of the business including inventory optimization, supply chain, marketing, healthcare, cybersecurity, etc
Employing broad and deep knowledge of statistics, analytics, and machine learning to contribute to and enhance **MEMBERS ONLY**SIGN UP NOW***.’s core data science capabilities
Working with business partners to identify the biggest opportunities to bring **MEMBERS ONLY**SIGN UP NOW***. to the next level and influence key decisions around real products that impact and improve the lives of millions of people
Required Qualifications:
Bachelor's degree in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc) or equivalent experience.
Strong understanding of at least one focus area of data science (e.g. statistics, operations research, design and analysis of experiments, machine learning, quantitative analysis, etc)
Strong data mining skills with ability to leverage distributed processing to scale to big data
Fluency with at least one data science/analytics programming language (e.g. Python, R, Julia)
4 years of experience in data science, data analysis, data mining or other similar business functions. Advanced degrees in relevant fields may be counted towards experience requirements.
Preferred Qualifications:
Master's degree or Ph.D in a highly quantitative field (e.g. Computer Science, Engineering, Physics, Math, Operations Research, etc)
Experience using high performance machine learning and/or data mining frameworks
Experience building distributed data processing pipelines (e.g. Apache Spark, Apache Beam)
Ability to effectively communicate technical information to a wide spectrum of cross-functional team members

Company info

Sign Up Now - FinancialServicesCrossing.com