BN31P1 Data Scientist

CAS uses intuitive technology, unparalleled scientific content, and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge and, for 117 years, has helped innovators mine, assess, and apply that information to keep businesses thriving. The CAS team is global, diverse, and endlessly curious and strives to make scientific insights accessible to innovators worldwide.

CAS is currently seeking a Data Scientist. This position will be located in our headquarters in Columbus, Ohio.

Job Summary:

Data scientists are passionate about data and applying analytical methods while simultaneously understanding the business context in order to arrive at a solution. Data scientists add business value by leveraging vast quantities of data and building accurate mathematical models. Data scientists are skilled in putting well-defined parameters around potentially ambiguous problems, evaluating success based on business-important criteria, and applying modern artificial intelligence and machine learning techniques to large datasets to solve complex business problems.

Job Qualifications:

• Develop, plan, and execute analytical projects as an individual contributor and in teams
• Synthesize analytical findings for consumption by business partners within CAS
• Participate in multiple assigned research projects
• Organize data from many different types of sources and at significantly varying scales for subsequent analysis
• Critically evaluate data for quality measures such as completeness, accuracy, and applicability, applying understanding of relevant research area nomenclature
• Solve unusual problems using a combination of appropriate statistics, machine learning, and computational methods
• Create technical reports and presentations, describing results with visualization in a manner that the client can understand
• Present research results to clients and participate in scientific conferences, peer review panels, and increase company visibility through publications
• Perform other duties as assigned

Qualifications:

• Bachelor's Degree in Data Science, Statistics, Economics, Applied Mathematics, Operations Research, or Physics with 0-2 years of experience.
• Experience across a range of modern data science and analytics tools (e.g., SQL, Hive, Hadoop, Spark, Python, R)
• Experienced with data cleansing, reconciliation, conversion, and validation
• Understanding of various artificial intelligence and machine learning techniques to create models that drive significant business results
• Demonstrated analytical, multi-tasking, problem solving, organizational, and planning skills
• Ability to interpret reports, analyze trends and provide insights
• Strong written and verbal communication skills. Demonstrated ability to communicate complicated statistical analytical concepts in a simplified, comprehensible manner.
• Collaborative team player: Selfless, places team above self. Embraces feedback and shares knowledge with team.
• Establish and manage relationships with clients and internal partners
• Plan and carry out appropriate professional self-development activities
• Ability to travel as required

Desired, but not required:

• MS in Statistics, Economics, Applied Mathematics, Operations Research, Physics, Data Science fields
• Experience with Natural Language Processing
• Knowledge and experience in chemistry, drug discovery/development, or life science related industry
• Conducting analyses using cloud platforms
• Experience delivering analytics in a consulting role

CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Minority/Female/Disabled/Veteran