job summary:
Join our innovative and collaborative Digital Transformation and Data team. As a Data Scientist, you'll influence and help the client produce value with data within our Corporate Operations Group and beyond. You will apply your broad data expertise though a mix coaching others, providing strategic advice, and performing hands-on analysis.
location: NEW YORK, New York
job type: Permanent
work hours: 8am to 4pm
education: Bachelors
responsibilities:
Join our innovative and collaborative Digital Transformation and Data team. As a Data Scientist, you'll influence and help the client produce value with data within our Corporate Operations Group and beyond. You will apply your broad data expertise though a mix coaching others, providing strategic advice, and performing hands-on analysis.
You will be responsible for:
Partnering with business leaders and coaching nascent data teams to uplift data capability
Identifying, determining feasibility, and shaping data use cases
Determining appropriate analytical, statistical or machine learning approaches to create value
Performing analysis and creating prototypes
Communicating and influencing outcomes based on data
Providing requirements to, and partnering with, technology/data engineering teams to productions data prototypes
To be successful in this role you will have the following skills and experience:
Interpreting, telling stories and creating value with data
Curious and business outcome focused with an ability to quickly understand a business area, break down a complex problem and work out how to solve it
strong collaboration skills having worked with business stakeholders at different levels of seniority and technical proficiency
Comfortable working across a wide range of data sets and systems
Broad understanding of, but not necessarily expertise in, data strategy, data visualization, data architecture and what is involved in bringing data products into production
Commercial exposure in a corporate, consultancy or start-up environment
Deep practical expertise applying statistical knowledge and machine learning to solve business problems through manipulating and analyzing data with SQL and Python or R
Proven track record of overseeing multiple data science projects at all stages, from idea generation to objectives formulation to implementation and deliverables
Excellent project management skills, with a proven track record of on-time and within-budget delivery. Exceptional ability to manage priorities across multiple stakeholders.
qualifications:
