Data Scientist - Freelance
About rebel & co.
Rebel & Co. is a full-service insights & strategy firm. We work to inspire a business revolution of intentional innovation, help businesses forge unforgettable connections, and challenge the status quo. Our teams work alongside our clients to define what’s next and help businesses innovate, strategically. Working across industries and verticals, we specialize in leveraging consumer insights, operational strategies, and technology to align innovation to consumer, market, and business strategy, resulting in a well-targeted, scalable solution that moves the needle on business goals.
about the role:
One part mathematician, one part inventor, one part developer and all parts hell-bent on creating clarity using data. You enjoy messy data and questions that have never been asked before. You value a defined pattern and can appreciate a seemingly impossible problem to solve. Math comes easy and coding is a past time. You adore a good challenge and details only help you see the much bigger picture.
The Data Scientist at Rebel & Co. works to create clarity and direction that is data driven and closely tied to business objectives. Working with various types of data, the Data Scientist is responsible for identifying valuable data points and creating data models that drive decision making. With a passion for machine learning and deep analysis, you are proficient with working with large data sets, structured and unstructured data sets, combine models through ensemble modeling, and a thorough expertise in statistical methods and mathematics.
Propose solutions and strategies to business challenges
Identify and integrate new datasets that can be leveraged in product capabilities
Work closely with engineering teams and research strategists to strategize and execute the development of data products
Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and interpret data with a clear objective in mind
Build & implement analytical models into production by collaborating with software developers and machine learning engineers
Clearly communicate the logic behind data decisions and justifications for business recommendations
Work with visual designers to accurately communicate data in to meaningful and actionable visualizations
Present information using data visualization techniques
This is a freelance position, on a per-project basis. Opportunity for full-time position is a possibility for the right candidate.
Bachelor’s degree in statistics, applied mathematics, or related discipline
5+ years experience in data science
Proficiency with data mining, mathematics, and statistical analysis
Experience across industries, verticals, or focuses, a plus
Advanced pattern recognition and predictive modeling experience
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects
Master’s degree in stats, applied math, or related discipline
2+ years of project management experience
Professional certifications, preferred
Rebel & Co. doesn’t just aim for diversity, we celebrate it, we support it, and we thrive in it. We are committed to building a team that is representative of the diverse world we live in. We strongly encourage people of color, all religious backgrounds, lesbian, gay, bisexual, queer, transgender, and non-binary people, veterans, and individuals with disabilities to apply. We are an equal opportunity employer and we welcome everyone to our team. Should you need reasonable accommodations during your application process, please let us know. We look forward to speaking with you!