Data Scientist I

Description

This position is considered hybrid for candidates living in the Rochester, NY area.  

Butler/Till is a results-driven marketing agency offering deeply collaborative client experiences, proprietary technology, and world-class partnerships.  At Butler/Till, we take immense pride in our independent, women-owned and led status, our unwavering commitment to a purpose-driven approach, our B-Corp status, and our unique structure as a 100% employee-owned company (ESOP). 

SUMMARY   

Solve complex business problems by integrating and analyzing large datasets from diverse sources, including third-party platforms and relational databases (both structured and unstructured). Utilize data mining, visualization, predictive, prescriptive, and mathematical optimization techniques to identify actionable insights. Mentor and train Campaign Analytics teams, assist with training and the delivery of complex client deliverables. 

KEY OUTCOMES & RESPONSIBILITIES  

Key Outcome: Understand business problems and translate into translate into Data Requirements. 

Key Responsibilities:  

• Engage with Marketing Science senior team, Account Management, Channel Activation, and Integrated Planning teams to define business problems to be solved with data science.  
• Work with senior members of the team to determine the appropriate methodology, and mix of data transformation and analytic tools, to solve business challenges.  
• Learn to build and deliver advanced analytic products and solutions for our clients including clustering/segmentation, marketing and media mix modeling, and optimization, ROI/RoAS forecasting using regression modeling, random forest, machine learning and other techniques. 

Key Outcome: Assist in the development of Marketing Science products and services. 

Key Responsibilities:  

• Collaborate with Data Engineering and/or Software Development teams to understand, plan out and conduct complex data transformations in support of predictive/prescriptive analytics products and services, specialty dashboards and reports that leverage Data Science.  
• Assist in the creation of training materials for the Account Management and Integrated Planning teams as new Marketing Science products and services are developed and launched. 
• Work with senior members of the team to help stakeholders and clients understand the principles and the math behind the analytic methodologies used to build out our products and services.  

Key Outcome: Construct client deliverables 

Key Responsibilities:   

• Assist in the creation of PowerPoint slides to articulate methodology and techniques, with most of the content focused on insights and client business value gleaned from the Marketing Science product or service. 
• Collaborate with senior members of the Marketing Science team, Account Management, Channel Activation, and Integrated Planning teams to provide actionable insights from deliverables including clustering/segmentation, predictive models, and prescriptive analytic solutions. 
• Assist in the presentation of information using data visualization techniques.  
• Collaborate with Data engineering team to understand and plan out the implementation of scoring and other algorithms in production environments using SQL, Python, or other languages.  

Other Responsibilities:

With leadership assistance as needed, hone the ability to define problems, collect and review data, identify and evaluate data patterns and validate statistical assumptions, establish facts, draw valid conclusions, package insights, and present actionable business recommendations.  

Requirements

REQUIRED QUALIFICATIONS  

• Requires a bachelor’s degree in computer science, Data Science, Mathematics, Statistics, or a related field.  
• 2+ years of relevant analytics experience in exploratory data analysis, predictive modeling techniques, and clustering. 
• Familiarity with Media Mix Modeling 
• Extensive use of relational databases including Access, Oracle, SQL Server  
• Experience working in cloud environments such as AWS, Snowflake, and Azure. 
• Intermediate technical and programming skills in SQL and Python (or R studio) and other statistical or machine learning tools with an eagerness to become expert 
• Intermediate knowledge of statistical modeling and machine learning techniques such as linear and logistic regression, decision trees, neural networks, random forest, k-means cluster analysis, time series analysis and forecasting 
• Experience in forecasting/predictive analytics, quantitative analytics, statistical analysis, multivariate testing, and optimization algorithms in a practical setting 
• Strong verbal and written communication skills; outgoing and comfortable relating to people.  
• Independent and self-directed yet also team oriented. 
• Strong project management skills; must be well-organized and able to multi-task. Highly dependable and detail-oriented; excellent at setting and meeting deadlines with the ability to work well under tight time constraints. 

PREFERRED QUALIFICATIONS 

• Master’s degree in computer science, Data Science, Mathematics and/or Statistics 
• Experience in media data 
• Relevant experience in the healthcare industry 

CORE COMPETENCIES

• CUSTOMER FOCUS/CLIENT INTIMACY: seeking to understand client business challenges/needs and delivering continuous value to our clients
• COLLABORATIVE: working with teams and across the organization with ease 
• OWNER AGILITY: able to continuously learn and quickly adapt to changing circumstance
• RESULTS DRIVEN: accepts accountability to deliver business outcomes, even under changing circumstances. Delivers on commitments
• DISCIPLINED: Thinks, plans, and prioritizes work on an ongoing basis, plans and aligns with key team members before acting

WORK ENVIRONMENT & PHYSICAL DEMANDS

The work environment and physical demands characteristics described here are representative of those an employee encounters while performing the essential functions of this job, typically in an office setting or in a home office. An employee in this role may be in a stationary position, often standing or sitting for prolonged periods and using office equipment and computers. The noise level in the office environment is usually moderate. (I.e., business office with computers and printers, light foot traffic, etc.). Reasonable accommodation may be requested to enable individuals to perform the essential functions.

COMMITMENT TO DIVERSITY, EQUITY, INCLUSION AND BELONGING

Our dedication to Diversity, Equity, Inclusion, and Belonging (DEIB) is a cornerstone of our culture. We believe that the diversity and inclusivity of our workforce are sources of strength. As you become part of our community, you'll discover that we are dedicated to creating a positive impact, not only for our clients but also for the communities where we live and work.

EEO DISCLAIMER

Butler/Till is an Equal Opportunity Employer to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

COMPENSATION

Butler/Till is committed to providing pay transparency of our compensation philosophy and ensuring equitable pay practices for our employee owners. The compensation range for this position is $68,000 - $96,000 and represents the annual salary range in Rochester, NY. Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience.

This is just one component of Butler/Till’s total compensation package for employee owners. The total compensation package for this position may also include other elements, including ESOP (employee stock ownership plan), an annual bonus, in addition to a full benefits package, and paid time off benefits, including 100% paid parental leave. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.