Job Description

This position is considered hybrid for Rochester, NY employees.

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 members of the Marketing Science and Campaign Analytics teams, assisting with training and complex client deliverables.

KEY OUTCOMES & RESPONSIBILITIES

Key Outcome: Understand Business Problems and Translate into Data Requirements

Key Responsibilities:

• Collaborate with Account Management, Channel Activation, and Integrated Planning teams to define business problems solvable by data science.
• Determine the appropriate methodology and mix of methodology, techniques and analytic tools to address business challenges.
• Develop and deliver advanced analytic products and solutions, including clustering/segmentation, marketing and media mix modeling, attribution measurement and optimization, ROI/RoAS forecasting using regression modeling, random forest, machine learning, and other techniques.
• With leadership assistance as needed, offer thought leadership for project recommendations.
• Mentor Data Scientist I and II in more complex methodologies and tools, demonstrating technical leadership for the team.

Key Outcome: Develop Marketing Science Products and Services.

Key Responsibilities:

• Collaborate with Data Engineering and Software Development teams to perform complex data transformations and establish automated data processing for predictive/prescriptive analytics products and services.
• Help stakeholders and clients understand the principles and methodologies behind the analytic products and services.
• Research and explore tools and techniques that continue to elevate our Marketing Science offerings in pursuit of Agency capability awareness, recognition and growth, making recommendations to Principal, Manager, and Director.
• Assist Data and Software Engineers with Marketing Science applications relying on model algorithms and putting code into production.
• Identify areas of improvement for enhancing process efficiency while maintaining a high degree of accuracy.

Key Outcome: Construct client deliverables.

Key Responsibilities:

• Collaborate with Account Management, Integrated Planning, and Channel Activation teams to provide actionable insights, grounded in the client business context, from our Marketing Science solutions.
• Present information using data visualization techniques.
• Collaborate with Data engineering team to implement scoring and other algorithms in production environments using SQL, Python, or other languages.

Other Responsibilities:

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

QUALIFICATIONS

REQUIRED QUALIFICATIONS

• Requires a Bachelors Degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
• 6+ years of relevant analytics experience, specifically in machine learning and advanced techniques.
• Expert 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
• Expert in forecasting/predictive analytics, quantitative analytics, statistical analysis, multivariate testing, and optimization algorithms
• Deep experience working in cloud environments such as AWS, Snowflakes, and Azure; with the ability to provide requirements for environments needed to delivery Marketing Science solutions
• Extensive use of relational databases including Access, Oracle, SQL Server
• Expert technical and programming skills in SQL and Python (or R studio) and other statistical or machine learning tools
• Strong verbal and written communication skills; outgoing and comfortable relating to people
• Independent and self-directed yet also team oriented
• Possess the capability to independently conduct research and identify the most effective solutions for problem-solving. This entails a proactive approach to gathering information, analyzing data, and applying insights to address complex challenges within the business context
• 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.
• Ability to interact with all levels of the Agency, including Senior Leadership, demonstrating proficiency in Data Science but also the values and behaviors most dear to B/T
• Willingness to enthusiastically mentor members of the Marketing Science team

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 ENVIORNMENT & 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 $99,000- $138,000 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.

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