Associate Statistics Director

At Adelphi Research, we strive to create a work environment that encourages and compliments individuals who are curious, who are critical thinkers who think outside the box. We are interested in people who like challenges, who are passionate about what they do, take pride in their accomplishments and appreciate being recognized for them. We want team players, critical thinkers, individuals who are flexible and excited to jump in and contribute in a team environment.

Our mission is tech forward, with a commitment to smart, valid AI integration into work streams that gives our talent more time to innovate and consult with client. If this sounds like you, and you fit the requirements of the job description, send us your resume and let’s talk.

Overall description of role:
Working as part of our dynamic Advanced Analytics team using a wide range of applied statistical techniques, AI, and interactive application development approaches to analyze data, visualize results, and interpret findings for business decision support.

Design and Analysis on Advanced/Multivariate Methods/Models

• Collaborate to help project teams design research that overcomes challenges and achieves clients’ business objectives
• Independently build models/quality check others’ models and associated tools for specific business needs, including design and improvement of models for branded solutions
  
  Build and Enhance Statistical Methods/Tools
• Proficiency in multiple advanced methodologies (e.g., regression, conjoint, segmentation, pricing, structural equations modeling, belief networks, factor analysis, etc.)
• Evaluate new methodologies for their robustness and application; integrate into Adelphi offerings
• Automate and build efficiencies in the analysis process (e.g., data checking, quick assessment of segments, stacking of data for driver analysis, automation of dashboard outputs, etc.)
• Contribute as part of team to on-going integration of AI into portfolio and process for value add and efficiency
  
  Liaise with Project Team
• Client-facing member of the proposal/project team for advanced methods presentations, dialogue, application demonstrations
• Proactively looks to add value at the proposal stage, proposes ideas and assists project teams in articulating them verbally, in writing
• Provide input into project design elements to optimize for statistical analysis
• Create standards and quality checklists to help others understand how questionnaire design affects subsequent analyses
• Lead analytic brainstorming with advanced methods and project teams to solve analytic challenges and create bespoke analysis elements on the fly

• Go-to coach for advanced methods team coaching on statistics, coding, model/app development
• Established leadership/expertise in one or more “best practice” areas, drives and maintains documentation, trains fellow group members in the optimal use of tools and techniques
• Supports overall team scheduling in addition to planning and managing own resource levels in co-ordination with data services and research teams
• Maintains/updates intra- and inter-team processes
• Commercial awareness of the cost of analytics time, including providing information for project costing purposes
• Able to evaluate statistical outputs in business context, gauge quality of analysis against business need, and proactively iterate prior to sharing solutions internally

• Master’s or doctorate degree, or equivalent applied experience
• Minimum of 6-8 years of experience
• Broad knowledge of statistical techniques
• Experience with data manipulation, weighting, sample size calculation and significance testing
• Proficiency building war gaming/simulation models/interactive dashboards (R-Shiny, Excel, VBA, or other applications)
• Excellent ability to understand and work with numbers
• Ability to work to tight client driven deadlines
• Experience with multivariate statistics (regression, conjoint and discrete choice methods and segmentation)
• Ability to explain analyses and statistical outputs in terms non-statisticians can understand

• Proficient in modelling with…