BAVSocial Developer / Statistical Analyst

SicolaMartin - New York, NY

Full-timeEstimated: $100,000 - $140,000 a year
Skills
Overview
Leading brand consultancy BrandAsset® Valuator (BAV) Group, part of VMLY&R and the WPP network, is looking for an entrepreneurial coder and problem solver to join our social and verbal branding team. The BAVSocial team taps into VMLY&R’s proprietary database of consumer perceptions to inform tactical executions of both creative and business decisions.

The BAVSocial Developer / Statistical Analyst supports the Director of Brand and Social Analytics for the BAV Group by developing custom data strategy and machine learning tools. This person will focus on research and development, but will also work on a range of data-driven brand and content strategy projects for Fortune 500 clients and strategic thinking for VMLY&R and WPP new business initiatives.

We’d love to meet if you are a hard worker, intuitive thinker, team-oriented, like getting your hands dirty, and if you love talking about a great novel or movie as much as coding.

Responsibilities

GENERAL RESPONSIBILITIES:
Communicate comfortably with a range of internal and external stakeholders and be an expert at simplifying complex data, strategic thinking, or research into clear and concise descriptions
Prioritize and manage fluctuating deadlines for client deliverables and new business requests
Read and categorize online conversations using our machine learning tools, leveraging your subject matter expertise to create actionable brand and content strategies
Be able to think conceptually about cultural topics and be comfortable with ambiguity
Contribute when asked and step up to do whatever it takes to get the job done and win

TECHNICAL RESPONSIBILITIES:
Write and maintain software that pulls data from vendor APIs
Handle large datasets in popular formats like JSON, XML, as well as CSV and Excel
Export, transform, and prepare data for non-technical audience using Python or R. For example, taking data in JSON format and transforming it into a readable spreadsheet
Turn unstructured/underspecified needs for a technical solution into a technical solution; effective communication skills to get relevant information in these cases.
Keep code elegant and modular
Perform basic data processing tasks using R (e.g. aggregations, transformations, graphing, and various analytical tasks)
Leverage Python packages such as pandas, numpy, and scikit-learn to manipulate, transfer, and analyze data. Have some experience with using statistical learning packages for linear regression/basic machine learning tasks
Be able to read and write some basic VBA to make tools for analysts
Qualifications
1-3 years of experience as a statistical analyst, media planner, or market researcher
Strong understanding of Python, R, and Excel
Strong grasp of statistical concepts like regression methods, gradient boosting, and other machine-learning methods
Expertise leveraging social listening platforms (Crimson Hexagon, Infegy Atlas, etc.), as well as quantitative research tools like Simmons, Nielson, etc. is a plus
Robust understanding of the roles and metrics of online communication channels and demonstrated ability to both develop and present strategic recommendations to clients
Strong communication skills—written and verbal
Strong knowledge of Boolean query / search methodology
Strong organizational skills and ability to fluidly manage deadlines