IQ Workforce is a leading recruiting firm for the analytics & data science communities.

Our client has received the Adweek “Global Media Agency of the Year” Award 5 out of the last 10 years. They are currently scaling their data science practice and have several openings at the Associate Manager and Manager level.

Data Scientists deliver analytic solutions across a wide variety of client applications helping brands to connect better with the customers. They process and integrate the big data including the first-party and the third-party data and translate that data into business insights and growth solutions.

Their Data Scientists build advanced predictive models utilizing machine learning, AI and advanced statistic. They leverage data to address various types of marketing challenges such as audience creation, segmentation, identifying audience journey, optimization, customer retention, customer behavior prediction, and cross channel customer experience.

You will develop compelling actionable insights through quantitative analysis, innovative thinking, and storytelling with data. You will contribute to the delivery of smart marketing and strategic advice through the combination of data & insight.

Responsibilities include:
Create machine learning algorithms for audience targeting

Work with big data and query through big data environments

Create market basket analysis, segmentation, and index reports

Production of campaign reports and analyses according to measurement plans

Development of observations and actionable insights around campaign results

Data Storytelling of results and analyses in presentation decks/slides

Consolidation of learnings across similar campaigns

Identification of opportunities to automate any/all analyses and identify processes for efficiencies

Development of Dashboards in visualization tools such as Tableau

On-going data QA to ensure data used for reporting and analysis is accurate

Qualifications:
Bachelor’s degree or higher in in quantitative discipline or other related field of study is required at a minimum

2-3 years of experience working with data driven field, utilizing quantitative techniques to solve problems such as campaign analysis, optimization, customer segmentation, and/or predictive modeling

A strong desire to learn and passion for digital marketing, research and analytics

Ability to work well with others and work in cross functional teams

Ability to manage and prioritize a number of concurrent tasks in a fast-paced environment

Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing

Strong attention to detail

Desired Technical Skills:
Hands-on experience in implementing Machine Learning techniques for segmentation, predictive modeling, association rules, state transitions and other applications

Proficient in standard SQL (experience with complex data types viz. arrays, json, nested columns a plus)

Proficient in R or python (including pandas, numpy, sklearn, matplotlib) executed via command line in a li/unix system or in an IDE

Experience with cloud environments, (AWS) preferred

Experience optimizing processes on distributed architectures e.g. Redshift, Spark, BigQuery