job summary:
Description:
We are seeking an experienced data science individual contributor to enable deep insights and capabilities to our clients through advanced analytics and machine learning techniques (e.g. predictive modeling, segmentation, etc)
Responsibilities :
Perform hands-on modeling and complex analyses using Python, SQL and/or R
Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO
Present media mix insights to different levels of senior clients
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
Partner with cross-functional team to streamline data science solutions
Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
Minimum Qualifications
Master's degree in statistics, economics, operations research, engineering, or related field
6+ years of industry experience in data science, measurement, marketing strategy & analytics
strng communication skills to 'tell a story' that provides insight into the business
Proficient coding skills (SQL/Python/R) and database knowledge
Extensive experience with predictive modeling algorithms
strng project management skills, including managing technical resources and multiple priorities & milestones.
You have a passion for working in a fast-paced agile environment.
A collaborative mindset and sense of curiosity
Preferred Qualifications
PhD degree in Statistics, Economics, Operations Research, or related field
Experienced in building market mix and multi-touch attribution models
Experience with advertising, measurement, and/or digital marketing analytics
Experience with advertising technology platforms Ad servers, DSPs, DMPs, etc.
Advanced programming skills with experience of creating Python modules
Experience with A/B and Multivariate test design and implementation
location: San Bruno, California
job type: Contract
salary: $59 - 69
per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities:
Perform hands-on modeling and complex analyses using Python, SQL and/or R
Build and enhance media mix models to connect the impact of marketing tactics and business short-term and long-term outcomes
Run optimization and simulation scenarios to help provide the marketing investment and allocation recommendations Marketing leadership and CMO
Present media mix insights to different levels of senior clients
Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
Partner with cross-functional team to streamline data science solutions
Integrate disparate data sources and leverage state-of-the-art analytics best practices in order to deliver integrated actionable insights to partners and senior leadership around digital marketing optimization
qualifications:
Experience level: Experienced
Minimum 8 years of experience
Education: Bachelors
skills:
SQL
SQL Server
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact ******** .
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc.
In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.
Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.
We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.
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