Job Description:
Responsibilities
Manage client communications and final deliverables
Work in close collaboration with client service, channel delivery, and data implementation teams
Spearhead innovation by overseeing scalable data science solutions including predictive modeling and AI/ML solutions
Mentor team members on technical skills and general consultative skills in the service of client engagements
Lead the gathering of user stories, brainstorming sessions, development, and eventual deployment of generalized and custom analytical solutions outside of client specific work
Provide clients with recommendations driven by analysis and thought leadership
Actively lead specific team-wide learning and development initiatives, including:
Research into and the advancement of statistical or econometric methodologies
Development of both bespoke and productized data science solutions
Establish, document, and provide mentorship on best practices in data science, statistics, and computational programming
Interface directly with clients and internal leadership to deliver results of a specific analysis and guide interpretation of analytics outputs and how to implement results
Requirements
You will have a Bachelor’s, Master’s, or higher in a relevant quantitative field
10+ years of experience in data analytics
Experience with the marketing industry
Functional working proficiency with Git (GitHub & BitBucket)
Proficiency with relational databases and the cloud (AWS/GCP/Azure/Databricks)
Exposure to and understanding of several key statistical and AI frameworks:
Linear Regression, Logistic Regression, ARIMA, Decision Trees, Random Forest, Factor Analysis, K-Means, Gradient Boosting, LLMs, Computer Vision, Neural Networks, etc.
Possess the ability to mentor a team, take ownership, and operate independently to solve client requests using a combination of business domain knowledge, critical thinking, socio-emotional intelligence, and initiative
Ability to take complex subject matter and concisely communicate it to a wide range of audiences – from senior executives to deep subject matter experts.
The annual salary range for this position is $113,000-$182,850. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.
Benefits available with this position include:
• Medical, vision, and dental insurance,
• Life insurance,
• Short-term and long-term disability insurance,
• 401k,
• Flexible paid time off,
• At least 15 paid holidays per year,
• Paid sick and safe leave, and
• Paid parental leave.
Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.
To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.
#LI-MS3 #LI-Remote
Location:
USA - Remote - MarylandBrand:
MerkleTime Type:
Full timeContract Type:
PermanentDentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us know the nature of your accommodation request and your contact information. We are here to support you.
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