Sr. Manager - Analytics and Data Science - San Francisco

Starts Within a Couple Weeks
Duration FT
Status Full-Time
Rate SALARY Up to $180,000 DOE
Our real estate client is looking for a full time Sr. Manager for Analytics & Data science to join their team onsite in San Francisco.

As Sr. Manager for Analytics & Data Science you will:
- Understanding business objectives and developing analytical solutions that help achieve them, along with KPI’s to track their progress.
- Performing various exploratory data analysis to uncover trends, insights and develop strategies.
- Leveraging generative approaches to understand user behavior and metrics of interest.
- Designing and analyzing A/B tests and Multivariate tests.
- Analyzing data and developing predictive models using machine learning and deep learning.
- Collaborate cross-functionally across internal teams (marketing, product, technology, sales, etc.) to evaluate opportunities that deliver business goals via data analysis and machine learning.
- Develop and promote a data driven approach by proactively identifying new potential analysis projects and highlight key opportunities to drive our organization forward.
- Share results and conclusions you draw to derive meaning from the data, and what business actions you think should be taken as a result of the analysis.
- Identify learnings from your analysis for how we can improve the collection and upkeep of our datasets.
- Enhancing data collection procedures to include information that is relevant for building analytic systems.
- Coordinate across departments and with our analytics providers to establish best practices and adhere to common design patterns, and work through your plans with others to troubleshoot potential issues upfront.
- Manage a team of 1 to 3 analysts and data scientists, coach, and mentor them to achieve their full potential.

Skills Required:
- Bachelor's Degree is related field
- 3+ years of experience managing analytics and data science teams
- Proficient in SQL, writing queries, and reporting.
- Proficiency with Python-based common data science toolkits such as Jupyter Notebooks, Numpy, Pandas, Scikit-learn, MatplotLib, Seaborn, NLTK, etc.
- Experience with designing and analyzing experiments (A/B tests and Multivariate tests).
- Excellent understanding of supervised and unsupervised machine learning techniques and algorithms, such as Clustering, Topic Modeling, K-Means, Naive Bayes, SVM, Decision Forests, Neural Networks, etc.
- Experience with data visualization tools, such as PowerBI and Tableau.
- Expert level knowledge on Google Analytics and Google Tag Manager

Submit resume (and samples if applicable) to:

About Creative Circle
Creative Circle is a recruiting agency, and we proudly match professionals with companies looking for talented team members. The above listing is for a role with one of our clients. Our connections at top companies get your resume in front of the right people and access to amazing positions that aren't posted anywhere else. If you’re a good fit for this role (or another we're currently working on), a local recruiter will reach out to schedule a screening interview. We present only the top candidates to our clients.

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