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Sr. Data Science and Analytics
Ref No.: 18-05959
Location: San Francisco, California
Position Type:Contract
Sr. Data Science and Analytics
San Francisco, CA
ASAP through Oct for now

Main duties and responsibilities:
• Azure Client Studio, AML, Python/R
• Spark GraphX and Gremelin
• Bayesian Network
• Probabilistic and deterministic view models
• Directed Acylic Graph (DAG) and scoring

Deliver Data-driven, actionable insights
•Leverage advanced analytics and statistical tools to explore and analyse data from multiple sources, and elevate the conversation with clients •Present insights to clients and account teams in a compelling and relevant story with recommendations backed by robust analysis
•Develop strategies to help clients activate their analytics and create a more data-driven culture
•Manage and develop a team of analysts to: build deep subject matter expertise in Marketing Analytics, create intellectual property and differentiate SapientRazorfish's value proposition
•Develop a high performance team with diverse analytics capabilities including analytics implementation, quantitative analysis and customer analytics
•Provide strategic guidance on analytics and measurement strategies, while leading by example with an active delivery role
•Develop an intimate understanding of our clients business and their customers, and pro-actively identify ways to help our clients achieve their goals
•Work closely with account teams to identify opportunities, participate in sales pitches and strengthen SapientRazorfish's leadership position in digital transformation
•Collaborate with cross functional teams, including creative, design and technology to shape meaningful customer journeys and customer centric thinking

Experience Guidelines:
•8-10+ years of experience in Data Science, Marketing Analytics, Digital Marketing, or a business related fields. •Bachelor's degree, in Marketing, Business, Engineering or a related field. MBA preferred
•Passion for digital analytics, working with data and deriving insights to answer client business questions •Experience leading and delivering marketing analytics engagements
•Strong knowledge of the digital space and digital analytics •Strong communication and client service skills
•Strong organizational skills and attention to detail
•Strong consultative skills and the ability to challenge status quo and gain adoption •Comfort with working in and contributing to a fast-paced, team based environment
•Management or mentorship experience - providing training, project support, career advice and delegated responsibilities
•Expertise in leading implementations of marketing platforms including: Adobe, Google, Salesforce, Oracle or IBM. Emphasis on their analytics, campaign and testing capabilities
•Proficiency in advanced analytical tools including: SAS, SQL or R •Proficiency in data visualization tools including: Tableau or Domo
•Good understanding of advanced statistical techniques, including uplift modeling, logistic regression and cluster analysis •An understanding of master data management principles and data governance best practices
•A good understanding of machine learning techniques and tools
•Proven ability to influence stakeholder and senior leaders, and manage organizational change •Recruit and Manage team of 'rock-star' analysts
•Build a customer obsessed culture and grow our business