Data Scientists
SRITechSolutionsInc
Posted: October 26, 2016
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Quick Summary
Analyze complex, high-volume, high-dimensionality data from varying sources including subscription and app usage telemetry data to provide customer insights to drive key business decisions.
Required Skills
Job Description
SRI Tech is an IT staffing and solutions firm that serves clients with a full range of IT services that we deliver effectively and efficiently. Ranked in the top 20% of the fastest growing companies in the US by Inc. 5000 - SRI Tech is fast growing & dynamic firm maintaining its speed to be one of the leaders in serving IT.
Position: Data Scientists
Location: Redmond WA
Duration; 6+ Months
Job Description:
Analyze complex, high-volume, high-dimensionality data from varying sources including subscription and app usage telemetry data to provide customer insights to drive key business decisions
• Subscription lifecycle marketing
• Churn driver analysis
• Consumer usage segmentation
• App usage & retention pattern
Work on broader business problem to drive marketing strategy e.g.
• Media mix analysis
• Customer lifetime value, engagement model
• App usage and retention pattern
Minimum Requirements:
• 5-7 years’ experience with marketing measurement, analytics and reporting including deep experience in marketing domain and also with survey data (sampling, experimental design, statistical testing and other forms of non-survey based data (e.g. behavioral data)
• At least 2-3 years’ experience in hands-on involvement in customer and market data analysis using advanced analytic techniques such as CART/ Decision Tree, cluster, regression, factor, bayes nets, neural nets, agent-based modeling.
• Ability to “talk” in advanced analytical language and also translate business issues into technical language and vice versa.
• Ability to maintain balance between solid “pragmatism” and “scientific rigor” to meet the needs of a dynamic business
• Experience in developing and presenting strategic recommendations from complex analytics in an easy and engaging manner for executive/senior-level audiences.
• Experience with statistical packages such as SAS, R, Power Views and deep experience with advanced Excel functionality
• Working knowledge of leading analytic environments, for both structured (relational data warehouses, SQL, etc.) and unstructured data (COSMOS, Cassandra, Hadoop, Web trends, Omniture, etc.).
• Undergraduate degree a must. MBA or Masters/PhD in Business or a Quantitative Discipline preferred.
Success Factors include: Strategic Thinking, Business & Strategy Leadership, Influence and Impact, Cross-Group Collaboration, Communication Skills, Courage and Conviction, Drive for Results, and Organizational Agility.
All your information will be kept confidential according to EEO guidelines.