Posted 117 months ago
Data Scientists
AI Summary
Data Scientists 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.
About this role
Data Scientists
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.
Additional Information
All your information will be kept confidential according to EEO guidelines.