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SRI Tech Solutions Inc.

Data Scientists

Posted 10 Hours Ago
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In-Office
Redmond, WA, USA
Senior level
In-Office
Redmond, WA, USA
Senior level
Analyze high-volume subscription and app telemetry to drive marketing decisions: churn analysis, customer segmentation, retention patterns, media-mix and CLV modeling; apply advanced analytic techniques and present strategic recommendations to senior stakeholders.
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Company 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. 

Job Description

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.

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