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Data Scientists

SRI Tech Solutions · Redmond, WA, United States

Weak hiring record · median 3718 days open

2222

Hiring signal

Ghost risk

Open 3658 days · How we score

All reasons
  • Open 3658 days
  • 100% of this employer's openings are over 60 days old

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  • Still listed on the employer's own board

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Data Scientists at SRI Tech Solutions. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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.

Skills

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