[Remote] Data Scientist
Note: The job is a remote job and is open to candidates in USA. Signify Technology is recruiting a Data Scientist for a large consumer software business supporting CRM and lifecycle marketing programs. The role focuses on analyzing marketing performance, building dashboards and reports, defining KPI frameworks, and translating data into actionable recommendations for non-technical stakeholders.
Responsibilities
- Strong SQL; writing complex queries to extract, join and transform data across relational databases
- Hands-on dashboard and report building in a BI tool, Qlik Sense specifically preferred
- Working knowledge of data pipelines and ETL tooling (Alteryx, Informatica, dbt, Airflow or similar)
- Applied statistical analysis - A/B and multivariate testing, regression, forecasting
- Lifecycle marketing and CRM strategy understanding: customer journey stages, retention, campaign optimisation
- Fluency in CRM performance metrics - open rate, CTR, CTOR, conversion, unsubscribe, churn, retention, LTV and engagement
- Audience segmentation, targeting, personalisation and dynamic content to lift campaign performance
- Campaign measurement across email, push, SMS and in-app
- Customer journey analytics - funnel analysis, cohort analysis, journey performance
- Experience with a CRM platform such as Braze, and integrating customer data for reporting
- Ability to tie CRM initiatives back to revenue, retention and loyalty outcomes
- Defining and maintaining KPI frameworks and standardised marketing reporting
- Data governance - accuracy, consistency and compliance with established standards
- Exposure to AI-enabled workflow automation, prompt engineering for data analysis, and human-in-the-loop validation of AI outputs
- Python or R for advanced analysis and automation is beneficial
- Strong data storytelling - explaining complex findings to non-technical stakeholders
Skills
- Strong SQL; writing complex queries to extract, join and transform data across relational databases
- Working knowledge of data pipelines and ETL tooling (Alteryx, Informatica, dbt, Airflow or similar)
- Applied statistical analysis - A/B and multivariate testing, regression, forecasting
- Lifecycle marketing and CRM strategy understanding: customer journey stages, retention, campaign optimisation
- Fluency in CRM performance metrics - open rate, CTR, CTOR, conversion, unsubscribe, churn, retention, LTV and engagement
- Audience segmentation, targeting, personalisation and dynamic content to lift campaign performance
- Campaign measurement across email, push, SMS and in-app
- Customer journey analytics - funnel analysis, cohort analysis, journey performance
- Experience with a CRM platform such as Braze, and integrating customer data for reporting
- Ability to tie CRM initiatives back to revenue, retention and loyalty outcomes
- Defining and maintaining KPI frameworks and standardised marketing reporting
- Data governance - accuracy, consistency and compliance with established standards
- Exposure to AI-enabled workflow automation, prompt engineering for data analysis, and human-in-the-loop validation of AI outputs
- Python or R for advanced analysis and automation is beneficial
- Strong data storytelling - explaining complex findings to non-technical stakeholders
- Hands-on dashboard and report building in a BI tool, Qlik Sense specifically preferred
Benefits
- 12 months extendable contract (or can convert to FTE)
- Remote - West Coast hours
- W2 only
Company Overview