Global Data Scientist
Role details
Job location
Tech stack
Job description
You will work closely with Mass Marketing, Philanthropy, and Marketing & Mobilization to translate data into actionable strategies, using your technical skills to uncover patterns, predict trends, and deliver high-impact models that drive additional income at the IRC., * Translate broad questions into analysis that will drive strategy, hold business owners accountable to their goals, and inform senior leadership of areas for growth and improvement.
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Work on all aspects of the analysis pipeline: problem definition, requirements gathering, data cleaning, exploratory analysis, crafting recommendations and translation of findings to nontechnical stakeholders across various functions and levels of the organization.
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Lead the development of advanced analytics products to improve the impact of fundraising efforts and investments (such as predictive modeling to identify donors likely to upgrade or lapse, donor segmentation models, longitudinal testing and the attribution of marketing touchpoints on donor conversions).
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Develop comprehensive data models and reports for external benchmarking to assess performance against peers and identify opportunities for new investments.
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Monitor trends in key performance indicators (such as return on investments, donor lifetime value, sustainer revenue, and churn rate) and analyze behavior of key segments (e.g., leads, sustainers, mid value donors, lapsed donors) to inform revenue projections and investments in new channels & programs.
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Support on modeling budget projections to track monthly progress and on updating models based on current trends.
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Partner with the Analytics team and Analytics engineer to build, monitor, and enhance the ER Analytics data model as the single source of truth.
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Acting as a technical leader, collaborate with fellow Analytics colleagues to ensure best practices in coding, statistics, and general analysis.Work with integrity and accountability to the "IRC Way" - IRC Global Standards for Professional Conduct. *, * Standard office working environment.
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Some international travel.
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This role may require working remotely full or part time and part time remote employees may be required to share workspace.
Criteria in the Person Specification marked with ** are the minimum criteria in line with our commitments under the Disability Confident Employer Scheme in the UK.
UK based candidates who state that they have a disability and meet these criteria will be invited to interview.
Standard Responsibilities:
- Promote and actively participate in initiatives and efforts to build team engagement, inclusion and cohesion in IRC London office
- Foster ongoing learning, honest dialogue and reflection to strengthen safeguarding and to promote IRC values and adherence to IRC policies, Narrowing the Gender Gap: The IRC is committed to narrowing the gender gap in leadership positions. We offer benefits that provide an enabling environment for women to participate in our workforce including flexible hours (when possible), enhanced maternity/adoption leave and pay and gender-sensitive security protocols.
Candidates must have the right to work in the UK.
IRC UK strives to be an equal opportunities employer. IRC UK is committed to equality of opportunity and to non-discrimination for all job applicants and employees, and we seek to ensure we achieve diversity in our workforce regardless of gender, race, religious beliefs, nationality, ethnic/national origin, sexual orientation, age, marital status or disability.
IRC UK welcomes applications from all candidates, including underrepresented groups and refugees who have the right to work in the UK.
IRC UK will ensure that individuals with disabilities are provided with reasonable adjustments to participate in the job application and/or interview process, and for essential job functions if appointed to a role. Please contact us if you may need such adjustments.
Recruitment Process:
The process for this role will be as follows:
- Screening call online
- First round panel interview online - including assessment / test
- Second round panel interview - online - including presentation task
- Final role and expectations alignment call with Senior Director, online
Requirements
Do you have experience in Tableau?, We are looking for an experienced and highly analytical Data Scientist to join our team, focusing on marketing and behavioral modeling. In this role, you will utilize your expertise in statistical analysis and machine learning to develop advanced models that drive donor insights, optimize marketing strategies, and influence business decisions., * 3+ years working in the field of data science and/or statistics.**
- Proven track record of building and deploying models that drive business outcomes in a marketing or customer-facing context.**
- Demonstrable experience planning and executing complex analytics projects across multiple stakeholders.**
- Experience with at least two of the following: marketing mix models, customer segmentation, churn prediction, CLV models, and attribution analysis.**
Technical Skills
- More than two years of professional experience with SQL and relational databases.**
- Advanced knowledge of Python (Pandas, NumPy, Scikit-learn, etc.) and/or R for data manipulation, analysis, and modeling.**
- Knowledge of dimensional modeling and experience with workflow orchestration tools.**
- Familiarity with PowerBI, Tableau, Looker, or other business intelligence tools.**
Soft Skills
- Curiosity and willingness to explore complex and ambiguous problems and deliver actionable insights through both quantitative and qualitative data analysis.**
- Desire to work in a multi-cultural environment and collaborate with people from different backgrounds and experiences, with a partner-first approach to interacting with stakeholders.**
- Strong data visualization and communication skills: ability to "tell a story" with numbers in a variety of formats: PowerPoints, dashboards, memos, and presentations.**
- Strong attention to detail & commitment to a high standard of work product.**
Nice-to-Haves / Areas You Will Grow:
- Knowledge of marketing, ecommerce, or nonprofit fundraising analytics.
- Experience with Snowflake, Databricks, and dbt.
- Experience with web analytics and behavioral data, and relevant tooling like Heap or Amplitude.
- Knowledge of Salesforce or similar CRM technology.