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The International Rescue Committee (IRC) responds to the world\u2019s worst humanitarian crises, helping to restore health, safety, education, economic wellbeing, and power to people devastated by conflict and disaster. Founded in 1933 at the call of Albert Einstein, the IRC is one of the world’s largest international humanitarian non-governmental organizations (INGO), at work in more than 50 countries and more than 25 U.S. cities helping people to survive, reclaim control of their future and strengthen their communities. A force for humanity, IRC employees deliver lasting impact by restoring safety, dignity and hope to millions. If you’re a solutions-driven, passionate change-maker, come join us in positively impacting the lives of millions of people world-wide for a better future.<\/p>\n
Job Overview<\/strong><\/p>\n The External Relations (ER) department was created in February 2020 and is comprised of 3 main but complementary functional areas: Private fundraising, Communications and Advocacy. The ER department is at the beginning stages of creating a radical and ambitious global strategy that will enhance IRC\u2019s ability to \u2018punch above its weight\u2019 in private income, advocacy, and brand awareness. The main objective of the department is to enable this organization of more than 12,000 staff to have the resources needed to continue serving 18 million people worldwide in places affected by war and disaster, shape the humanitarian sector by influencing key policies and reforms, and build and grow IRC\u2019s reputation.<\/p>\n Reporting to and collaborating closely with the Associate Director, Mass Marketing Analytics, the Global Data Scientist will be responsible for providing the analysis and recommendations that underpin the Mass Marketing Team\u2019s data-based approach to growing income at the IRC.<\/p>\n MAJOR RESPONSIBILITIES:<\/strong><\/p>\n \u2022 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.<\/p>\n \u2022 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.<\/p>\n \u2022 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, longitudinal testing and the attribution of marketing touchpoints on donor conversions).<\/p>\n \u2022 Develop comprehensive data model and reports for external benchmarking to assess performance against peers and identify opportunities for new investments.<\/p>\n \u2022 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.<\/p>\n \u2022 Support on modeling budget projections to track monthly progress and on updating models based on current trends.<\/p>\n \u2022 Partner with the Analytics team and Analytics engineer to build, monitor, and enhance the ER Analytics data model as the single source of truth.<\/p>\n \u2022 Acting as a technical leader, collaborate with fellow Analytics colleagues to ensure best practices in coding, statistics, and general analysis.<\/p>\n \u2022 Work with integrity and accountability to the \u201cIRC Way\u201d \u2013 IRC Global Standards for Professional Conduct.<\/p>\n PERSON SPECIFICATION<\/strong><\/p>\n Demonstrated Skills and Competencies:<\/strong><\/p>\n \u2022 Curiosity and willingness to explore complex and ambiguous problems and deliver actionable insights through both quantitative and qualitative data analysis.<\/p>\n \u2022 4+ years working and\/or studying in the field of data science and\/or statistics.<\/p>\n \u2022 More than two years of professional experience with SQL and relational databases.<\/p>\n \u2022 Strong data visualization and communication skills: ability to \u201ctell a story\u201d with numbers in a variety of formats: PowerPoints, dashboards, memos, and presentations.<\/p>\n \u2022 Ability to design and implement innovative and impactful change to modeling and forecasting processes.<\/p>\n \u2022 Experience in building data science models and applying advanced statistical techniques to business problems; proficiency in R, Python, or Stata.<\/p>\n \u2022 Demonstrable experience planning and executing complex analytics projects across multiple stakeholders.<\/p>\n \u2022 Knowledge of dimensional modeling and experience with workflow orchestration tools.<\/p>\n \u2022 Familiarity with PowerBI, Tableau, Looker, or other business intelligence tools.<\/p>\n \u2022 Strong attention to detail & commitment to a high standard of work product.<\/p>\n \u2022 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.<\/p>\n Nice-to-Haves \/ Areas You Will Grow:<\/strong><\/p>\n \u2022 Academic, training, or professional experience in more advanced quantitative and qualitative methods (e.g., experimental design, predicative analytics, survey design, econometrics, financial modeling).<\/p>\n \u2022 Knowledge of marketing, ecommerce, or nonprofit fundraising analytics.<\/p>\n \u2022 Experience with Snowflake and dbt.<\/p>\n \u2022 Experience with web analytics and behavioral data, and relevant tooling like Heap or Amplitude.<\/p>\n \u2022 Knowledge of Salesforce or similar CRM technology.<\/p>\n \u2022 Knowledge of mixed media modeling, incrementality testing, and attribution modeling.<\/p>\n Working Environment:<\/strong><\/p>\n \u2022 Standard office working environment.<\/p>\n \u2022 Some international travel.<\/p>\n \u2022 This role may require working remotely full or part time and part time remote employees may be required to share workspace.<\/p>\n Compensation:<\/strong><\/p>\n Posted pay ranges apply to US and UK-based candidates. Ranges are based on various factors including the labor market, job type, internal equity, and budget. Exact offers are calibrated by work location, individual candidate experience and skills relative to the defined job requirements.<\/p>\n US Benefits:<\/strong><\/p>\n The IRC offers a comprehensive and highly competitive set of benefits. All US employees are eligible for sick time, a 403b retirement savings plans: up to 4.5% immediately vested matching contribution, plus an 3-7% additional IRC contribution, and an Employee Assistance Program which is available to our staff and their families to support in times of crisis and mental health struggles.<\/p>\n In addition, full-time employees are eligible for 10 US paid holidays, 20-25 paid time off days, disability & life insurance, medical, dental, and vision insurance (employee contribution starting at $135, $7, and $5 per month respectively) and FSA for healthcare, childcare, and commuter costs. Part-time employees are eligible for a proportionate amount of paid time off. These additional benefits apply to employees who work at least 6 months within a 12 month time period.<\/p>\n **Standard of Professional Conduct:**The IRC and the IRC workers must adhere to the values and principles outlined in the IRC Way \u2013 our Code of Conduct. These are Integrity, Service, Accountability, and Equality.<\/p>\n Commitment to Gender, Equality, Diversity, and Inclusion:<\/strong> The IRC is committed to creating a diverse, inclusive, respectful, and safe work environment where all persons are treated fairly, with dignity and respect. The IRC expressly prohibits and will not tolerate discrimination, harassment, retaliation, or bullying of the IRC persons in any work setting. We aim to increase the representation of women, people that are from country and communities we serve, and people who identify as races and ethnicities that are under-represented in global power structures.<\/p>\n https:\/\/careers.rescue.org\/us\/en\/job\/req55019\/Global-Data-Scientist<\/a><\/p>\nHow to apply<\/h2>\n