Data Scientist/Senior Data Scientist
Location
United States + 180 moreAll locations: United States, Canada, Brazil, Colombia, Argentina, Chile, Venezuela, Bolivarian Republic Of, Bolivia, Plurinational State Of, Ecuador, French Guiana, Guyana, Paraguay, Peru, Suriname, Uruguay, Mexico, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama, Dominican Republic, Puerto Rico, Bahamas, Guadeloupe, Haiti, Jamaica, Martinique, Montserrat, United Kingdom, Germany, France, Estonia, Portugal, Hungary, Poland, Ukraine, Romania, Bulgaria, Czech Republic, Slovakia, Belarus, Moldova, Republic Of, Sweden, Greece, Belgium, Italy, Ireland, Switzerland, Netherlands, Finland, Malta, Denmark, Lithuania, Croatia, Spain, Austria, Bosnia And Herzegovina, Iceland, Luxembourg, Macedonia, The Former Yugoslav Republic Of, Montenegro, Norway, Serbia, Slovenia, Albania, Cyprus, Latvia, Monaco, South Africa, Egypt, Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central African Republic, Chad, Congo, Côte D'ivoire, Congo, The Democratic Republic Of The, Equatorial Guinea, Eritrea, Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-bissau, Kenya, Lesotho, Liberia, Libyan Arab Jamahiriya, Madagascar, Malawi, Mali, Mauritania, Mauritius, Mayotte, Morocco, Mozambique, Namibia, Niger, Nigeria, Réunion, Rwanda, Senegal, Seychelles, Sierra Leone, Somalia, Sudan, Swaziland, Tanzania, United Republic Of, Togo, Tunisia, Uganda, Zambia, Zimbabwe, Georgia, Turkey, Israel, United Arab Emirates, Armenia, Azerbaijan, Bahrain, Iraq, Jordan, Kuwait, Lebanon, Oman, Qatar, Saudi Arabia, Palestinian Territory, Occupied, Yemen, India, Japan, Philippines, Pakistan, Thailand, Singapore, Viet Nam, Taiwan, Province Of China, Indonesia, Cambodia, Lao People's Democratic Republic, Malaysia, Myanmar, Korea, Republic Of, China, Afghanistan, Bangladesh, Bhutan, Kazakhstan, Kyrgyzstan, Maldives, Mongolia, Nepal, Sri Lanka, Tajikistan, Turkmenistan, Uzbekistan, Australia, Papua New Guinea, Kiribati, Palau, French Polynesia, Tuvalu, New Zealand
Posted
10 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
As a Data Scientist/Senior Data Scientist, you will drive our predictive analytics innovation. Your primary goal will be to design, build, and deploy new predictive models across our entire product suite, including iWave, Ascend, and AdvancementRM.
- Build Predictive Models: Design and implement machine learning models to predict donor behavior, giving capacity, and engagement propensity across all Kindsight products.
- Maximize the Value From Client and Third-Party Data: Evaluate the wide-range of data gathered from clients and current third-party vendors to identify new metrics and insights using existing data.
- Identify New Data Collection Opportunities: Identify additional data that could be collected within each product to develop stronger predictive models.
- Benchmarking: Design new metrics to benchmark client fundraising potential and performance.
- Partner with Head of AI: In close collaboration with our Head of AI, build agents and generative AI that leverages new predictive model results to fuel fundraising efforts.
For Sr Level, in addition to the above:
- Architect & Mentor: Lead the design of scalable ML pipelines and mentor junior data scientists on best practices in statistical modeling and experimental design.
Qualifications
- Intermediate Experience: At the junior level, 3+ years of data analytics, data science, and machine learning experience.
- Senior Experience: 6+ years of data analytics, data science, machine learning experience, and preferably management experience. Experience working in Agile environments, with a strong understanding of Scrum principles.
- Technical Acumen: Mastery of Python or R to clean, structure, and model data. Preferably, experience with AWS.
- Problem Solving: Strong, detail-oriented problem solving skills and ability to work independently.
- Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams.
Bonus Points
- Familiarity with Salesforce
- Familiarity with CRMs, ERPs, or fundraising technology.
Compensation Range
$110k-$175k CAD base annually, plus bonus, based on experience, market benchmarks, and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.
Equal Opportunity Statement
This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.
AI Tools in Recruitment
We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.
Job Requirements
- Intermediate Experience: At the junior level, 3+ years of data analytics, data science, and machine learning experience.
- Senior Experience: 6+ years of data analytics, data science, machine learning experience, and preferably management experience. Experience working in Agile environments, with a strong understanding of Scrum principles.
- Technical Acumen: Mastery of Python or R to clean, structure, and model data. Preferably, experience with AWS.
- Problem Solving: Strong, detail-oriented problem solving skills and ability to work independently.
- Excellent Communicator: Strong written and verbal communication skills with a focus on internal communication across teams.
- Bonus Points
- Familiarity with Salesforce
- Familiarity with CRMs, ERPs, or fundraising technology.
- Compensation Range
- $110k-$175k CAD base annually, plus bonus, based on experience, market benchmarks, and role complexity. We aim to offer fair, competitive pay that reflects your skills and the market.
- Equal Opportunity Statement
- This advertised position is for an existing vacancy at Kindsight. At Kindsight, we’re proud to be a place where everyone belongs and has an equal opportunity to contribute, thrive and grow. We hire based on skills, potential, and impact, and we believe our differences fuel innovation. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. We’re building a workplace where everyone has the opportunity to do meaningful work and make a difference.
- AI Tools in Recruitment
- We leverage artificial intelligence (AI) tools to support certain aspects of our recruitment process. These tools may help with resume screening, drafting job descriptions, creating interview questions and occasionally identifying potential candidates. All hiring decisions are made by our people, not AI. Our intent is to use AI thoughtfully to streamline administrative tasks, improve the candidate experience and support fair, unbiased hiring practices consistent with industry standards.
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