Job summary
Job post source
This job is directly from Affinaquest
Job overview
The Data Scientist role at Affinaquest involves advancing the Client Data Platform and analytics to empower fundraising and athletic operations through machine learning and data analysis.
Responsibilities and impact
The role requires developing and evolving machine learning models using Azure ML, Snowflake, dbt, and Airflow, collaborating with product teams, and delivering actionable insights to clients.
Compensation and benefits
The position offers a salary range of $150,000 to $160,000 with no travel required and a hybrid office policy at Scottsdale, AZ headquarters.
Experience and skills
Candidates must have a BS in data science or related fields, 5+ years in software development, 3+ years in SQL data manipulation, 2+ years in model validation, and experience with Python and machine learning frameworks; Azure ML and fundraising analytics experience are preferred.
Work environment and culture
Affinaquest promotes innovation, collaboration, and technical curiosity with a hybrid work environment fostering community engagement.
Company information
Affinaquest is a market-leading Salesforce ISV specializing in institutional advancement and collegiate athletics, serving top fundraising institutions and Power-5 athletic programs with advanced data analytics and CRM solutions.
Team overview
The Data Scientist will join the Product Engineering team, reporting to the Sr Manager of Product Engineering and working closely with Product Leaders and the Product Delivery Team.
Job location and travel
The role is based at Affinaquest's corporate headquarters in Scottsdale, AZ, with a hybrid office policy requiring presence three days a week.
Unique job features
The job features advanced use of Azure Machine Learning, MLOps practices, and evolving data science tools to innovate predictive and prescriptive analytics in fundraising and athletics.
Company overview
Affinaquest is a leading provider of cloud-based software solutions designed to help organizations manage and optimize their constituent relationships. The company primarily serves educational institutions, nonprofits, and sports organizations by offering a suite of products that facilitate data-driven engagement strategies, fundraising, and donor management. Affinaquest generates revenue through subscription-based services, providing clients with tools to enhance their operational efficiency and deepen their connections with supporters. Founded in 2010, Affinaquest has grown by acquiring complementary businesses and expanding its product offerings, establishing itself as a key player in the constituent relationship management (CRM) sector.
How to land this job
Position your resume to highlight your expertise in Azure Machine Learning, Snowflake, dbt, and Airflow, emphasizing your ability to develop and deploy machine learning models within a product engineering environment at Affinaquest.
Focus on showcasing your experience with Python data science libraries like Pandas, NumPy, and Scikit-learn, along with your skills in supervised and unsupervised learning, model validation, and MLOps practices, as these are key to the role.
Apply through multiple channels including Affinaquest’s corporate careers page and LinkedIn to maximize your application’s visibility and ensure you reach the right hiring teams.
Connect on LinkedIn with members of Affinaquest’s Product Engineering team or Data Science division; start conversations by mentioning your interest in their innovative use of Salesforce-native analytics or asking about their approach to integrating machine learning with fundraising and athletic operations data.
Optimize your resume for ATS by incorporating keywords such as 'Azure Machine Learning,' 'Snowflake,' 'dbt,' 'Airflow,' 'MLOps,' 'predictive modeling,' and 'fundraising analytics' to pass automated screenings effectively.
Use Jennie Johnson’s Power Apply feature to automate tailored applications across multiple platforms, identify relevant LinkedIn contacts for networking, and ensure your resume is optimized for ATS, freeing up your time to prepare for interviews and deepen your industry knowledge.
Jennie Johnson works for you!
Here’s what we do to make sure you’re successful:
Targeted Resume Revamp:
We expertly craft your resume to navigate Applicant Tracking Systems (ATS) and showcase your qualifications, making you stand out as a top-tier candidate.
Job Description Dissection:
Unpack the job posting with expert analysis, ensuring your application hits every key requirement.
Bespoke Cover Letter:
Capture the attention of hiring managers with a personalized cover letter that highlights how your skills align perfectly with the job's needs.
Interview Mastery:
Prepare for interviews like a pro with likely questions, strategic answers, and insightful questions for you to ask, setting you apart as an informed candidate.
Direct Application Insights:
Receive tailored advice on the best places to apply, ensuring your applications are seen by the right employers.
Skills and Gaps Assessment:
Identify and close critical skills gaps to position yourself as the best-fit candidate for your ideal job.
Personalized Email Pitch:
Make a memorable first impression with an email template crafted to engage potential employers and initiate meaningful conversations.
In-depth Research Guide:
Leverage comprehensive research tools to gather effective insights on companies, industry trends, and role-specific challenges.
Detailed Company Analysis:
Gain in-depth understanding of your prospective employer, giving you the edge in applications and interviews.
Strategic Candidate Overview:
Understand your unique value and why companies would want to interview you, highlighting your background and positioning.