Posted:
10/16/2024, 4:38:00 PM
Location(s):
Auckland, New Zealand ⋅ Auckland, Auckland, New Zealand
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Data & Analytics
Senior Data Scientist
Are you passionate about using data to drive business outcomes and solve complex problems?
We're looking for a Senior Data Scientist to join our growing data science team and help shape the future of our data-driven decision-making. If you’re a highly skilled data scientist with a knack for developing cutting-edge solutions and the leadership to influence business strategy, we want to hear from you!
About the Role
As a Senior Data Scientist, you’ll be instrumental in designing and developing high-quality, data-driven solutions that directly contribute to our strategic goals. You will work in a collaborative environment, turning raw data into actionable insights that influence decisions across the business. This role is perfect for someone who enjoys both the technical aspects of data science and the opportunity to communicate findings to key stakeholders, including C-suite executives.
What you’ll do:
What you’ll bring:
Advanced Data Science Skills: Proficiency in building and deploying machine learning models, working with large datasets, and using statistical techniques and computing languages for data analysis, such as Python or R.
Data Transformation: Expertise with cloud-based database systems and adept at handling complex data transformation using SQL.
Data Visualization: Skilled in the use of visualization tools with the ability to clearly present findings to both technical and non-technical audiences, such as Tableau.
Strategic Thinking: You’re focused on aligning data science efforts with business goals to drive revenue, optimize processes, and enhance products.
C-Suite Communication Skills: You can distil complex technical details into business insights for executives and other senior stakeholders.
Commercial Awareness: You have the intellectual curiosity to understand the commercial impact on various lines of business (e.g., marketing, finance, product development) and how data science can add value for each domain.
Mentorship Abilities: You enjoy sharing your knowledge and mentoring others to help grow the team’s technical expertise.
Cross-functional Collaboration: You enjoy working closely with other departments to deliver impactful data-driven solutions.
Project Management: You’re comfortable leading projects from inception to completion, managing timelines and potential risks.
Why Join Us?
At Pushpay, you’ll have the opportunity to work on meaningful projects that directly impact the business. We value innovation and encourage you to bring your ideas to the table. Join a supportive team where collaboration is key, and continuous learning is part of the journey!
Ready to take the next step in your data science career? Apply now and let’s create something extraordinary together!
About us
Pushpay is a high-growth New Zealand SaaS business that is spread between offices in Auckland, NZ and the United States. We help organizations and communities come together and stay connected through our suite of digital tools. Our teams work closely together to deliver value to our customers as the leading provider of community engagement and giving technology to churches, schools, and non-profits.
Benefits
We have a passion for making all employees feel supported. In addition to having a genuine interest in helping you do your best work and drive your career, we offer:
Please note: To be considered for this vacancy you must either currently reside in New Zealand, or if currently off-shore, be a New Zealand citizen, permanent resident or resident with valid travel conditions.
Please submit your resume/CV in PDF format to prevent formatting errors upon submission. After applying, we highly encourage you to check your spam/junk folder regularly for communication from the Pushpay People team.
Website: https://pushpay.com/
Headquarter Location: Seattle, Washington, United States
Employee Count: 251-500
Year Founded: 2011
IPO Status: Delisted
Last Funding Type: Post-IPO Equity
Industries: E-Commerce ⋅ FinTech ⋅ Information Technology ⋅ Mobile Payments ⋅ Software