Data Scientist (Mid-level)
Portland, OR, United States
Description
Act-On is a leading marketing automation company servicing thousands of customers worldwide. We are a challenger, a rebel, and a changemaker in the martech space, looking for people who question the status quo. Joining Act-On means having a real opportunity to make an impact in your work in addition to a supportive, fun and authentic culture. We are looking for a Data Scientist that will play a pivotal role in interpreting complex data to drive business decisions and support the continued development of the innovative AI features and functionality in our platform. Your expertise will be instrumental in transforming raw data into actionable insights, contributing to the enhancement of our existing AI-driven solutions and the development of new ones. Collaborating closely with our development and product teams, you will help in shaping the future of our AI capabilities, ensuring they are aligned with business objectives and deliver maximum impact.
We are looking for someone who is detail oriented, passionate about AI and Machine Learning and thrives on experimentation to find the most desirable outcomes. Our company has multiple existing AI and machine learning base features and functionality integrated with our platform that we offer to our customers today. These are supported by multiple teams. Your job will be to work closely with these teams to help further expand and innovate this functionality for the benefit of our customers and our bottom line.
What You’ll Be Doing
Analyze large datasets to identify meaningful patterns and trends.
Develop predictive models and machine-learning algorithms.
Collaborate with cross-functional teams to understand business needs and provide data-driven solutions.
Present findings and insights to stakeholders in a clear and persuasive manner.
Stay updated with the latest technologies and techniques in data science.
Who You Are
Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master’s degree or equivalent work experience is preferred.
Proven experience as a Data Scientist or in a similar role.
Strong proficiency in programming languages such as Python or R.
Experience with machine learning frameworks and libraries.
Excellent analytical and problem-solving abilities.
Strong communication and presentation skills.
Thinks outside of the box.
What We Offer
Generous Medical, Dental and Vision Benefits
Flexible time off
Unlimited access to LinkedIn Learning
Monthly wellness allowance
Monthly commuter allowance
Stock Options and 401k plan with discretionary matching
Flexible Spending Accounts for health and child care
EAP access for you and your immediate family
3 weeks paid parental leave on top of state paid family leave, (including for fostering & adoption)
Paid time off to volunteer
Disability Insurance
Life Insurance
Compensation
The anticipated annual compensation for this position will be $150,000-170,000. Compensation packages are based on a combination of factors, including the selected candidate’s skills, experience as well as internal and external equity.
Culture
Our values are active guidelines we attempt to live by every day — Put People First, Be Yourself, Do Your Best (Together), and Make It Better. We are working to ensure that all our people feel seen, respected, supported and connected at work, and we celebrate our differences for all the ways they make us stronger together.
In the spirit of those values and beliefs, we are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race or ethnicity, national origin, gender identity or expression, sexual orientation, religion, socioeconomic status, disability, age, or veteran status. If you have a disability or special need that requires accommodation, please let us know.
Don’t meet every requirement? Statistics show that women and people of color are unlikely to apply to jobs unless they are 100% qualified, which is rarely the case for anyone. So, let’s change that statistic! We strongly encourage individuals from minoritized groups to apply, even if your experience doesn’t align perfectly. If this role excites you, we want to hear from you. You might bring the exact talent and perspective our team needs!
#J-18808-Ljbffr