Experienced Full Stack Information Researcher – Web & Cloud Application Development at blithequark
Are you a highly skilled and innovative Information Researcher with a passion for leveraging machine learning (ML) procedures to drive business growth? Do you have a knack for creating, prototyping, and productionizing imaginative models using a range of techniques, including regulated, unaided, and support? If so, we want to hear from you!
At blithequark, we're on a mission to revolutionize the way we approach data-driven decision-making. As a key member of our team, you'll have the opportunity to work with cutting-edge technologies and collaborate with a talented group of professionals who share your passion for innovation.
Key Responsibilities:
As an Experienced Full Stack Information Researcher at blithequark, you'll be responsible for:
* Designing and developing large-scale datasets, conducting exploratory data analysis, and building models using industry-standard machine learning and AI frameworks
* Developing and implementing supervised (linear, logistic regression) and unsupervised algorithms (k-means clustering)
* Collaborating with cross-functional teams, including business, design, and partner groups, to drive business outcomes and deliver high-impact solutions
* Staying up-to-date with the latest advancements in machine learning and AI, and applying new techniques and strategies to drive business growth
* Working with large datasets, preparing and adjusting them to address business questions, and developing expertise in data creation and management
* Designing and implementing data pipelines to integrate data from various sources, and developing data visualizations to communicate insights to stakeholders
* Collaborating with data scientists and engineers to develop and deploy AI and statistical models at scale, and working with large volumes of data to drive business outcomes
Essential Capabilities:
To succeed in this role, you'll need:
* 3+ years of experience as an information researcher or data scientist
* 3+ years of experience with data querying languages (e.g., SQL), programming languages (e.g., Python), or statistical/numerical programming (e.g., R, SAS, Matlab)
* 3+ years of experience with machine learning and statistical modeling tools and techniques, and understanding of the factors that influence their performance
* Experience applying theoretical models in an applied context
Preferred Capabilities:
While not required, experience with the following would be a plus:
* Python, Perl, or other programming languages
* Experience working in a machine learning or data science role with a large technology organization
Benefits:
As a valued member of the blithequark team, you'll enjoy a comprehensive benefits package, including:
* Competitive compensation, including base salary and performance-based bonuses
* Comprehensive health insurance plans, including medical, dental, and vision coverage
* Retirement plans, including a 401(k) plan with company match
* Stock options or grants, allowing you to become a shareholder in the company
* Paid time off, including vacation days, holidays, and sick leave
* Maternity and paternity leave to support employees welcoming a new child
* Tuition assistance through our Career Choice program
* Career development opportunities, including training and development programs
* Employee discounts on Amazon products and services
* Flexible work options, including remote work opportunities
* Employee assistance program (EAP) providing confidential counseling and support services
* Wellness programs, including gym discounts, mental health resources, and wellness challenges
* Commuter benefits, including subsidies for public transportation or parking
* Discounts on local services through our partnerships with local businesses
About blithequark:
At blithequark, we're passionate about using data and technology to drive business growth and innovation. Our team is dedicated to delivering high-impact solutions that drive business outcomes, and we're committed to creating a culture of innovation, collaboration, and continuous learning.
How to Apply:
If you're a highly skilled and innovative Information Researcher with a passion for machine learning and data-driven decision-making, we want to hear from you! Please submit your application through our website, including your resume, cover letter, and any relevant samples or portfolios.
We can't wait to hear from you!