Job Specifications
We are excited to announce an opportunity for a highly skilled Data Scientist IV to join our innovative team. In this pivotal role, you'll harness your expertise to unlock insights from complex, high-dimensional datasets through advanced exploratory data analysis. Your work will directly impact the future of biosensor technology, guiding research and development efforts in cutting-edge biosensing solutions. If you're passionate about transforming data into breakthrough innovations, we want to hear from you.
Job Responsibilities
Execute, debug, and optimize distributed compute workflows for metric computation, analysis, and modeling across large datasets.
Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, and make valuable discoveries leading to prototype biosensor development and product improvement.
Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the biosensor data.
Generate and test hypotheses and analyze and interpret the results of product experiments.
Work with product engineers to translate prototypes into new products, services, and features and provide guidelines for large-scale implementation.
Leverage data visualization to help the team make decisions about future R&D directions.
Skills
Experience with hardware sensors and data analysis of real-world data.
Experience with signal processing of time domain signals and/or medical imaging systems
Experience presenting findings from statistical and machine learning methods to diverse audiences
Experience working with large datasets.
3+ years of experience performing data extraction, manipulation, and visualization using programming languages (e.g., Python), scientific computing languages (e.g., R, MATLAB), or SQL.
Proficiency in data structures and algorithms.
Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, and caret.
Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, and ggplot2.
Education/Experience
Master of Science or PhD degree in computer science, statistics, neuroscience, biomedical engineering, or other relevant field.
Benefits
401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
The salary will be determined based on several factors, including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.
Additional Responsibilities
Participate in OP monthly team meetings and participate in team-building efforts.
Contribute to OP technical discussions, peer reviews, etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.
About Us
At OP, we help you harness the power of technology for maximum impact. A technology consulting and solutions company, we offer advisory and managed services, innovative platforms, and staffing solutions across a wide range of fields including AI, cyber security, enterprise architecture, and beyond. For nearly two decades, we’ve been challenging the status quo of the consulting industry, serving up fresh, ingenious thinking through a radically lean structure. Together, this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
About the Company
OP is one of the fastest-growing technology consulting and solutions companies in the U.S. We offer advisory and managed services, innovative platforms, and staffing solutions to help clients harness the power of technology for maximum impact. With broad and deep industry expertise, we deliver solutions across AI, cybersecurity, enterprise architecture, and beyond.
We don't just consult--we challenge the norms of consulting. Our approach pairs out-of-the-box thinking with a radically lean model for faster, smarter, and more...
Know more