Data Scientist IV
3 weeks ago
Welcome to the challenging and dynamic role of Data Scientist The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. This role will work on analysis, experimentation, modeling, and reporting for the Scaled Business Marketing org under the Business Marketing Group. The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets. The data scientist will contribute to biosensor data analysis and help guide future biosensing R&D.
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.
- Leverage data visualization to help the team make decisions about future R&D directions to go.
Skills:
- Experience with distributed computing workflows for metric computation, analysis, and modeling across large datasets.
- Experience with hardware sensors, and data analysis pertaining to real-world data.
- Experience with signal processing pertaining to time domain signals and/or medical imaging systems
- Experience working with large datasets.
- Proficiency in data structures and algorithms.
- 3+ years of experience performing data extraction, manipulation, and visualization using Python.
- Experience with scientific computing and analysis packages such as NumPy, SciPy, Pandas, Scikit-learn, dplyr, caret.
- Experience with data visualization libraries such as Matplotlib, Pyplot, seaborn, 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 OrangePeople monthly team meetings, and participate in team-building efforts.
- Contribute to OrangePeople 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:
OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education. An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation.
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