Remotely Inc
Mid level Data Scientist
Remotely Inc, Newark, New Jersey, us, 07175
This is a remote position.
Mid level Data Scientist (2-3 year experience, remote)
Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.
Hiring Type: Full-Time
Base Salary: $90K-$100K Per Annum.
Position Summary
You will collaborate with team members leveraging the agile methodology to work on innovative and complex solutions with the use of Machine Learning and statistical analysis. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors. Independently support processes related to the implementation of systems into production, including integration of purchased solutions. Responsible for design, coding, testing, debugging, and documentation.
Team Player: Willing to teach, share knowledge, and work with others to make the team successful.Communication: Exceptional verbal, written, organizational, presentation, and communication skills.Creativity: Ability to take written and verbal requirements and come up with other innovative ideas.Attention to detail: Systematically and accurately research future solutions and current problems.Strong work ethic: The innate drive to do work extremely well.Passion: A drive to deliver better products and services than expected to customers.
Essential Qualifications
2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.2+ years of experience with a programming language such as Python, R, SQL, etc.2+ years of experience with data extraction, wrangling, visualization, and analysis.Experience processing data from various sources and via big data platforms (such as GCP, AWS, etc.)Experience creating scalable machine learning models and solutions.Experience researching and implementing statistical models, machine learning algorithms or other customized solutions that show significant impact solving complex business problems.Experience enhancing existing data pipelines by exploring unstructured data sources and engineering new features.Can provide technical support and expertise to the broader team.Master’s degree or greater in Statistics, Mathematics, Computer Science or other quantitative field; or equivalent working experienceKnowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Education
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or other quantitative field.
Benefits
401(k)Dental insuranceDisability insuranceEmployee discountEmployee stock purchase planHealth insuranceLife insurancePaid time offTuition reimbursementVision insurance
#J-18808-Ljbffr
Mid level Data Scientist (2-3 year experience, remote)
Be part of our future! This job posting builds our talent pool for potential future openings. We'll compare your skills and experience against both current and future needs. If there's a match, we'll contact you directly. No guarantee of immediate placement, and we only consider applications from US/Canada residents during the application process.
Hiring Type: Full-Time
Base Salary: $90K-$100K Per Annum.
Position Summary
You will collaborate with team members leveraging the agile methodology to work on innovative and complex solutions with the use of Machine Learning and statistical analysis. Under general direction, you will develop models using Machine Learning, Deep Learning, and other similar technologies to predict and analyze data on hardware and software systems within a large server infrastructure to prevent outages and pinpoint errors. Independently support processes related to the implementation of systems into production, including integration of purchased solutions. Responsible for design, coding, testing, debugging, and documentation.
Team Player: Willing to teach, share knowledge, and work with others to make the team successful.Communication: Exceptional verbal, written, organizational, presentation, and communication skills.Creativity: Ability to take written and verbal requirements and come up with other innovative ideas.Attention to detail: Systematically and accurately research future solutions and current problems.Strong work ethic: The innate drive to do work extremely well.Passion: A drive to deliver better products and services than expected to customers.
Essential Qualifications
2+ years of experience in machine learning with domain knowledge and experience in the following areas: data-driven statistical modeling, discrimination methods, feature extraction and analysis, supervised learning.2+ years of experience with a programming language such as Python, R, SQL, etc.2+ years of experience with data extraction, wrangling, visualization, and analysis.Experience processing data from various sources and via big data platforms (such as GCP, AWS, etc.)Experience creating scalable machine learning models and solutions.Experience researching and implementing statistical models, machine learning algorithms or other customized solutions that show significant impact solving complex business problems.Experience enhancing existing data pipelines by exploring unstructured data sources and engineering new features.Can provide technical support and expertise to the broader team.Master’s degree or greater in Statistics, Mathematics, Computer Science or other quantitative field; or equivalent working experienceKnowledge of Machine Learning, Data Mining, Statistics, Applied Mathematics, or a related field.
Education
Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science or other quantitative field.
Benefits
401(k)Dental insuranceDisability insuranceEmployee discountEmployee stock purchase planHealth insuranceLife insurancePaid time offTuition reimbursementVision insurance
#J-18808-Ljbffr