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Senior Data Scientist

Vantor
Remote, USA
Full-time
Senior · 10+ years experience
Remote
Discovered 3 weeks ago
gitkerasnumpypandaspostgresqlpython

Full Job Posting

Responsibilities:

  • Lead team in designing analytic solutions that meet customer needs
  • Enhance existing analytic solutions to ensure quality and performance
  • Integrate Data from multiple sources to create a common operating picture
  • Select and implement appropriate statistical analyses and scoring metrics to evaluate performance of existing algorithms
  • Create training and test datasets from multiple sources to enhance existing algorithms
  • Perform data processing activities such as data cleansing and validating as well as other Extract Transform Load (ETL) functions
  • Derive and produce Analytic Reports and Presentations for internal and external stakeholders
  • Identify and implement data visualization for analysis, presentation, and end-user UI needs
  • Perform feature engineering, classifier optimization, event forecasting, and anomaly detection
  • Interface with external stakeholders to decompose data science mission needs
  • Produce data science processes, results, and approach documentation
  • Select and implement industry machine learning algorithms to enhance or compete with existing algorithms
  • Minimum Qualifications:
  • Must be a US citizen.
  • Masters in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline with 5+ years of industry experience of the data science field (or a Bachelors with 10+ years of experience).
  • Current Top Secret security clearance and/or CBP/DHS suitability.
  • Good working knowledge of Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy
  • Experience in processing/cleaning and analyzing time series and/or geospatial data
  • data
  • Strong statistical background in areas such as statistical testing, regression, and probability
  • 7+ years of professional experience in applying machine learning techniques to time series and/or geospatial data
  • 7+ years of professional experience with database / data file system such as PostgreSQL, HDFS
  • 7+ years of professional experience with version control systems such as Git
  • 7+ years of professional experience with time series event forecasting
  • Experience correlating data from different sensors into one track
  • Ability to understand and integrate new machine learning algorithms and technologies
  • Experience with scoring and measuring algorithm performance
  • Data Visualization of multi-source, multi-dimensional data, and analytic results in both real-time and for presentations
  • Experience conducting model feasibility research and algorithm development for machine learning
  • Ability to multitask, prioritize, and manage time efficiently
  • Wide breadth experience with machine learning algorithms and approaches
  • Current knowledge of the latest industry trends; Ability to articulate trends and their potential clearly and confidently
  • Experience in working on teams following development methodologies such as Agile Scrum or Kanban
  • Strong verbal and written communication skills

Preferred Qualifications:

  • PhD
  • 3+ years of professional experience with Deep Learning technologies (Pytorch, Keras, Tensorflow)
  • 3+ years of professional experience with radar data
  • Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
  • The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is:
  • Benefits: Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
  • The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
  • The date of posting can be found on Vantor's Career page at the top of each job posting.
  • To apply, submit your application via Vantor's Career page.
  • EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.

Qualifications

  • Must be a US citizen.
  • Masters in Data Science, Data Analytics, Computer Science, Physics, Mathematics, or other related discipline with 5+ years of industry experience of the data science field (or a Bachelors with 10+ years of experience).
  • Current Top Secret security clearance and/or CBP/DHS suitability.
  • Good working knowledge of Python and libraries such as pandas, numpy, scikit-learn, matplotlib, scipy
  • Experience in processing/cleaning and analyzing time series and/or geospatial data
  • data
  • Strong statistical background in areas such as statistical testing, regression, and probability
  • 7+ years of professional experience in applying machine learning techniques to time series and/or geospatial data
  • 7+ years of professional experience with database / data file system such as PostgreSQL, HDFS
  • 7+ years of professional experience with version control systems such as Git
  • 7+ years of professional experience with time series event forecasting
  • Experience correlating data from different sensors into one track
  • Ability to understand and integrate new machine learning algorithms and technologies
  • Experience with scoring and measuring algorithm performance
  • Data Visualization of multi-source, multi-dimensional data, and analytic results in both real-time and for presentations
  • Experience conducting model feasibility research and algorithm development for machine learning
  • Ability to multitask, prioritize, and manage time efficiently
  • Wide breadth experience with machine learning algorithms and approaches
  • Current knowledge of the latest industry trends; Ability to articulate trends and their potential clearly and confidently
  • Experience in working on teams following development methodologies such as Agile Scrum or Kanban
  • Strong verbal and written communication skills
  • PhD
  • 3+ years of professional experience with Deep Learning technologies (Pytorch, Keras, Tensorflow)
  • 3+ years of professional experience with radar data
  • Pay Transparency: In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate’s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
  • The base pay for this position within California, Colorado, Hawaii, New Jersey, the Washington, DC metropolitan area, and for all other states is

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