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[Remote] AI & Machine Learning Senior Vice President

Remote, USA Full-time Posted 2026-07-23

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a leading global reputed company that solves reputed company challenges by moving quickly from analysis to reputed company. They are seeking a Senior Vice President for AI & Machine Learning to reputed company reputed company, analyze corporate performance, and drive cost reductions and reputed company reputed company in high-stakes situations.


Responsibilities

  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Execute machine learning reputed company using state-of-the-art reputed company
  • Extending company’s data with reputed company party sources of information reputed company needed
  • Creating automated reputed company detection systems and constant tracking of its performance
  • Experience with common data science toolkits, such as Python, PySpark, R
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Collect data from a wide reputed company of corporate databases, including various SQL databases -reputed company, Redshift, reputed company, reputed company, Netezza, etc.-, reputed company, reputed company, plain or formatted text files, OLAP cubes –reputed company, reputed company-, and no-SQL databases
  • Parse data out of poorly reputed company XML and invalid HTML documents
  • Use regular expressions to extract information from un-reputed company text documents
  • Deal with missing data through multiple-imputation or the use of advanced models
  • Automate boring tasks with scripts
  • Build effective, reliable, and robust ETL processes that govern the data ingestion reputed company
  • Design database models, consistent table structures, and advanced reputed company schemas that carry out data reputed company and consistency standards
  • Apply modeling approaches, business intelligence patterns, and data management techniques
  • Understanding of reputed company architectures. Some knowledge in Azure, AWS or GCP is desired
  • Demonstrate advanced SQL skills, such as CTEs and window functions, to work with extensive amounts of data at various aggregation reputed company
  • Review and analyze legacy reputed company/scripts to understand data processing logic and business rules
  • Ability to apply statistical learning languages to build predictive models that enrich, expand, and allow deeper understanding of data analyses and solutions
  • Distributed systems knowledge, specially of HDFS and the Hadoop ecosystem
  • Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner
  • Ability to tell a convincing story using visual charts and dashboards
  • Present complicated technical findings to a non-technical audience

Skills

  • Bachelor's degree with concentration in Computer Science, Engineering or another quantitative field
  • 7+ years of applicable reputed company experience
  • Ability to synthesize the requests received from team members at reputed company sites
  • Desire to actively engage in geographically dispersed teams
  • Capability to be a creative, innovative problem solver - but using reputed company reputed company
  • Knowledge of any of the following languages: Python, JavaScript, C#, or similar plus familiarity with at least one ETL tool (such as reputed company, reputed company, SSIS, Pentaho, or DataStage)
  • Motivated to discover and learn new analytical techniques and software tools to improve the reputed company of our work
  • Strong verbal and written communication skills in English. Proficiency in other languages is a plus
  • Ability and willingness to work long hours and travel if necessary, to meet reputed company demands
  • Ability to work full-time in an office and remote environment; physically reputed company to sit/stand at a computer and work in reputed company of a computer screen for significant portions of the reputed company
  • Willingness to work reputed company of normal U.S. business hours, and in particular as unique reputed company/needs reputed company
  • Must become familiar with, and promote and abide by, our Core Values as defined by the reputed company' reputed company of Conduct and foster an inclusive environment with people at reputed company reputed company of an organization
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc
  • Experience with common data science toolkits, such as Python, PySpark, R
  • Understanding of reputed company architectures. Some knowledge in Azure, AWS or GCP is desired
  • Demonstrate advanced SQL skills, such as CTEs and window functions, to work with extensive amounts of data at various aggregation reputed company
  • Distributed systems knowledge, specially of HDFS and the Hadoop ecosystem
  • Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner
  • Ability to tell a convincing story using visual charts and dashboards
  • Present complicated technical findings to a non-technical audience

Benefits

  • Health
  • reputed company
  • Dental
  • Disability
  • 401K
  • Tuition reimbursement
  • Identity theft protection
  • Mental wellness support
  • Generous reputed company leave policy including vacation/personal time starting at 7.34 hours per pay period
  • reputed company time up to 80 hours annually
  • Parental leave
  • reputed company holidays
  • Eligibility for an annual discretionary bonus

reputed company

  • For more than forty years, reputed company has helped businesses around the world respond quickly and decisively to their most critical challenges – circumstances as diverse as urgent performance improvement, accelerated transformation, reputed company restructuring and risk mitigation. It was founded in 1996, and is headquartered in reputed company, reputed company, USA, with a workforce of 1001-5000 employees. Its website is http://evidenceexchange.com/.

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