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AlixPartners

Global strategic and restructuring consulting

AI and Machine Learning Director

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeUnited States

About the Job

Requirements

  • A bachelor's degree with a concentration in Computer Science, Engineering, or another quantitative field is required.
  • At least 10 years of applicable professional experience is required.
  • The candidate must be able to synthesize requests received from team members at client sites.
  • The candidate must be able to engage in geographically dispersed teams.
  • The candidate must be able to solve problems creatively and innovatively using simple ideas.
  • Knowledge of Python, JavaScript, C#, or a similar language, plus familiarity with at least one ETL tool such as Alteryx, KNIME, SSIS, Pentaho, or DataStage, is required.
  • The candidate must be motivated to discover and learn analytical techniques and software tools to improve work quality.
  • Strong verbal and written communication skills in English are required.
  • The candidate must be able and willing to work long hours and travel when necessary to meet client demands.
  • The candidate must be able to work full-time in an office and remote environment and sit or stand at a computer and work in front of a screen for significant portions of the workday.
  • The candidate must be willing to work outside normal U.S. business hours as project needs arise.
  • The candidate must become familiar with, promote, and abide by the company’s Code of Conduct and foster an inclusive environment with people at all organizational levels.

Responsibilities

  • Lead projects and client engagements, analyze corporate performance, and drive cost reductions, revenue growth, and profitability improvement in the candidate’s industry or functional area of expertise.
  • Work with others and contribute to developing and building a business in the candidate’s areas of expertise.
  • Create ETL workflows, scripts, statistical models, and visualizations, and take responsibility for designing, building, testing, executing, and supporting data migration, cleansing, and wrangling.
  • Select features and build and optimize classifiers using machine learning techniques.
  • Execute machine learning projects using state-of-the-art methods.
  • Extend company data with third-party information when needed.
  • Create automated anomaly detection systems and continuously track their performance.
  • Collect data from corporate databases, including SQL databases such as Microsoft SQL Server, Redshift, Teradata, Oracle, and Netezza; Access; Excel; plain or formatted text files; OLAP cubes; and NoSQL databases.
  • Parse data from poorly structured XML and invalid HTML documents.
  • Use regular expressions to extract information from unstructured text documents.
  • Handle missing data through multiple imputation or advanced models.
  • Automate tasks with scripts.
  • Build reliable and robust ETL processes that govern data-ingestion flows.
  • Design database models, consistent table structures, and dimensional schemas that meet data quality and consistency standards.
  • Apply modeling approaches, business intelligence patterns, and data management techniques.
  • Demonstrate advanced SQL skills, including common table expressions and window functions, to work with extensive data at various aggregation levels.
  • Review and analyze legacy code and scripts to understand data-processing logic and business rules.
  • Apply statistical learning languages to build predictive models that enrich and expand data analyses and solutions.
  • Use interactive data visualization tools such as Tableau and Power BI to present results.
  • Present technical findings to non-technical audiences.
  • Develop a convincing narrative for C-level executives using visual charts and dashboards.

Desired Qualifications

  • Excellence in at least one of Python, PySpark, or R is highly desirable.
  • Some knowledge of Azure, AWS, or GCP is desired.
  • Proficiency in languages other than English is a plus.

About the Company

AlixPartners

Global strategic and restructuring consulting

AlixPartners provides global consulting services across industries such as automotive, financial services, and healthcare, focusing on strategy, performance improvement, restructuring, and technology implementation. Projects are run by senior-led teams who assess a client’s situation, develop targeted solutions, and implement changes designed to deliver measurable, high-impact results. Its recent acquisition of Berylls strengthens automotive capabilities and deepens industry expertise. The goal is to help clients solve urgent challenges and achieve practical, scalable performance gains and growth.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$364.8M
Headquarters
New York City, New York
Founded
1981

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