Full-Time

Data Science/Machine Learning Senior Vice President

Posted on 10/7/2024

AlixPartners

AlixPartners

1,001-5,000 employees

Global consulting firm for business challenges

Automotive & Transportation
Consulting
Financial Services

Compensation Overview

$175k - $275kAnnually

+ Annual Discretionary Bonus

Senior

United States

Hybrid work model requires in-person presence at client site or AlixPartners office.

Category
Applied Machine Learning
Data Science
AI & Machine Learning
Data & Analytics
Required Skills
Power BI
Microsoft Azure
Redshift
Python
JavaScript
R
SQL
Tableau
C#
AWS
Hadoop
Oracle
HTML/CSS
Google Cloud Platform
Requirements
  • Bachelor’s degree with concentration in Computer Science, Engineering or another quantitative field
  • 7+ years of applicable professional experience
  • Data-oriented personality
  • Ability to synthesize the requests received from team members at client sites
  • Desire to actively engage in geographically dispersed teams
  • Capability to be a creative, innovative problem solver - but using simple ideas
  • Knowledge of any of the following languages: Python, JavaScript, C#, or similar plus familiarity with at least one ETL tool (such as Alteryx, KNIME, SSIS, Pentaho, or DataStage)
  • Motivated to discover and learn new analytical techniques and software tools to improve the quality 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 client demands
  • Ability to work full-time in an office and remote environment; physically able to sit/stand at a computer and work in front of a computer screen for significant portions of the workday
  • Willingness to work outside of normal U.S. business hours, and in particular as unique projects/needs arise
  • Must become familiar with, and promote and abide by, our Core Values as defined by the AlixPartners’ Code of Conduct and foster an inclusive environment with people at all levels of an organization
Responsibilities
  • Create ETL workflows, scripts, statistical models, and visualizations while taking responsibility for the design, build, test, execution, and support of the data migration, cleansing, wrangling, etc.
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Execute machine learning projects using state-of-the-art methods
  • Extending company’s data with third party sources of information when needed
  • Creating automated anomaly 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 variety of corporate databases, including various SQL databases -Microsoft, Redshift, Teradata, Oracle, Netezza, etc.-, Access, Excel, plain or formatted text files, OLAP cubes –Microsoft, Oracle-, and no-SQL databases
  • Parse data out of poorly structured XML and invalid HTML documents
  • Use regular expressions to extract information from un-structured 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 flow
  • Design database models, consistent table structures, and advanced dimensional schemas that carry out data quality and consistency standards
  • Apply modeling approaches, business intelligence patterns, and data management techniques
  • Understanding of cloud 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 levels
  • Review and analyze legacy code/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

AlixPartners helps businesses tackle complex challenges by providing strategic advice and practical solutions. The firm operates in various industries, including automotive, financial services, and healthcare, serving both large corporations and smaller enterprises. Their approach involves senior-led teams that combine strategic insight with real-world experience to identify issues and implement sustainable solutions. AlixPartners recently enhanced its automotive consulting capabilities through the acquisition of Berylls. The company operates on a project-based model, charging clients for services such as strategy development, performance improvement, and restructuring. With a global presence, AlixPartners offers localized expertise while ensuring a consistent standard of service across different regions. The goal of AlixPartners is to deliver high-impact results and support transformative projects that address the specific challenges faced by their clients.

Company Stage

Growth Equity (Non-Venture Capital)

Total Funding

N/A

Headquarters

Southfield, Michigan

Founded

1981

Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for digital transformation consulting post-pandemic boosts AlixPartners' service offerings.
  • Expansion in Asia strengthens AlixPartners' Turnaround & Restructuring Practice.
  • Increased focus on sustainability consulting aligns with businesses' ESG goals.

What critics are saying

  • Competition from digital-first consulting firms threatens AlixPartners' market share.
  • Rapid digital transformation may outpace AlixPartners' current capabilities.

What makes AlixPartners unique

  • AlixPartners specializes in addressing complex and critical business challenges globally.
  • The firm is known for senior-led teams with strategic vision and real-world experience.
  • AlixPartners recently expanded its automotive expertise by acquiring Berylls.

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