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Data Science/Machine Learning Director

78% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Salary: 
180 - 400K yearly
Experience: 
Expert & Leadership (>10 years)
Work from: 

Offer summary

Qualifications:

Bachelor’s degree in Computer Science or related field, 10+ years of professional experience.

Key responsabilities:

  • Develop and implement data science projects
  • Create ETL workflows, statistical models, visualizations
  • Utilize common data science toolkits
  • Design database models and dimensional schemas
AlixPartners logo
AlixPartners Large https://www.alixpartners.com/
1001 - 5000 Employees
See more AlixPartners offers

Job description

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Your missions

At AlixPartners, we solve the most complex and critical challenges by moving quickly from analysis to action when it really matters; creating value that has a lasting impact on companies, their people, and the communities they serve.

We prize diversity and inclusion, the intellectually curious, the inventive, and the forward-thinking. We invite you to influence the way we work and define the way we embrace tomorrow. By understanding, respecting, and honoring the needs of our employees, clients, and communities, AlixPartners actively promotes an inclusive environment. We strongly believe in the value that diversity brings to our experiences and are committed to the perpetual enhancements of initiatives, policies, and practices. We hold ourselves accountable by providing the space for authenticity, growth, and equity for everyone.

What you’ll do

Are you passionate about a future that exceeds your expectations? Here, at AlixPartners your passion becomes your career. We work in smaller and more senior teams that bring deep industry and functional knowledge to our clients. You will sit shoulder-to-shoulder with owners, boards, and CEOs to address the issues that sit at the top of their agendas - and often become front-page news. 

If you join our practice, you will work with financially secure, under-performing and distressed companies across a variety of urgent, high impact situations. Our elite professionals are recognized experts in their respective fields, bringing to bear their skills and experience to craft measurable, improved outcomes for our clients. 

In this role, you will have the chance to 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. The ideal candidate will have a detailed understanding of the underlying data and data structures of multiple systems to allow in depth analysis of existing and potential data insights.

Data Modeling 

  • 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

 Data Manipulation 

  • Experience with common data science toolkits, such as Python, PySpark, R. Excellence in at least one of these is highly desirable
  • 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

Data Organization 

  • 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

Data Analysis 

  • 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

Data Visualization 

  • Use interactive data visualization tools, such as Tableau and Power BI to present results in a compelling manner
  • Ability to tell a convincing story to C-level executives using visual charts and dashboards
  • Present complicated technical findings to a non-technical audience
What you’ll need
  • Bachelor’s degree with concentration in Computer Science, Engineering or another quantitative field
  • 10+ 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

This description is not designed to encompass a comprehensive listing of required activities, duties, or responsibilities.

AlixPartners is a results-driven global consulting firm that specializes in helping businesses successfully address their most complex and critical challenges. www.alixpartners.com

AlixPartners has embraced a hybrid work model to provide flexibility and support our employees’ work-life integration.  Our hybrid model combines a mix of in-person (at client site or AlixPartners office) and remote working.  Travel is part of this position, but the frequency may vary based on client, team, and individual circumstances.

The firm offers a comprehensive benefits program including health, vision, dental, disability, 401K, tuition reimbursement, identity theft protection, and mental wellness support. Employees will also receive a generous paid leave policy including vacation/personal time starting at 7.34 hours per pay period, sick time up to 80 hours annually, parental leave and twelve holidays.​

The salary range for this role takes into account a number of factors and is between $180,000/year - $400,000/year with potential eligibility for an annual discretionary bonus.

AlixPartners is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to, among other things, race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability. AlixPartners is a proud Silver award-winning Veteran Friendly Employer.

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Required profile

Experience

Level of experience: Expert & Leadership (>10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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