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 visualizationswhile 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 projectsusing state-of-the-artmethods
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 asPython,PySpark,R. Excellence in at least one of these is highlydesirable
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 textdocuments
Deal with missing data through multiple-imputation or the use of advanced models
Automate boring tasks withscripts
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 anddashboards
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
5+ years of applicable professional experience
Data-oriented personality
Ability to synthesize the requests received from team members at clientsites
Desire to actively engage in geographically dispersedteams
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 ourwork
Strong verbal and written communication skills in English. Proficiency in other languages is a plus
Ability and willingness to work long hours and travel... For full info follow application link.
AlixPartners is a global firm of senior business and consulting professionals that specializes in improving corporate financial and operational performance, executing corporate turnarounds and providing litigation consulting and forensic accounting services when it really matters – in urgent, high-impact situations. More information is available at www.alixpartners.com.
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 Bronze award-winning Veteran Friendly Employer.
