- Applying data mining and statistical analysis techniques like hypothesis testing, segmentation, and modeling to analyze large amounts of data
- Helping our clients make data-driven decisions by working with structured and unstructured data sets, building out predictive models and advising our clients on data mining leading practices
- Building and applying data analysis algorithms (data mining, statistics, machine learning, natural language processing, sentiment analysis, text mining, etc.) as appropriate
- Unifying, enriching, and analyzing client data to derive new insights and opportunities
- Clearly communicating findings, recommendations, and opportunities to improve data systems and solutions
- Deep understanding of and ability to teach data science, concepts, tools, features, functions and benefits of different approaches to apply them
- Drive to seek out information to learn about emerging methodologies and technologies
- Clarifying problems by driving to understand the true issue
- Solving problems by incorporating data into decision making
- Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.
- Deep understanding of statistical modeling as well as data ingestion/cleansing methods
- Eligible to obtain and maintain a Secret Clearance
- Bachelor's degree related field
- 4+ Years of related professional experience
- DoD or Government experience preferred
- Extensive experience connecting to various data sources and structures: APIs, NoSQL, RDBMS, Hadoop, S3, Blob Storage, etc.
- Deep understanding of statistical modeling as well as data ingestion/cleansing methods
- Strong Python coding experience
- Experience with SQL
- Experience using data mining and statistical tools
- Solid pattern recognition and predictive modelling skills
- Working knowledge of recommendation engines, scoring systems, and A/B testing
- Must have worked with multiple tools/libraries such as Weka, NumPy, PyMongo, TensorFlow, etc.
- Understanding of machine learning algorithms like k-NN, naive bayes, decision trees, SVM experience, among other methods
- Experience with Azure Data Factory, DataBricks, and AzureML a plus
- Familiarity with at least one data visualization development tool, - Tableau, PowerBI,
- Data competition experience ( on Kaggle platform) and past winning records are a plus
- Ability to write clean, maintainable code and experience using Git
- Experience on Agile projects using DevOps tools to integrate code
- Experience on projects utilizing continuous delivery and deployment methodologies
- Continuous learning: You'll develop the mindset and skills to navigate whatever comes next.
- Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way.
- Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs.
- Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs.
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Government and Public Sector - McLean, United States - EY
Description
The opportunity
You will help our clients navigate the complex world of modern data engineering and analytics. We'll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization – starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.
Our Machine Learning Engineer must be able to dig into large structured and unstructured data sets using statistical & research methods, machine learning, and subject matter expertise to find insights and solve often poorly or loosely defined problems. This role will require a very methodical mindset combined with a keen set of skills in mathematics, statistics, algorithms, machine learning, and technology. In addition to being technically sound, this role also requires the knack for quickly gaining functional understanding of client data and client context to drive impactful analyses.
Analyses will need to be well documented and presented- ability to present findings to clients and simply explain complex analyses is essential. Industrialization of findings will also be important. This role will need to steward one-off analyses into recurring metrics and/or published data visualizations. You will work within a larger analytics team and needs to have a cursory understanding of data engineering, visualization design & development, and cloud infrastructure.
Your key responsibilities
You'll spend most of your time working with client(s) to deliver the latest data focused technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich, and analyze data from multiple sources.
Also included:
Skills and attributes for success
To qualify for the role, you must have
Due to the nature of our work in the Government and Public Sector, work may be required to be completed at client, EY and/or contractor sites. Our goal is to assign professionals to projects within a commutable distance of their work location office. In certain circumstances, travel may be required beyond your work location based on client and project needs. Candidates should be willing to travel on average 25% to 30% or more in a hybrid environment.
What we look for
We're interested in leaders with strong teamwork, work ethic, commitment to continuous improvement and a desire to stay on top of technology trends. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.
At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
What we offer
We offer a competitive compensation package where you'll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.
