AI Data Scientist - Machine Learning Senior Consultant

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Guidehouse is a leading global provider of consulting services to the public and commercial markets with broad capabilities in management, technology, and risk consulting. We help clients address their toughest challenges and navigate significant regulatory pressures with a focus on transformational change, business resiliency, and technology-driven innovation. Across a range of advisory, consulting, outsourcing, and digital services, we create scalable, innovative solutions that prepare our clients for future growth and success. The company has more than 10,000 professionals in over 50 locations globally. Guidehouse is a Veritas Capital portfolio company, led by seasoned professionals with proven and diverse expertise in traditional and emerging technologies, markets, and agenda-setting issues driving national and global economies. For more information, please visit: www.guidehouse.com.
Responsibilities

Our consultants on the Advanced Analytics & Intelligent Automation team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA). Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve operational effectiveness.

Our consultants focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.

Qualifications

Required:

Minimum Security Clearance: Ability to obtain a public trust

Minimum Years of Experience: 3

Minimum Education: Bachelor's degree in: Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline.

Minimum Qualifications:

• Ability to articulate AI/ML solutions in a compelling impact driven storytelling fashion that inspires trust and builds confidence
• Must have a continuous learning mindset
• 2+ years of Python experience
• 2+ years of experience in machine learning lifecycle/workflow: fetch, clean, and prepare data - train and evaluate model – deploy to production, monitor, and adjust as needed
• 2+ years in a visualization tool or library (Tableau, Power BI, matplotlib, seaborn, bokeh)
• 2+ years of Database (SQL/NOSQL) experience
• 1+ years of Databricks
• Develop and execute project plans using JIRA to track activities and Agile software methodology
• Prior experience utilizing APIs to interface with Apache Spark; experience utilizing PySpark

Preferred:

Education: M.S./M.A. in Statistics, Mathematics, Computer Science, Information Systems, Engineering, Economics, or similar quantitative discipline.

Knowledge, experience, and skills:

• Natural Language Processing (NLP)
• AWS or Azure 
• Deep Learning (i.e., NLP) 
• Spark, Scala, and Databricks
• Experience with Graph databases like Neo4j or GraphFrames Building solutions that are delivered on OpenShift or similar container platform 
• AWS or Azure certifications

Additional Requirements

• The successful candidate must not be subject to employment restrictions from a former employer (such as a non-compete) that would prevent the candidate from performing the job responsibilities as described.

Disclaimer

About Guidehouse

Guidehouse is an Equal Employment Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, citizenship status, military status, protected veteran status, religion, creed, physical or mental disability, medical condition, marital status, sex, sexual orientation, gender, gender identity or expression, age, genetic information, or any other basis protected by law, ordinance, or regulation.