Data Scientist-Machine Learning, Senior Consultant

HomeData Scientist-Machine Learning, Senior Consultant

Data Scientist-Machine Learning, Senior Consultant

Company:
Guidehouse

Location: Washington, DC 20036

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Overview:

Guidehouse is a leading management consulting firm serving the public and commercial markets. We guide our clients forward towards new futures that build trust in society and your professional skills along the journey. Join us at Guidehouse.

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:

Minimum Security Clearance: Secret

Minimum Years of Experience: 5

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
4+ years of custom Machine Learning and AI model training (to include supervised and unsupervised) and Natural Language Processing (NLP) expertise
2+ years of Python experience
1+ years’ experience with data visualization tools Power BI, Tableau, or Qlik
2+ years’ experience with database administration in Microsoft SQL Server

Preferred:

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

Knowledge, experience, and skills:

Some experience with message queueing via a tool like RabbitMQ or Kafka
2+ years’ experience with SharePoint development
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.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [email protected]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Rewards and Benefits

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program