Data Scientist / BI Developer

Key Skills

AWS, Azure, Business Intelligence, Cloud computing, Data Analytics, Data Lake, Data Modeling, Data science techniques, Data Visualization, Data Warehousing, Effective communication skills, Machine learning techniques, PowerBI, Presentation skills, Python Programming, QlikView, SQL, Statistics, Tableau

Job Description

What You Will Do:

• 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 architecture and storage to data engineering and querying, 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.
• Belong to the diverse, talented, and collaborative Advanced Analytics & Intelligent Automation team.
• Support National Security clients as a Data Scientist performing data science, analytics, data wrangling, statistical analysis, and machine learning.
• Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.

What You Will Need:

• Ability to work at client sites as needed.
• Bachelor's degree is required
• 5+ years of relevant professional experience in data science / analytics / data visualization.
• 3+ years of experience performing data science and analytics, such as: data wrangling, data visualization, statistical analysis, predictive analysis, and machine learning.
• Proficiency using Power BI, Tableau, Qlik, or Elastic X-Pack for data visualization and developing dashboards.
• Proficiency using SQL for data querying.
• Understanding of database, data warehouse, and data lake concepts.
• Ability to design and deliver solutions independently and work collaboratively as part of a team.
• Strong communication/presentation skills and ability to explain technical topics to non-technical audiences.
• Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward.

What Would Be Nice To Have:

• M.S./M.A. in a highly quantitative and computational discipline (e.g., data science, statistics, computer science, etc.).
• Proficiency using Python for data science: data wrangling, statistical analysis, machine learning models.
• Knowledge of or experience with cloud solutions for data science, such as Azure or AWS.
• Experience supporting the Federal National Security sector.
• Ability to support business development including RFP/RFQ/RFI responses involving data science / analytics.
• Secret or Top Secret Clearance

What We Offer:

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
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

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.