Data Scientist
4 weeks ago
Guidehouse is seeking a highly skilled Data Scientist to join our ESI Solutions team. As a Data Scientist, you will work with clients to maximize the value of their data and automate business processes.
Our team helps clients 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 intelligent automation.
Key Responsibilities:
- Design and deliver solutions with autonomy, working collaboratively as part of a team
- Proficiency using open source programming such as R or Python
- Proficiency using Power BI, Tableau, Qlik, or Elastic X-Pack for data visualization and developing dashboards
- Ability to explain technical topics to non-technical audiences
- Strong consulting skills: identifying and addressing client needs, building relationships, driving initiatives forward
Requirements:
- U.S. citizenship and ability to obtain a Public Trust clearance
- Bachelors degree in a highly quantitative and computational discipline (e.g., data science, business analytics, economics, statistics, computer science, etc.) AND 3+ years of experience performing data science and analytics (e.g., data visualization, statistical analysis, predictive analysis, and machine learning) with special emphasis on data aggregation/synthesis, data wrangling, prepping data for model consumption
- Or Masters degree in a highly quantitative and computational discipline AND 2+ years of experience performing data science and analytics (e.g., data visualization, statistical analysis, predictive analysis, and machine learning) with special emphasis on data aggregation/synthesis, data wrangling, prepping data for model consumption
What We Offer:
- Competitive compensation and a flexible benefits package
- Opportunities for professional development and growth
- A collaborative and dynamic work environment
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.
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