Data Scientist

6 days ago


Arlington, Virginia, United States Technomics Full time
Job Title: Mid-Level Data Scientist

About the Role:

We are seeking a highly skilled Mid-Level Data Scientist to join our team at Technomics. As a key member of our analytics team, you will be responsible for developing and implementing data-driven solutions to drive business growth and improve decision-making.

Key Responsibilities:

  • Develop and maintain complex data models and algorithms to analyze large datasets and provide actionable insights
  • Collaborate with cross-functional teams to design and implement data-driven solutions to business problems
  • Develop and maintain data visualizations and reports to communicate complex data insights to stakeholders
  • Stay up-to-date with industry trends and emerging technologies to continuously improve data analysis and visualization capabilities
  • Lead and mentor junior team members to develop their skills and expertise

Requirements:

  • 4+ years of experience in data science, analytics, or a related field
  • Strong programming skills in languages such as R, Python, or SQL
  • Experience with data visualization tools such as Tableau or Power BI
  • Excellent communication and collaboration skills
  • Ability to work in a fast-paced environment and prioritize multiple projects

Preferred Qualifications:

  • Experience with machine learning and deep learning techniques
  • Knowledge of cloud-based data platforms such as AWS or Azure
  • Experience with data engineering and architecture
  • Certifications in data science or analytics

About Technomics:

Technomics is a growing employee-owned, decision analytics company that specializes in cost and economic analysis to facilitate better decisions faster. We enable a wide range of clients across the Federal government to choose smartly, buy effectively and operate efficiently.

We deliver practical, credible and defensible results offering actionable insights by applying data-driven and analytics-based approaches in combination with multidisciplinary talent, subject matter experts, and tangible and repeatable assets in the form of databases, models, approaches and techniques.

We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, national origin, sex, age, marital status, disability or veteran status.


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