Senior Data Analyst

5 days ago


Springfield, Virginia, United States Wiser Full time
About Wiser\

At Wiser, we combine technology and expertise to develop innovative solutions for clients in the public, private, and government sectors. Our team of experts works closely with clients to understand their needs and develop tailored solutions that meet their goals.

What We Offer\
  • \
  • A dynamic and supportive work environment.\
  • Ongoing training and professional development opportunities.\
  • A competitive salary range: $120,000 - $180,000 per year.\
  • A comprehensive benefits package, including health insurance, retirement plan, and paid time off.\
  • Opportunities for career growth and advancement.\
  • The chance to work on exciting and challenging projects.
About the Role\

We are seeking a highly skilled Data Scientist to join our team in Springfield, VA. As a key member of our geospatial data analysis team, you will work closely with cross-functional teams to develop innovative solutions for clients in the public, private, and government sectors.

Responsibilities\
  • \
  • Develop and maintain complex geospatial data systems using Python, Java, and SQL.\
  • Analyze large datasets to identify trends, patterns, and correlations.\
  • Design and implement machine learning models to improve data quality and accuracy.\
  • Collaborate with senior engineers to integrate data into enterprise environments.\
  • Maintain and update technical documentation and knowledge bases.\
  • Participate in code reviews and contribute to the development of best practices.\
  • Stay up-to-date with industry trends and emerging technologies.\
  • Communicate effectively with both technical and non-technical stakeholders.\
  • Meet project deadlines and deliver high-quality results.
Requirements\
  • \
  • Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.\
  • Minimum 3 years of experience in data science, machine learning, or a related field.\
  • Proven track record of developing and deploying scalable data systems.\
  • Experience working with geospatial data formats, such as ArcGIS and PostgresSQL.\
  • Advanced knowledge of programming languages, including Python and Java.\
  • Strong understanding of data structures, algorithms, and software design patterns.\
  • Excellent problem-solving skills and attention to detail.\
  • Ability to work in a fast-paced environment and meet deadlines.

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