Data Scientist
LKA Digital
Richmond, virginia
Job Details
Contract
Full Job Description
At LKA Digital, we are searching for a passionate and skilled Data Scientist to join our innovative team. We believe that data is at the heart of transforming digital landscapes and driving our clients' success. As an integral part of our company, you will be empowered to leverage cutting-edge technology and your deep expertise to craft tailored solutions that address unique challenges. Our collaborative environment is built on the values of transparent communication and results-driven approaches, allowing your ideas to create measurable impacts that drive growth and efficiency. By joining us, you will be part of a dynamic group committed to excellence and client satisfaction, contributing to long-term success while enhancing your personal and professional growth. If you are ready to embrace the evolving digital landscape and make a tangible difference with your skills, LKA Digital is the ideal place for you, where your success will be intertwined with ours, and every contribution is valued.
Responsibilities
- Analyze and interpret complex data sets to provide actionable insights.
- Develop predictive models and machine learning algorithms to support decision-making processes.
- Collaborate with cross-functional teams to understand their data needs and develop tailored solutions.
- Design and implement data collection processes and data management systems.
- Monitor and assess the accuracy and effectiveness of data sources and analysis methods.
- Communicate findings and recommendations to stakeholders through reports and presentations.
- Stay updated with industry trends and advancements in data science and analytics.
Requirements
- Must be a U.S. citizen.
- Bachelor's degree in Data Science, Statistics, Computer Science, or a related field; a Master's degree is a plus.
- Proven experience in data analysis and machine learning techniques.
- Proficiency in programming languages such as Python or R.
- Strong knowledge of database management and query languages such as SQL.
- Familiarity with big data technologies and tools such as Hadoop or Spark.
- Ability to visualize data and present insights using tools like Tableau or Power BI.
- Excellent problem-solving skills and attention to detail.