Senior Data Scientist

1 day ago

Arlington, Virginia, United States Genesis Aspire Partners Full time
Job OverviewGenesis Aspire Partners is seeking a highly skilled Senior Data Scientist to lead the development and implementation of cutting-edge data analytics techniques. This role is instrumental in driving business solutions and insights through data-driven decision-making. The ideal candidate will collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions and improve customer experiences.

Key Responsibilities
  • Develop and implement data science solutions for complex business problems.
  • Utilize advanced data mining and machine learning techniques to gather, analyze, and interpret large datasets.
  • Develop and deploy predictive models and algorithms to enhance decision-making processes.
  • Lead the design and implementation of experiments to test hypotheses and optimize models.
  • Provide strategic guidance and mentorship to junior data scientists and analysts.
  • Collaborate with cross-functional teams to identify data-driven opportunities and provide actionable insights.
  • Develop and maintain scalable data pipelines and data-driven applications.
  • Contribute to the development and implementation of AI and machine learning infrastructure.
  • Stay current with industry trends and best practices in data science and machine learning.
  • Communicate findings and insights to stakeholders in a clear and compelling manner.
  • Contribute to the continuous improvement of data science processes and methodologies.
  • Conduct in-depth analyses to derive insights and drive data-based decision-making.
  • Lead the development and implementation of data governance and data quality initiatives.
  • Participate in the hiring and talent development of the data science team.

Requirements
  • Master's or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
  • Proven experience as a data scientist or similar role, with a strong track record of delivering impactful data science solutions.
  • Proficiency in programming languages such as Python, R, or Java.
  • Expertise in machine learning, statistical analysis, and data visualization techniques.
  • Solid understanding of advanced mathematical and statistical concepts.
  • Experience with big data technologies such as Hadoop, Spark, or Hive.
  • Strong problem-solving and critical thinking skills.
  • Ability to work effectively in a collaborative, cross-functional team environment.
  • Excellent communication and presentation skills to effectively convey complex findings and insights.
  • Experience with data manipulation and analysis tools such as SQL, Pandas, or NumPy.
  • Proven ability to lead and mentor junior data scientists and analysts.
  • Experience in designing and implementing scalable data science solutions.
  • Strong attention to detail and commitment to delivering high-quality work.
  • Knowledge of data governance and data quality best practices.
  • Relevant certifications in data science, machine learning, or related fields are a plus.

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