We are seeking a Staff Data Scientist with a strong background in data science. This role involves managing system requirements, design, development, integration, quality assurance, implementation, and maintenance of corporate applications.
Develop and implement machine learning models, perform data analysis, and create predictive models to support the Sales and Client Services teams.
2. Collaborate with stakeholders across the organization to understand their data science needs and provide solutions.
3. Conduct research to identify new methods and techniques to improve existing models.
4. Create visualizations to communicate complex data and insights in a clear and effective manner.
5. Ensure data quality throughout all stages of acquisition and processing, including data cleaning, normalization, and transformation.
6. Continually monitor and evaluate the performance of the models.
7. Provide data-driven insights and recommendations to stakeholders.
8. Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Ø Experience in data science, machine learning, AI, or a related field.
Ø Proficient in Python, R, SQL, and other data science tools.
Ø Experience with big data platforms like Hadoop, Spark, or similar technologies.
Ø Strong knowledge of machine learning techniques and algorithms.
Ø Experience with Generative AI techniques.
Ø Familiarity with Large Language Models such as OpenAI's GPT-3, and open-source models like Falcon or Llama2.
Ø Proficient in Machine Learning Operations (MLOps), including deployment and maintenance of machine learning models.
Ø Excellent problem-solving skills and ability to think critically.
Ø Strong communication skills with the ability to explain complex concepts to non-technical stakeholders.
Ø Familiarity with the sales and client services industry is a plus.
Ø Experience with cloud platforms like AWS, GCP, or Azure is good to have.
Ø Knowledge of data privacy and security principles.
Ø Familiarity with data visualization tools like Tableau, PowerBI, or similar.
Ø Ability to work in a team and independently as required.
Ø Proficient in using Git and version control systems.
Ø Strong project management skills.
Ø Experience in working with unstructured data.
Ø Familiarity with containerization technologies like Docker or Kubernetes.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
