Data Scientist
Job Title : Data Scientist
Location : Tampa / Dallas - Remote
Type : Fulltime / Permanent
Skill
Data Science
Minimum Experience
6 - 8 Years
Job description : Relevant Experience
in Yrs) 6+ Must Have Technical / Functional Skills
- Preferred Knowledge / Skills :
- Demonstrates some abilities and / or a proven record of success with identifying and addressing client needs using the following techniques, tools and programs :
- Machine Learning;
- Deep Learning;
- Natural Language Processing (NLP);
- Generative AI;
- Programming skills (e.g., Python, R, Java, SQL, Jupyter Notebooks, IDEs);
- Data wrangling / modeling;
- Structured data storage technologies (e.g., SQL Server, PostgreSQL);
- Unstructured data storage technologies (e.g., MongoDB, Neo4j);
- Big data tools (e.g., Hadoop, Spark / PySpark, Kafka);
- Testing tool experiences (e.g., Selenium, Cucumber, Postman);
- Visualization tools (e.g., Tableau, Zoomdata, PowerBI);
- DevOps technologies & tools (e.g., Git, Jenkins, Docker / Kubernetes);
- Cloud Platforms (e.g., Azure, AWS, GCP); and,
- Scrum / Agile Methodologies.
Experience Required 6+ Roles & Responsibilities
- Collecting, processing, and analyzing large and complex data sets.
- Developing predictive models and algorithms to derive insights from data.
- Collaborating with cross-functional teams to understand business requirements and deliver actionable insights.
- Presenting the results in a clear and interesting way
Good to have : Must have exposure in Agile projects with knowledge of Azure DevOps and Agile tools. Generic Managerial Skills
- Strong problem-solving skills & analytical skills
- Proficient in communications
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination.
All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role.
We promote and support a diverse workforce across all levels in the company.
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