Job Title: Data Scientist

Duration: 9-12-month contract with possible extension

Pay Rate: $50-53/hr

Working Hours: 8-hour shifts – CST or MT time zones

Location: Remote – ideal location in SATX

Required Qualifications:

• Bachelor's Degree in Computer Science or related degree.
• 3+ years’ experience with Python programming and Databricks.
• 2+ years’ experience with SQL-based queries, including creation, optimization, and integration.
• 2+ years’ knowledge of Data Science and NLP.
• Understanding of precision and recall in data science.
• Experience with Data Mining.
• Familiarity with clustering and linking of data.
• Exposure to Text Mining and Natural Language Processing (NLP).
• Familiarity with sentence transformers and their practical applications in real-world scenarios.

Job Description:

Insight Global is seeking a Data Scientist for one of our largest clients. The candidate will be responsible for the end-to-end implementation of machine learning models and solutions, collaborating with business partners, data scientists, IT teams, and the Model Governance team. Key responsibilities include:

• Collaborate with Business Partners, data scientists, IT teams, and Model Governance team to complete end-to-end implementation.
• Create, test, and fine-tune machine learning models.
• In-depth knowledge of machine learning data structures and modeling, software architecture, libraries, and frameworks.
• Strong knowledge of machine learning packages and frameworks.
• Data preparation and analysis skills to work with large datasets, preprocess them, and extract features.
• Knowledge of data analysis, statistical modeling, and machine learning algorithms.
• Compare model outputs using statistical validation techniques.
• Build pipelines with Airflow, implement MLOps best practices, optimize, and deploy various ML models and solutions.
• Monitor model performance and document results.
• Experience with multi-threading and parallelization to improve compute efficiency.

Summary:

Daily responsibilities include:

• Utilize grid space to retain transcripts, enabling keyword search and advanced data retrieval functionalities.
• Conduct thorough quality checks to ensure the accuracy and reliability of the data and processes.
• Develop saturated language-native queries and build sift SQL based on typing in keywords for enhanced search capabilities.
• Create SQL queries outside of the grid space and seamlessly integrate them into our existing systems.
• Work with sentence transformers to help review the standard quality on calls from the call centers.
• Employ sift technology to enhance our data processing capabilities.
• Code and implement solutions primarily in Python, ensuring optimal performance and scalability.