Data Scientist

Education:

Cobalt Communications seeks to hire a motivated individual for the position of Data Scientist to join its development team. We are in a growth phase and looking for an individual who wants to be instrumental to this growth. This is a full-time, permanent position with competitive compensation and benefits.

A successful candidate for this position will leverage artificial intelligence and machine learning techniques to analyze large datasets, identify patterns, and develop predictive models. Examples of tasks to be performed include: create and maintain data repositories and data flows in Snowflake and Azure; use data transformation tools to clean and prepare unstructured data for machine learning models; develop and fine-tune ML models to uncover behavioral patterns; perform linear regression on sales data; utilize tools like Power BI or Tableau to visualize and explain complex data patterns; and engage in additional responsibilities such as data mining, statistical analysis, scripting, database design, and collaborating with cross-functional teams to drive data-driven decision-making.

Key Responsibilities:

Machine Learning & AI Development:

• Design, develop, and implement machine learning models for customer profiling and predictive analytics.
• Utilize deep learning frameworks like PyTorch or TensorFlow to build scalable AI solutions.
• Experiment with various algorithms and techniques to improve model accuracy and performance.
• Use deep learning techniques to uncover insights that traditional models might miss, such as subtle behavioral patterns in customer data.

Data Analysis and Modeling:

• Analyze large and complex datasets to identify meaningful patterns and insights.
• Perform feature selection and engineering to enhance model inputs.
• Utilize statistical analysis and predictive modeling to uncover trends and correlations.
• Develop behavior profiles using historical customer data.
• Build and deploy machine learning models to predict customer behavior.

Data Management:

• Handle large datasets using data lakes and ETL processes.
• Perform feature selection and engineering to enhance model inputs.
• Utilize T-SQL for data querying and manipulation.
• Cleanse, preprocess, and validate data to ensure integrity and usability.
• Develop and use data pipelines in cloud platforms such as Snowflake and Azure to efficiently ingest, process, and transform data within the data platform.

Technical Expertise:

• Design and implement data models and database solutions.
• Use scripting languages for data transformation and automation tasks.
• Work with structured and unstructured data formats, including XML and JSON.
• Utilize scripting languages like PowerShell and Python for automation and data processing tasks.

Integration & Deployment:

• Deploy machine learning models into production environments using Azure Machine Learning Services or Snowflake's Snowpark.
• Collaborate with software engineers to integrate AI models with existing systems using Azure DevOps or GitHub.
• Monitor and maintain model performance over time.

Business Intelligence and Reporting:

• Create insightful reports and visualizations using BI tools like Microsoft Power BI or Tableau.
• Present reports and analyses to inform business decisions.

Collaboration and Communication:

• Work closely with cross-functional teams to integrate data-driven insights.
• Stay updated with the latest AI and machine learning technologies and best practices.

Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field.

Required Technical Skills:

• Proficiency in programming and scripting languages like Python or R.
• Experience with machine learning frameworks such as PyTorch and TensorFlow.
• Working knowledge of data lakes, data warehousing, and data pipelines.
• Ability to clean and prepare unstructured data using ETL tools.
• Skills in statistical analysis methods, such as linear regression and data mining techniques.
• Proficiency with tools like Power BI or Tableau for visualizing and explaining complex data patterns.
• Experience with cloud platforms for deploying ML models into production.
• Strong skills in writing and optimizing SQL queries, functions and stored procedures.
• Knowledge of data warehousing concepts and tools, including data integration and transformation.
• Proficient in using version control systems.
• Expert knowledge of Excel and experience handling large datasets.
• Knowledge of data governance, data security, and compliance practices.

Preferred Technical Skills:

• Familiarity with Microsoft technologies such as ML.NET, PowerShell, Power BI, Azure DevOps, SQL Server, T-SQL, Azure Cognitive Services, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks.
• Familiarity with the Snowflake cloud data platform, including Snowflake SQL, Snowpipe, Streams and Tasks, Snowpark, Time Travel and Zero-Copy Cloning features, and integration with BI tools like Power BI or Tableau.

Soft Skills:

• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Ability to work collaboratively in a team environment.

What We Offer:

• Competitive salary plus performance incentives.
• Participation in company health insurance plan.
• Paid vacation and sick days.
• Company laptop & phone.
• Opportunity to advance your career at a rapidly growing company.

Job Type: Full-time

Pay: $85,000.00 - $120,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Vision insurance

Schedule:

• Monday to Friday

Experience:

• Python: 1 year (Preferred)
• SQL: 1 year (Preferred)

Ability to Relocate:

• Fenton, MO 63026: Relocate before starting work (Preferred)

Work Location: In person

Salary : $85,000 - $120,000