Data Scientist - ML, Python

Job Summary

The Data Scientist plays a critical role in the organization by creating systems and processes to gather and analyze unstructured 'big data'. This role focuses on generating valuable insights and developing visualization tools that enhance client service delivery and improve product offerings. The Data Scientist collaborates with various stakeholders to leverage data for strategic business solutions.

Key Responsibilities

1. Develop Machine Learning Algorithms Using Python And Tensorflow To Merge, Manage, And Extract Data, Delivering Tailored Reports To Stakeholders.
2. Apply Statistical Techniques And Machine Learning Frameworks Such As Pytorch To Design Custom Data Models And Algorithms, Enhancing Data Processing Capabilities.
3. Utilize Sql To Query Large Datasets, Identifying Meaningful Insights And Interpreting Findings Through Data Mining And Exploratory Data Analysis.
4. Collaborate With Business Stakeholders To Identify And Prioritize Opportunities For Data-Driven Solutions That Support Organizational Goals.
5. Generate Comprehensive Reports And Visualizations That Translate Complex Data Analysis Into Actionable Insights For Stakeholders, Informing Business Decisions.

Skill Requirements

1. Strong Understanding Of Machine Learning Concepts And Frameworks, Including Tensorflow And Pytorch.
2. Proficient In Python Programming For Data Manipulation And Algorithm Development.
3. In-Depth Knowledge Of Sql For Effective Data Querying And Management.
4. Familiarity With Statistical Methods And Data Mining Techniques For Analyzing Large Datasets.
5. Excellent Communication Skills To Convey Technical Findings To Non-Technical Stakeholders.

Other Requirements

1. Optional Certifications: Certified Data Scientist, Tensorflow Developer Certificate, Or Relevant Machine Learning Certifications Are Valuable.