REMOTE - Data Scientist II

Wilcore Technologies Inc.

7h • Remote

About The Position

As a Data Scientist II, you will play a pivotal role in transforming complex data into actionable insights that drive strategic business decisions. You will be responsible for designing, developing, and deploying advanced analytical models and machine learning algorithms to solve challenging problems across various domains. Collaborating closely with cross-functional teams, you will translate business needs into data-driven solutions that enhance operational efficiency and customer experience. Your work will involve continuous experimentation, validation, and refinement of models to ensure accuracy and scalability. Ultimately, your contributions will enable the organization to leverage data as a critical asset for innovation and competitive advantage.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field.
• 3+ years of professional experience in data science, analytics, or a related role.
• Proficiency in programming languages such as Python or R for data analysis and model development.
• Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch.
• Strong knowledge of statistical analysis, data mining, and data visualization techniques.
• Familiarity with SQL and working with relational databases.

Nice To Haves

• Master’s degree or higher in a quantitative discipline.
• Experience with big data technologies such as Spark, Hadoop, or cloud-based data platforms.
• Knowledge of deep learning techniques and natural language processing.
• Familiarity with containerization and orchestration tools like Docker and Kubernetes.
• Experience working in an Agile development environment.

Responsibilities

• Develop, test, and implement predictive models and machine learning algorithms to address business challenges.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for optimization.
• Collaborate with product managers, engineers, and stakeholders to understand requirements and deliver data-driven solutions.
• Communicate findings and insights effectively through data visualizations, reports, and presentations to both technical and non-technical audiences.
• Maintain and improve existing data pipelines and analytical tools to ensure data quality and accessibility.
• Stay current with emerging data science techniques, tools, and best practices to continuously enhance analytical capabilities.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level