Experienced Full Stack Data Scientist – Web & Cloud Application Development at careerzynith

Are you a data enthusiast with a passion for driving business growth through data-driven insights? Do you have a knack for developing innovative solutions that transform the retail industry? If so, we invite you to join careerzynith as an Experienced Full Stack Data Scientist – Web & Cloud Application Development.

• *About careerzynith**

careerzynith is a leading retail company that's revolutionizing the way people shop and live. With a commitment to innovation and customer satisfaction, we're constantly pushing the boundaries of what's possible in the retail industry. Our team of talented professionals is dedicated to using data science and technology to drive business growth, improve customer experiences, and create new opportunities for success.

• *Job Responsibilities**

As an Experienced Full Stack Data Scientist – Web & Cloud Application Development at careerzynith, you'll play a critical role in driving business growth through data-driven insights. Your responsibilities will include:

• **Data Source Identification**: Identify and extract relevant data from various sources, including external data providers and internal systems. Perform preliminary data quality checks to ensure accuracy and completeness.
• **Problem Formulation**: Analyze business problems and identify opportunities for improvement. Develop and recommend solutions that leverage data science and technology to drive business growth.
• **Analytical Modeling**: Develop and deploy machine learning models to solve complex business problems. Select and develop variables and features iteratively based on model responses in collaboration with the business.
• **Model Deployment & Scaling**: Work with MLOps to push ML models to production. Continuously log and track model behavior against described metrics. Identify model parameters that may need adjustments based on scale of deployment.
• **Code Development & Testing**: Write code to develop the specified solution and application capabilities by identifying the right programming language and leveraging business, technical, and data requirements.
• **Applied Business Acumen**: Evaluate proposed business cases for projects and initiatives. Influence business stakeholder decision-making. Translate business requirements into strategies, projects, and initiatives and align them to business method and goals.
• **Model Assessment & Validation**: Identify and review model assessment metrics based on analytical requirements. Apply appropriate strategies for model testing and tuning to evaluate accuracy, fit, validity, and robustness.
• **Data Visualization and Storytelling**: Identify and recommend the most appropriate visualization tools based on context. Generate suitable graphical representations of data and model outcomes. Understand customer requirements to design suitable data representation for complex data sets and drive User Experience designers and User Interface engineers to build the front-end applications.

• *What You'll Bring**

• Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 4 years of experience in an analytics-related field.
• Deep knowledge and expertise in machine learning, statistics, and data science in general.
• Strong programming skills in at least one of Python/R.
• Ability to execute projects end-to-end, including junior colleagues.
• Implement best practices in ML Ops, coding standards, etc.
• Clearly communicate with business, product, and application partners.
• Ability to translate complex algorithm evaluations into simple language.
• Ability to present to management, including external clients.

• *What You'll Get**

• Competitive salary range of $30-40/hour.
• Comprehensive benefits package, including multiple health plan options, financial benefits, education assistance, parental leave, and paid time off.
• Opportunities for career growth and professional development.
• Collaborative and dynamic work environment with a talented team of professionals.
• Recognition and rewards for outstanding performance.

• *How to Apply**

If you're a motivated and talented data scientist with a passion for driving business growth through data-driven insights, we invite you to apply for this exciting opportunity. Please submit your resume and cover letter to [insert contact information].

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