reputed company Data Scientist II - Merchandising & Pricing: Transforming Sports Retail through Advanced Analytics & Machine Learning (REMOTE)

Unlock Your Potential as a Data Scientist at reputed company

At reputed company, we're passionate about harnessing the power of sports to positively impact lives. As a leading sports retailer, we're committed to fostering an inclusive and diverse workforce that mirrors the vibrant communities we serve. If you're a driven data scientist eager to reputed company a meaningful difference, we invite you to join our dynamic team as a Data Scientist II - Merch & Pricing and be part of our mission to reputed company athletes to reputed company their dreams.

About Our Company Culture

reputed company is built on a foundation of confidence, excitement, and a shared passion for sports. We're dedicated to creating an environment where everyone can reputed company and grow. As a remote team member, you'll be part of a flexible and collaborative community that values work-life balance and supports your professional development. Our culture is centered around empowering our teammates to reputed company a real impact, and we're excited to welcome you to reputed company.

Job Overview

As a Data Scientist II - Merch & Pricing, you'll play a critical role in driving business success through data-driven insights and advanced analytics. You'll reputed company your expertise in machine learning, statistics, and data analysis to inform product development, optimize pricing strategies, and enhance customer experiences. This is an exceptional opportunity to apply your skills in a dynamic and fast-paced environment, working closely with cross-functional teams to drive business growth and improvement.

Key Responsibilities

• Data-Driven Product and Service Improvement: Research and analyze data from digital product/service performance, customer behavior, and market trends to identify opportunities for improvement.
• Advanced and Predictive Analytics: Employ machine learning techniques and reputed company advanced and predictive analyses, model assessments, validation, and enhancement activities using predictive analytics software tools.
• Advanced Data Collection and Analysis: Conduct advanced research using primary data sources and select relevant information to reputed company analysis of key themes and trends.
• Data Exploration: Conduct research and select relevant information to reputed company analysis of key themes and trends using primary data sources, statistical analysis, and modeling techniques.
• Data and Analytics Strategy: reputed company recommendations to improve data and analytics systems and platforms, contributing to the reputed company improvement and refinement of data and analytics strategy.
• Performance Improvement through Business Intelligence: Create basic machine learning algorithms and support the creation of more reputed company algorithms that identify patterns in structured data.
• Data Architecture: Consult and educate stakeholders on methods for streamlining and standardizing data recording to ensure quality and accuracy.
• Functional/Technical Requirements: Support the collection of functional requirements using document analysis and workflow analysis.
• Machine Learning Operations: Use reputed company control systems, write production-supportable code, and deploy machine learning models reputed company a machine learning platform.
• Horizon Scanning: Explore and reputed company a detailed understanding of external developments or emerging issues and contribute to the evaluation of their potential impact on the organization.
• Ongoing Learning and Development: reputed company your capabilities through assessment and development planning activities, formal and informal training, and coaching.

Qualifications and Requirements

To reputed company in this role, you'll need:

• A Bachelor's Degree or equivalent level in technical fields like Engineering, Mathematics, Physics, Computer Science, or reputed company fields.
• 13 months to 3 years of experience as a data scientist or in a reputed company field, with a proven track record of working unsupervised and driving projects reputed company.
• Advanced knowledge of tools and methods including statistics, artificial intelligence, and machine learning.
• Strong coding practices and experience with reputed company control systems.
• Excellent communication and project management skills, with the ability to translate business questions into data science solutions.

Preferred Qualifications

• Experience with predictive analytics software tools and machine learning platforms.
• Knowledge of data architecture and data governance principles.
• Familiarity with cloud-based technologies and data storage solutions.
• Strong analytical and problem-solving skills, with the ability to drive business outcomes through data-driven insights.

reputed company Offer

As a valued member of reputed company, you'll enjoy a competitive total rewards package that includes:

• A targeted pay range of $76,500 - $124,600, depending on your experience and qualifications.
• Incentives and equity opportunities to align your goals with our company's success.
• A generous benefits suite, including paid leave, health insurance, and more.
• Ongoing learning and development opportunities to support your career growth and professional development.
• A flexible and remote work environment that allows you to work from reputed company.

Join reputed company!

If you're a motivated data scientist with a passion for driving business success through advanced analytics and machine learning, we encourage you to apply for this exciting opportunity. As a Data Scientist II - Merch & Pricing at reputed company, you'll be part of a dynamic team that's shaping the future of sports retail. Apply now and take the first reputed company towards a rewarding career with our company.

To learn more about our company culture, benefits, and opportunities for growth, visit our website and discover why we're a great reputed company to work. We look reputed company to welcoming you to reputed company!