DescriptionIt should be a regular Data scientist specialized in Dynamic Pricing. Skills are common - the fit two bullet points explain what we are looking for. Design, develop, and implement advanced pricing models using statistical and machine learning techniques such as regression analysis, demand forecasting, and optimization algorithms. Develop and refine algorithms for dynamic pricing, segmentation, and personalized pricing recommendations to maximize revenue and profitability. Modern machine learning algorithms (e.g., tree-based techniques, supervised, deep learning, probabilistic learning, Reinforcement Learning) Machine Learning Software such as Tensorflow/Pytorch, Caffe Proficiency in programming languages such as Python. Education: Bachelors Degree Additional client information:

THE ROLE: Data Scientist Job Location: USA Remote We're looking for... Join our industry-leading Data Science and Machine Learning team at one of the most successful consumer businesses in Boston where you can grow your career in data science with a rare consumer focus and a cutting-edge toolkit at the forefront of technology. Work with our seasoned data scientists and engineers to build innovative solutions that power our online retail business. Come help us build the next generation of our products! What You'll Do: <ul><li>Work on challenging data science projects like NLP, computer vision, recommender systems, advanced statistical prediction models, and other AI technologies to drive revenue and enhance the personalized shopping experiences of our 50M members</li><li>Develop innovative solutions to business problems leveraging both classic and cutting-edge data science algorithms/frameworks</li><li>You will be involved in the design and implementation of applications and tools based on NLP and GenAI that will revolutionize the way that our software interacts with the users while maintaining a responsible approach to the use of these technologies</li><li>Analyze the specifications for Gen AI-enabled applications such as chatbots</li><li>Work with a state-of-the-art data technology stack (Spark, Tensorflow, Pytorch, Snowflake, Airflow, AWS Ecosystem) that operates in the cloud to empower predictive modeling services for both internal and external customers</li><li>Productionize scalable and distributed data science solutions in cloud-based ecosystems and be responsible for day-to-day production support</li><li>Identify opportunities for data science to increase the organization's efficiency and lift our core business</li><li>Gain exposure to a wide range of business stakeholders and departments ranging from Marketing, Merchandising, and Planning to Executive Leadership</li><li>Work in multi-functional agile teams to continuously experiment, iterate, and deliver on data-driven product objectives</li></ul> About You: At Rue Gilt Groupe, diversity enriches our passion, collaboration, kindness and innovation. We're committed to fostering an inclusive environment where every Associate is empowered to learn, grow and bring their full self to work. Even if you don't check off every qualification in the job description, that's okay. We encourage you to apply to any role that excites you and sparks delight! We can't wait to learn more about you. <ul><li>Advanced degree in Computer Science/ Engineering/ Statistics /physics/math</li><li>Expertise in machine learning, feature engineering, and software development</li><li>4+ Years of relevant experience</li><li>Experience with statistical modeling and large-scale data analytics</li><li>Experience working with Python and SQL</li><li>Knowledge of Spark or similar big data tools and technology is preferred</li><li>Excellent communication skills, the ability to work well in a close-knit team, ego-less coding habits, and a collaborative spirit</li><li>Result driven execution of AI/ML models to drive business forward</li></ul> About the Team: The Data Science team is made up of smart and talented software engineering and data science individuals who have been given the freedom to use the latest cutting-edge techniques and technologies in their experimentation to move the data science and personalization efforts forward to the goal of increasing the magic of our 50M members' online shopping experience and our annual revenues. The data science team is positioned uniquely in the sense that the team is responsible for both creating data science solutions and productionizing the solutions in a scalable cloud environment, which removes the barrier between science and engineering that we typically see in the industry. Expected Base Salary Range: $110,000.00 - $135,000.00 Rue Gilt Groupe is committed to providing Associates with equal pay for equal work and carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, certification(s), license(s), skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Our goal is to support, reward and compensate the entire individual. Depending on role eligibility, your offer may also include bonus/commission, stock options, 401(k) participation & match, paid time off, medical, dental, vision and basic life insurance. Therefore, final offer amounts may vary from the amount stated. #LI-Remote ABOUT US: Rue Gilt Groupe is a leading off-price e-commerce portfolio company, connecting the next-generation shopper to world-class brands. We've defined the online treasure hunt through our daily sale events allowing a large, loyal member base to discover over 5,000 premium and luxury brands at prices up to 70% off full-price retail. Rue Gilt Groupe operates three complementary sites - Rue La La, Gilt, and Shop Premium Outlets. Our vision at RGG is to spark delight through daily discovery - we make shopping an occasion to celebrate. At the forefront of fashion and technology, we're also in the business of sparking delight for our Associates. We inspire each other, our Members, and ourselves to push past the expected - every day. Our culture is rooted in our values and together we work to demonstrate being Kind, Passionate, Collaborative, Innovative, Tenacious and Empowered.

Schneider Electric is looking for a passionate, talented, and inventive Data Scientist / Senior Data Scientist with a passion for learning and discovery. This person will help build industry-leading machine learning tools in the energy and sustainability management industry. As a member of the Sustainability Business team, you will collaborate with internal technology and business teams to build tools to support new services, expand and improve existing services and enable our teams to be more productive. You will be working both structured and unstructured data to solve real-world problems. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Responsibilities: <ul><li>Design and develop optimization techniques and tools to identify trends in complex, large, structured, and unstructured data sets.</li><li>Design and develop simulation tools for training and testing ML, deep learning, and AI models.</li><li>Collaborate with other business team resources to identify, develop, test, and create new solutions/products. </li><li>Apply knowledge of technology with knowledge of contemporary business models to synthesize potential opportunities.</li><li>Work with cutting-edge technologies in ML subfields such as Natural Language Processing (NLP) and Reinforcement Learning (RL).</li></ul> Qualifications: <ul><li>Degree in computer science, mathematics, physics, engineering, ML/AI, or equivalent.</li><li>A strong understanding of AI and ML development, experience with MLOps.</li><li>A "can-do" attitude and the ability to work both independently and within a small group.</li><li>Experience with cloud computing (Azure is a plus!) in the context of ML and AI.</li><li>Programming expertise in languages such as Python, SQL, R, etc.</li><li>Experience with Natural Language Processing, Deep Learning, Transfer Learning, etc.</li><li>Analytical self-starter with strong attention to detail and desire to learn new things.</li><li>Strong organizational and problem-solving skills with the ability to work on multiple complex projects in diverse areas, versatile and capable within multiple disciplines.</li><li>Understanding of microservices and orchestration-based software, i.e. Docker and Kubernetes. </li></ul> Bonus Skills: <ul><li>Experience with optimization, time-series forecasting, and reinforcement learning are all a plus!</li><li>Recent experience with Large Language Models (LLMs) or other Generative AI is a plus!<ul><li>Familiarity with model inference, fine-tuning and retrieval augmented generation (RAG) is desired.</li></ul></li></ul> Location: <ul><li>We strongly prefer this role to be based in Louisville KY, please indicate your relocation opinion in your application quesitons. </li></ul> #LI-MM4 Why us? Schneider Electric is leading the digital transformation of energy management and automation. Our technologies enable the world to use energy in a safe, efficient and sustainable manner. We strive to promote a global economy that is both ecologically viable and highly productive. €25.7bn global revenue 137 000+ employees in 100+ countries 45% of revenue from IoT 5% of revenue devoted for R&D You must submit an online application to be considered for any position with us. This position will be posted until filled It is the policy of Schneider Electric to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. Concerning agencies: Schneider Electric does not accept unsolicited resumes and will not be responsible for fees related to such.

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Data Scientist Jobs in Louisville

Data ScientistApril 22, 2024

Data ScientistApril 21, 2024

Data Scientist Senior Data ScientistApril 16, 2024

Lead Marketing Data ScientistApril 16, 2024

Data ScientistApril 13, 2024

Sr Data ScientistApril 10, 2024

Data ScientistApril 10, 2024

Ec Compliance Monitoring Data ScientistApril 8, 2024

Sr Data ScientistApril 7, 2024

Ec Compliance Monitoring Data ScientistApril 4, 2024