2 Dimension Reduction Jobs

Job Description The Lead Data Scientist will deliver on activities related to the strategy, design, development, implementation of Data Science, Artificial Intelligence (AI) and Machine Learning (ML) for enterprise application functions. Frequently interacting with key stakeholders, the Data Scientist will lead and create advanced analytics models from conceptualization to completion. This position will support different products or lines of businesses to build innovations around AI. Responsibilities Collaborate with business functions/stakeholders on discovery for data science idea generation, provide ideas and influence as well as drive changes End-to-end ownership of work from ideation to production. Develop, manage and maintain Machine Learning and Deep Learning infrastructure from pipelines and modelling to machine learning products and decision support. Work with the business to understand the problem space, identify the opportunities, and translate our problems into analytical solutions Work with other Data Teams and Data Engineers to build upon our data collection, storage, and processing infrastructure Develop, distribute, support - standards, best practices, innovative and automation modeling techniques, and procedures Manage activities that take place during solution ideation, solution design, solution implementation, optimization, and operation Coordinate enhancements and maintenance of information systems to ensure highly reliable and cost-effective operation Qualifications 5+ years of Digital/Data/Analytics/Statistics experience, including 3+ years in Applied AI/ML and Data Science Design and conduct experiments, collect the data necessary to perform statistical hypothesis testing, and create inferences and recommendations Hands on experience in building Machine Learning-enabled products or working with large complex data sets Hands on working knowledge in ML techniques including classification, clustering, dimension reduction, regression, NLP, time series forecasting, and boosting to build explanatory, predictive, and prescriptive models appropriate for solving different problems Hands on experience with distributed data/computing and orchestration tools: Azure Databricks, Spark, MySQL etc. Hands on expertise with statistical techniques and their applications in business. Hands on coding experience with several languages: Python, JavaScript, Java, R etc. Experience with design and development of Generative AI models using state-of-the-art techniques Strategic planning experience that adapts to communication between technical and business stakeholders Strong verbal and written communication skills, interpersonal skills, and organizational skills Strong presentation skills with both technical and non-technical audiences Strong team leadership and/or project management experience with multiple simultaneous initiatives Skilled in the management of complex systems and decision-making under uncertainty Excellent time management skills and strong attention to detail, with experience in adhering to best practices of managing the life cycle of data-intensive ML projects About The Team At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on. Our Companys greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive. Learn more about Working at Wesco here and apply online today! Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500 company. Wesco International, Inc., including its subsidiaries and affiliates (Wesco) provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer. Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act. Show more Show less

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As a ML Developer at EY GDS Assurance Digital, you will be responsible for leveraging advanced machine learning techniques to develop innovative, high-impact models and solutions that drive growth and deliver significant business value. You will be helping EY's sector and service line professionals by developing analytics enabled solutions, integrating data science activities with business relevant aspects to gain insight from data. This is a full-time Machine Learning Developer role, responsible for building and deploying robust machine learning models to solve real-world business problems. You will be working on the entire ML lifecycle, including data analysis, feature engineering, model training, evaluation, and deployment. Requirements: - A bachelor's degree (BE/BTech/MCA & MBA) in Computer Science, Engineering, Information Systems Management, Accounting, Finance, or a related field with adequate industry experience. - Technical skills requirements include developing and implementing machine learning models, conducting exploratory data analysis (EDA), applying dimension reduction techniques, utilizing statistical models, evaluating and validating models, solid background in Python, familiarity with Time Series Forecasting, basic experience with cloud platforms such as AWS, Azure, or GCP, and exposure to ML Ops tools and practices (e.g., MLflow, Airflow, Docker). Additional skill requirements: - Proficient at quickly understanding complex machine learning concepts and utilizing technology for tasks such as data modeling, analysis, visualization, and process automation. - Skilled in selecting and applying the most suitable standards, methods, tools, and frameworks for specific ML tasks and use cases. - Capable of collaborating effectively within cross-functional teams, while also being able to work independently on complex ML projects. - Demonstrates a strong analytical mindset and systematic approach to solving machine learning challenges. - Excellent communication skills, able to present complex technical concepts clearly to both technical and non-technical audiences. Join us in building a better working world at EY, where opportunities for personal development, skill advancement, and career progression await. Be part of a diverse team of professionals dedicated to creating long-term value for clients, people, and society while fostering trust in the capital markets. Apply now and be a part of our journey towards a better future.,