3 Kmeans Clustering Jobs

Genpact is a global professional services and solutions firm dedicated to shaping the future through the delivery of outcomes. With over 125,000 employees in more than 30 countries, we are motivated by curiosity, agility, and a commitment to creating lasting value for our clients. Our purpose is driven by the relentless pursuit of a world that works better for people, enabling us to serve and transform leading enterprises, including the Fortune Global 500. We leverage our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI. We are currently seeking applications for the position of Manager - Data Science. This role is crucial in supporting Commercial Analytics enablement, focusing on understanding business trends and providing data-driven solutions. Specifically within Customer Analytics, the emphasis is on bringing and scaling analytics solutions that enhance Customer centricity and transformation. The Analytics member plays a key role in providing analytic expertise and delivering valuable business insights to the Commercial organization. We are looking for a technically sound individual who is enthusiastic about working in a customer-centric environment. The ideal candidate should possess core data analytics experience in industries such as Life Sciences, Healthcare, or CPG, combined with hands-on technical skills in Python, SQL, and PowerBI. Key Responsibilities: - Implement Analytics for business decision support, utilizing statistical/machine learning models and delivering measurable impact - Proficiency in Python/R, SQL, visualization tools (PowerBI or Tableau), MS Excel, and MS PowerPoint for delivering insights and results - Familiarity with deep learning concepts, cognitive cloud APIs from AWS/Azure, Docker, and MLOps is preferred - Experience in business analytics within the Pharma/CPG sector in the Healthcare domain - Ability to handle various data sources, develop reporting capabilities, and derive valuable insights - Automation of data preparation through data pipelines and insights/report creation - Convert business needs into BRD & TRD, develop implementation roadmap, and execute on time - Proactively respond to requests for ad hoc analyses - Strong verbal and written communication skills - Ownership of tasks without supervisory follow-up - Proactive planner capable of working independently to manage responsibilities - Demonstrates personal drive and positive work ethic to deliver results within tight deadlines and demanding situations Qualifications: Minimum Qualifications / Skills: - Masters or bachelor's degree in engineering (BE/B-Tech, BCA, MCA, BSc/MSc) - Masters in science or related field Preferred Qualifications / Skills: - Excellent written and verbal communication skills with experience in customer interfacing roles - Strong requirement understanding, analytical, and problem-solving abilities - Interpersonal efficiency and positive attitude If you are a motivated individual with a passion for data science and analytics, we invite you to join our team at Genpact and contribute to shaping the future of business analytics.,

As a Senior Data Scientist at Zinnia, you will be a vital member of our team, playing a key role in developing cutting-edge solutions to drive the growth of life and annuities products. Your expertise in machine learning and forecasting will be instrumental in influencing decision-makers and shaping the future of our business. In this high-impact role, you will independently own and build forecasting models, working closely with stakeholders from Product, Data Engineering & Analytics, and Business Strategy. By leveraging data from various sources, you will provide valuable insights and develop new data-driven tools to enhance customer experiences and streamline internal processes. Your responsibilities will include developing machine learning applications using Python, implementing supervised and unsupervised models such as random forest, gradient boosting, and support vector machines. You will also work on advanced modeling techniques like reinforcement learning and neural networks to deliver prescriptive insights and automated decision-making capabilities. Moreover, you will collaborate with data engineering teams to ensure the quality of data, conduct experiments to measure model impact, and manage training pipelines effectively. Your role will involve translating complex business problems into actionable data science projects and deploying models to production infrastructure. As a mentor and collaborator, you will work with other data scientists and data analysts to foster a culture of learning and innovation within the team. Additionally, you will partner with marketing teams to conceptualize applications that drive company growth and strategy, connecting machine learning solutions with business needs. To excel in this role, you should have a minimum of 5 years of experience in building and validating machine learning models in Python. Your expertise should cover a range of model techniques including supervised and unsupervised learning, as well as advanced techniques like neural networks and natural language modeling. Experience with relational cloud databases and unstructured datasets will also be crucial for success in this position. If you are a highly motivated individual with a passion for data science, a drive to solve complex business challenges, and a desire to make a significant impact in the insurance industry, we invite you to join us at Zinnia and be part of our mission to protect financial futures through innovation and data-driven insights.,

As a Senior Data Scientist in the Global Data Science & Advanced Analytics team at Colgate-Palmolive, your role will involve leading projects within the Analytics Continuum. You will be responsible for conceptualizing and developing machine learning, predictive modeling, simulations, and optimization solutions to address business questions with clear dollar objectives. Your work will have a significant impact on revenue growth management, price elasticity, promotion analytics, and marketing mix modeling. Your responsibilities will include: - Conceptualizing and building predictive modeling solutions to address business use cases - Applying machine learning and AI algorithms to develop scalable solutions for business deployment - Developing end-to-end business solutions from data extraction to statistical modeling - Conducting model validations and continuous improvement of algorithms - Deploying models using Airflow and Docker on Google Cloud Platforms - Leading pricing, promotion, and marketing mix initiatives from scoping to delivery - Studying large datasets to discover trends and patterns - Presenting insights in a clear and interpretable manner to business teams - Developing visualizations using frameworks like Looker, PyDash, Flask, PlotLy, and streamlit - Collaborating closely with business partners across different geographies To qualify for this position, you should have: - A degree in Computer Science, Information Technology, Business Analytics, Data Science, Economics, or Statistics - 5+ years of experience in building statistical models and deriving insights - Proficiency in Python and SQL for coding and statistical modeling - Hands-on experience with statistical models such as linear regression, random forest, SVM, logistic regression, clustering, and Bayesian regression - Knowledge of GitHub, Airflow, and visualization frameworks - Understanding of Google Cloud and related services like Kubernetes and Cloud Build Preferred qualifications include experience with revenue growth management, pricing, marketing mix models, and third-party data. Knowledge of machine learning techniques and Google Cloud products will be advantageous for this role. Colgate-Palmolive is committed to fostering an inclusive environment where diversity is valued, and every individual is treated with respect. As an Equal Opportunity Employer, we encourage applications from candidates with diverse backgrounds and perspectives. If you require accommodation during the application process due to a disability, please complete the request form provided. Join us in building a brighter, healthier future for all.,