3.0 - 7.0 years

0 Lacs

karnataka

On-site

The company believes in conducting business every day based on core values of Inclusion, Innovation, Collaboration, and Wellness, ensuring a global team works together with customers at the center. As part of the team, you will have the opportunity to impact the business by identifying AI ML opportunities and building solutions that drive results. You will lead ML projects, conduct research to discover new ML techniques, and innovate to enhance team and business efficiencies. Collaborating closely with engineers, analysts, and leaders, you will implement and optimize ML models, establish best practices for model management, deployment, and monitoring, and integrate ML models into products and services. Additionally, you will assist in troubleshooting technical issues, maintain documentation, project tracking, and quality controls. The ideal candidate will have a degree in engineering, science, statistics, or mathematics, possessing a strong technical background in machine learning. Excellent communication skills, an analytical mindset, and a passion for problem-solving are essential. Candidates should have at least 3 years of hands-on experience in problem-solving using Machine Learning, proficiency in Python or Java, and familiarity with technologies like Spark, Hadoop, BigQuery, and SQL. Deep knowledge of machine learning algorithms, explainable AI methods, GenAI, and NLP is required, along with experience with Cloud frameworks such as GCP and AWS. Experience in Lending and Financial services is considered a plus. The company offers a range of benefits, and it is committed to Diversity and Inclusion. To understand more about the company's culture and community, visit https://about.pypl.com/who-we-are/default.aspx. If you are interested in joining the Talent Community or have any questions related to your skills, please don't hesitate to apply, as the company values all candidates and aims to bridge the confidence gap and imposter syndrome.,

Posted 5 days ago

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SENIOR DATA SCIENTIST, GLOBAL DATA SCIENCE (167669) Colgate-Palmolive

5.0 - 9.0 years

0 Lacs

maharashtra

On-site

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.,

Posted 1 week ago

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