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 13 hours ago

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Data Scientists-Associate 2 PwC Acceleration Center India

2.0 - 6.0 years

0 Lacs

maharashtra

On-site

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In this role, you will be responsible for utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for individuals with a strong analytical background to join our Analytics Consulting practice. As an Associate, you will work closely with business analytics teams in India and collaborate with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide valuable business recommendations to project teams. Candidates with a minimum of 2 years of hands-on experience are encouraged to apply for this position. **Must Have:** - Experience in building ML models in cloud environments, such as Azure ML, AWS SageMaker, or Databricks - Knowledge of predictive/prescriptive analytics, including usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good understanding of statistics, including statistical tests & distributions - Experience in data analysis, including data cleansing, standardization, and data preparation for machine learning use cases - Proficiency in machine learning frameworks and tools, such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib - Advanced level programming skills in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Strong communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Create storylines and deliver presentations to the client team and PwC project leadership - Contribute to knowledge-sharing and firm-building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

Posted 2 days ago

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