239 Random Forest Jobs

-Experience in building end-to-end ML pipelines and deploying models in production. -Experience with MLOps tools such as MLflow, Airflow, or Docker/Kubernetes. -Exposure to probabilistic modelling, Bayesian inference, or time-series forecasting.

As an experienced data scientist at Abbott Healthcare in Mumbai, your role will involve leading the design and development of advanced analytical solutions. You will transform large data into meaningful business insights, either independently or by collaborating with junior team members. Your responsibilities will include: - Conducting and managing analysis and modeling to deliver AI/ML solutions - Communicating results to senior stakeholders - Collaborating with cross-functional teams to understand business problems - Framing project outlines based on available data and systems - Building and presenting strong narratives to senior stakeholders regularly - Implementing and maintaining soluti...

Role Overview: You will be responsible for leading the design and development of advanced analytical solutions at Abbott Healthcare in Mumbai. Your role will involve conducting analysis, modelling, and communicating results to senior stakeholders. Additionally, you will collaborate with cross-functional teams to address business problems using available data and systems. Key Responsibilities: - Lead the design and development of advanced analytical solutions - Transform large data into meaningful business insights - Collaborate with cross-functional teams to understand business problems and frame project outlines - Build and present strong narratives based on insights and impact to senior st...

Role Overview: As a Machine Learning Engineer, you will play a key role in developing and enhancing a Telecom Artificial Intelligence Product using cutting-edge technologies. Your focus will be on implementing advanced algorithms and models to solve complex problems related to anomaly detection, forecasting, event correlation, and fraud detection. Key Responsibilities: - Develop production-ready implementations of proposed solutions across various machine learning and deep learning algorithms, including testing on live customer data to enhance efficacy and robustness. - Research and test novel machine learning approaches for analyzing large-scale distributed computing applications. - Impleme...

Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn ...

We are seeking a highly skilled Senior Data Scientist with experience in pricing optimization, pricing elasticity, and AWS SageMaker. The ideal candidate will have a strong foundation in Statistics and Machine Learning, with a particular focus on Bayesian modeling. As part of our Data Science team, you will work closely with clients to develop advanced pricing strategies using state-of-the-art tools and techniques, including AWS SageMaker, to optimize business outcomes. Key Responsibilities: Lead and contribute to the development of pricing optimization models, leveraging statistical and machine learning techniques to inform strategic decisions. Analyze pricing elasticity to predict consumer...

Strong problem-solving skills with an emphasis on product development. Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets. Experience working with and creating data architectures. Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks. Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. Excellent written and verbal communication skills for coordinating across teams. A drive to learn ...

As a Senior Data Scientist at Mondelz International, you will play a crucial role in supporting the business by creating valuable insights from data and communicating these findings effectively. Your responsibilities will involve leading data science projects, advising on AI capabilities, establishing governance frameworks, recommending appropriate tools and technologies, and sharing knowledge with team members. Here is a breakdown of your role: **Key Responsibilities:** - Lead Data Science Application Development/Deployment: Lead the full lifecycle of data science projects, from ideation to deployment and optimization. - Advisory AI/GenAI: Provide strategic advice on evolving AI capabilitie...

As a Manager in the Pricing Strategy team at KPMG Global Services (KGS), your role will involve working closely with client staff and management to develop and deliver pricing solutions and recommendations. You will collaborate with client teams, conduct data analysis, lead project teams, build relationships with clients and stakeholders, and contribute to business development activities. Your responsibilities will also include team management, performance management, and driving commercial goals to achieve target hours and penetration. Key Responsibilities: - Work collaboratively with client staff and management in developing pricing solutions and recommendations - Understand client system ...

As an AI/ML (Associate Role) at Navaera Worldwide, you will have the opportunity to work in the areas of Data Analytics, Computer vision, NLP, OCR related tasks. Your responsibilities will include data collection, dataset preparation, architecture modeling, model training/testing, and deployment. Additionally, you will be expected to handle digital data extraction and processing, create training and testing pipelines with different aspects of data, and develop model architecture from scratch or transform pre-trained models. Staying updated with the latest AI trends to ensure the process is up-to-date is crucial. You will also identify opportunities for process improvements and recommend syst...

Roles & Responsibilities: Build and deploy predictive and prescriptive machine learning models to solve business problems. Collect, clean, and transform structured/unstructured data using Python, SQL, and data pipelines. Conduct exploratory data analysis (EDA), identify patterns, and generate actionable insights. Collaborate with business, analytics, and engineering teams to define data-driven solutions. Design and automate dashboards and KPIs to monitor model performance and business impact. Apply statistical, ML, and deep learning techniques for classification, regression, clustering, and NLP tasks. Present findings and recommendations to stakeholders through visual storytelling and report...

Role: Data scientist About Straive: Straive is a market leading Content and Data Technology company providing data services, subject matter expertise, & technology solutions to multiple domains. Data Analytics & Al Solutions, Data Al Powered Operations and Education & Learning form the core pillars of the companys long-term vision. The company is a specialized solutions provider to business information providers in finance, insurance, legal, real estate, life sciences and logistics. Straive continues to be the leading content services provider to research and education publishers. Data Analytics & Al Services: Our Data Solutions business has become critical to our client's success. We use te...

8+ years of experience in Life Science / Pharmacy Hands on experience in statistical programming languages like R, Python, Good to have experience in Thingworx analytics and database query languages like SQL, Hive and Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators etc. Good knowledge of machine learning methods like k-Nearest neighbors, nave bayes, SVM and decision forests. R OR Python + ML + Regression + classification + clustering + SVM (support vector machine) + decision trees / random forest.

This is for 6 Months Extendable Contract. Location: Remote Role & responsibilities Desirable to have 5-10 years of programming experience in using Python/Pyspark libraries / machine learning libraries with sound understanding of ML concepts/ Probabilistic Models, Supervised / Unsupervised Learning, Ensemble Techniques, Hyperparameter tuning, good knowledge of constraint Optimization, and Deep Learning models Strong experience in developing and maintaining machine learning models/sound knowledge of Regression/ Logistic Regression, Random Forest, XGBoost, SVM, Clustering etc. Explore data and communicate insights clearly to non-technical as well as technical audience. Expertise in machine lear...

Job Description: As a web developer at this company, your role will involve developing and maintaining web applications using Python, Django, and Flask. You will be responsible for writing clean, efficient, and reusable code while also designing and implementing RESTful APIs. Additionally, you will need to assess whether a given problem can be addressed using advanced data analytics and/or various machine learning techniques. You will also work on ideas for data collection, clean and structure the data by applying feature-engineering techniques, and train models for designing, developing, and implementing POCs. Key Responsibilities: - Develop and maintain web applications using Python, Djang...

Role & responsibilities Develop predictive models for demand forecasting, trade promotion optimization, and product assortment, Price, Churn and other ML based use case Partner with business teams to translate problems into analytical solutions Deploy production-ready models and deliver actionable insights to stakeholders Required Qualifications Experience & Domain 4+ years hands-on experience in data science and statistical modeling Strong background in CPG/FMCG/Retail industry Proven experience in Revenue Growth Management use cases (forecasting, trade promotion, assortment, churn, fraud detection) Technical Skills Expert-level proficiency in statistics and statistical modeling Strong comm...

As a Data Scientist at Infosys Consulting, you will be part of a specialized customer-facing AI Labs team within the Automation & Artificial Intelligence Consulting Practice. Your role will involve working closely with AI Consultants and SMEs to define and deliver best-in-class solutions. You should be entrepreneurial, possess strong design skills, be highly analytical, emotionally intelligent, a team player, and driven by making a meaningful impact through your work. This role offers exceptional opportunities for personal growth and recognition for your contributions to developing new opportunities and thought leadership in artificial intelligence and automation domains. - Establish product...

Responsibilities: * Develop ML models using Python, TensorFlow & PySpark. * Optimize model performance through data preprocessing & hyperparameter tuning. * Collaborate with cross-functional teams on NLP projects. Health insurance Provident fund Annual bonus

We are looking for a Senior Data Scientist who is passionate about solving complex business problems using data. The ideal candidate will have strong hands-on experience in Python , SQL , and advanced machine learning algorithms , along with domain expertise in forecasting , pricing optimization , or inventory planning . You will work closely with cross-functional teams including product, engineering, and business stakeholders to drive data-driven strategies. Note: We are specifically seeking candidates who are currently serving their notice period or are immediate joiners available to join within October 2025 . Key Responsibilities: Design, build, and deploy predictive and optimization mode...

Why would you like to join us? TransOrg Analytics specializes in Data Science, Data Engineering and Generative AI, providing advanced analytics solutions to industry leaders and Fortune 500 companies across India, US, APAC and the Middle East. We leverage data science to streamline, optimize, and accelerate our clients' businesses. Visit at www.transorg.com to know more about us. What do we expect from you? Analyze & interpret data and communicate results to clients, often with the aid of mathematical/statistical techniques and software. Data exploration, statistical/ predictive modelling, data analysis and hypothesis testing. Design, development and deployment of Predictive models and frame...

As a Machine Learning Engineer at our company, you will be responsible for designing and developing a cutting-edge application powered by large language models (LLMs) to provide market analysis and generate high-quality, data-driven periodic insights. Your role will be crucial in building a scalable and intelligent system that integrates structured data, NLP capabilities, and domain-specific knowledge to produce analyst-grade content. **Key Responsibilities:** - Design and develop LLM-based systems for automated market analysis. - Build data pipelines to ingest, clean, and structure data from multiple sources (e.g., market feeds, news articles, technical reports, internal datasets). - Fine-t...

In this role at Agoda, you will be leading the team technically to enhance the scalability, stability, accuracy, speed, and efficiency of the existing ML systems and processes. You will be responsible for building, administering, and scaling ML processing pipelines. You should be comfortable working with technologies such as Python3, Scala Spark, scripting (Bash/Python), Hadoop, SQL, S3, etc. Additionally, you should have a good understanding of ML models like LightGBM, Random Forest, CNN, Regression models, etc. Your responsibilities will include designing, building, testing, and deploying new libraries, frameworks, or full systems for the core systems while maintaining high standards of te...

As a Data Scientist, you will play a key role in transforming data into actionable insights to improve our HR and payroll solutions. Youll lead a team of data scientists, drive advanced analytics initiatives, and collaborate with cross-functional teams to deliver high-impact, data-driven solutions. Required Qualifications Masters degree in Computer Science, Data Science, AI, or a related field. 57 years of experience in data science or a similar role. Strong expertise in machine learning, statistics, and data mining. Proficiency in Python and data science libraries (e.g., pandas, TensorFlow). Experience with Azure, especially Data Factory and Git (Azure MLOps). Strong problem-solving, leader...

About the Role We are looking for a highly skilled Data Scientist /Sr Data Scientist / Lead Data Scientist with expertise in Causal Modeling to join our analytics team. The ideal candidate will have strong statistical and econometric foundations, hands-on experience in designing and implementing causal inference methods, and the ability to derive business insights that influence strategic decisions. Key Responsibilities Design and implement causal inference frameworks to measure the true impact of business initiatives, marketing campaigns, and product interventions. Apply methods such as propensity score matching, instrumental variables, difference-in-differences, regression discontinuity, u...

Apply machine learning techniques to deliver actionable insights End to end coding using Python, R Responsible for model development - manipulation including data exploration, training data, feature extraction and model development, validation and scoring on structured and unstructured data and to highlight patterns, anomalies, relationships and trends Build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems Apply standard statistical methods, simulation models and statistical programming as needed Skills and attributes for success An overall 2 + years of hands-on work...