6 Mahout Jobs

Dear Candidate, We are hiring a Scala Developer to work on high-performance distributed systems, leveraging the power of functional and object-oriented paradigms. This role is perfect for engineers passionate about clean code, concurrency, and big data pipelines. Key Responsibilities: Build scalable backend services using Scala and the Play or Akka frameworks . Write concurrent and reactive code for high-throughput applications . Integrate with Kafka, Spark, or Hadoop for data processing. Ensure code quality through unit tests and property-based testing . Work with microservices, APIs, and cloud-native deployments. Required Skills & Qualifications: Proficient in Scala , with a strong grasp of functional programming Experience with Akka, Play, or Cats Familiarity with Big Data tools and RESTful API development Bonus: Experience with ZIO, Monix, or Slick Soft Skills: Strong troubleshooting and problem-solving skills. Ability to work independently and in a team. Excellent communication and documentation skills. Note: If interested, please share your updated resume and preferred time for a discussion. If shortlisted, our HR team will contact you. Kandi Srinivasa Reddy Delivery Manager Integra Technologies

Responsibilities: Data Scientist responsibilities include Identity, developing and implementing the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI. Define and develop, maintain and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations. Collaborate and communicate findings to diverse stakeholders. Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, natural language processing, Object detection/Image recognition. Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire Qlikview, etc. ) Requirements: Bachelors/ Masters/Ph. D. degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree he ability to break complex business problems. 5 years- of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems Advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. Programming background and expertise in building models using at least one of the following languages: SAS, Python, R. Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout

Responsibilities: Data Scientist responsibilities include Identity, developing and implementing the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI. Define and develop, maintain and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations. Collaborate and communicate findings to diverse stakeholders. Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, natural language processing, Object detection/Image recognition. Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire Qlikview, etc. ) Requirements: Bachelors/ Masters/Ph. D. degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree he ability to break complex business problems. 5 years- of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems Advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. Programming background and expertise in building models using at least one of the following languages: SAS, Python, R. Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout

Responsibilities: Data Scientist responsibilities include Identity, developing and implementing the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI. Define and develop, maintain and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations. Collaborate and communicate findings to diverse stakeholders. Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, natural language processing, Object detection/Image recognition. Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire Qlikview, etc. ) Requirements: Bachelors/ Masters/Ph. D. degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree he ability to break complex business problems. 5 years- of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems Advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. Programming background and expertise in building models using at least one of the following languages: SAS, Python, R. Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout

Responsibilities: Data Scientist responsibilities include Identity, developing and implementing the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI. Define and develop, maintain and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations. Collaborate and communicate findings to diverse stakeholders. Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, natural language processing, Object detection/Image recognition. Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire Qlikview, etc. ) Requirements: Bachelors/ Masters/Ph. D. degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree he ability to break complex business problems. 5 years- of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems Advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. Programming background and expertise in building models using at least one of the following languages: SAS, Python, R. Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout

Responsibilities: Data Scientist responsibilities include Identity, developing and implementing the appropriate statistical techniques, algorithms and data mining analysis to create new, scalable solutions that address business challenges across the organization, as well as provide actionable insights with a clear impact on ROI. Define and develop, maintain and evolve data models, tools, and capabilities. Communicate your findings to the appropriate teams through visualizations. Collaborate and communicate findings to diverse stakeholders. Provide solutions but not limited to: Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization, natural language processing, Object detection/Image recognition. Create interactive tools using cutting-edge visualization techniques (beyond standard visualization like Tableau, Spotfire Qlikview, etc. ) Requirements: Bachelors/ Masters/Ph. D. degree in Math, Computer Science, Information Systems, Machine Learning, Statistics, Econometrics, Applied Mathematics, Operations Research, or related technical degree he ability to break complex business problems. 5 years- of experience in a related position, as a data scientist or business analyst building predictive analytics solutions for various types of business problems Advanced knowledge of statistical techniques, machine learning algorithms, data mining, and text mining. Programming background and expertise in building models using at least one of the following languages: SAS, Python, R. Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig, Sqoop, Mahout