Submit Your Resume Here [email protected] Responsibilities: Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions that leverage the latest statistical and machine learning techniques. Work collaboratively with the rest of the data science team, data engineers, developers, and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges. Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. Use best practices in applying and deploying data science at scale.. Competencies: Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers. Proficiency in data analysis and programming languages such as SQL, Python, and R. 5+ years of hands-on experience in machine learning, statistics, or experiment design. Master’s Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with a focus on data analysis. Expertise in machine learning, statistics, and data analysis. Must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of problems. Solid grasp of probability, statistical or mathematical modeling, with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. Demonstrated experience in applying machine learning to real-world problems. Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus Must Have Skills Machine Learning, Master’s degree required in statistics, Mathematics, econometrics Preferred Skills Cloud computing platform About Entytle: Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India. Submit Your Resume Here Job Category: Data Scientist Job Type: Full Time Job Location: Pune,India
Work with customers as needed to understand their business challenges and propose new modeling and algorithmic solutions that leverage the latest statistical and machine learning techniques. Work collaboratively with the rest of the data science team, data engineers, developers, and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. Study data sources and find insights/correlations to investigate how data science can be used to solve existing and new business challenges. Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. Use best practices in applying and deploying data science at scale.. Competencies: Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers. Proficiency in data analysis and programming languages such as SQL, Python, and R. 5+ years of hands-on experience in machine learning, statistics, or experiment design. Master s Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with a focus on data analysis. Expertise in machine learning, statistics, and data analysis. Must have an excellent knowledge of advanced methods and experience in applying those methods to a variety of problems. Solid grasp of probability, statistical or mathematical modeling, with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. Demonstrated experience in applying machine learning to real-world problems. Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus Must Have Skills Machine Learning, Master s degree required in statistics, Mathematics, econometrics
with 5-10 years of experience, who can design, build, and maintain scalable applications. The ideal candidate is strong in Java, AWS, Spring, Hibernate, PostgreSQL, React, Data Structures, System Design, Microservices, and Agile Development . Exposure to Python and AI/ML is a plus. Candidates should be quick learners , comfortable with AI-assisted coding tools (Cursor, GitHub Copilot), and productive from Day 1 . Responsibilities: Design & develop scalable full-stack applications. Architect system designs and implements microservices for high performance & reliability. Build & maintain backend services with Java, Spring Boot, Hibernate . Develop RESTful APIs and integrate with AWS cloud services . Design & optimize databases ( PostgreSQL ). Build modern, responsive UIs with React . Apply strong knowledge of Data Structures & Algorithms for efficient solutions. Work in an Agile development environment , delivering high-quality features iteratively. Leverage AI coding tools (Cursor, Copilot) for accelerated development. Must-Have Skills: AWS (cloud services & deployments) React (front-end) System Design & Microservices Agile Development practices CI/CD, Git Strong problem-solving & debugging skills Nice to Have AI/ML concepts What We Offer Work on cutting-edge AI + cloud-native applications Access to latest AI-powered developer tools Collaborative, flexible work environment Growth opportunities in AI/ML, cloud, full-stack engineering Entytle is a global provider of Installed-Base Sales Automation solutions that help B2B manufacturers increase customer loyalty and lifetime value, thus creating customers for life. Entytle has built Entytle Insyghts, an AI-powered platform that enables customers to assemble data from multiple, siloed systems and processes that data to identify usage patterns and customer segments, deliver opportunities for parts and services sales, and drive aftermarket revenue growth. Founded in 2014, the company is based in Austin, TX, with a growing office in Pune, India. Apply for this position Allowed Type(s): .pdf, .doc, .docx This is the Test Pop up for height
As a Solution Manager at Entytle, you will play a crucial role in implementing architecture for our esteemed customers, who are leading equipment manufacturers globally. You will leverage AI-driven Installed Base Intelligence to drive growth in the Aftermarket sector. Your responsibilities will include: - Proficiency in SQL to handle large datasets and write complex queries. - Experience in utilizing visualization tools like PowerBI for data analysis and reporting. - Knowledge of ETL processes and data mining techniques. - Understanding and interpreting customer business requirements to design and architect solutions for Data Analysis projects. - Deep expertise in Database design, modelling, and governance. - Leading and mentoring teams on technical implementations of solutions across the organization. - Familiarity with performance modelling techniques and hands-on experience in ETL processes. - Ideally, you should have 5+ years of experience in the field and possess a strong grasp of the Manufacturing domain. In addition to the above responsibilities, you should have: - Proficiency in Data visualization tools, particularly Power BI, with at least 2 years of experience. - Experience working with databases such as PostgreSql, Sql Server, and MySQL. - Knowledge of DataPrep tools will be considered an advantage. This position requires occasional client interactions in the USA and Europe with less than 20% travel expected. The ideal candidate should have a minimum of 8 years of experience in similar roles. This is a full-time position based in Pune, Maharashtra, with the workplace type being Work from Office.,
We are seeking a Backend Engineer with 5-10 years of experience , who can design, build, and maintain scalable applications. The ideal candidate is strong in Java, AWS, Spring, Hibernate, PostgreSQL, React, Data Structures, System Design, Microservices, and Agile Development . Exposure to Python and AI/ML is a plus. Candidates should be quick learners , comfortable with AI-assisted coding tools (Cursor, GitHub Copilot), and productive from Day 1 . Key Responsibilities. Design & develop scalable full-stack applications. Architect system designs and implement microservices for high performance & reliability. Build & maintain backend services with Java, Spring Boot, Hibernate . Develop RESTful APIs and integrate with AWS cloud services . Design & optimize databases ( PostgreSQL ). Build modern, responsive UIs with React . Apply strong knowledge of Data Structures & Algorithms for efficient solutions. Work in an Agile development environment , delivering high-quality features iteratively. Leverage AI coding tools (Cursor, Copilot) for accelerated development. Must-Have Skills Java, Spring Boot, Hibernate AWS (cloud services & deployments) PostgreSQL React (front-end) Data Structures & Algorithms System Design & Microservices Agile Development practices Experience with CI/CD, Git Strong problem-solving & debugging skills Nice to Have Python exposure Understanding of AI/ML concepts Docker, Kubernetes knowledge What We Offer Work on cutting-edge AI + cloud-native applications Access to latest AI-powered developer tools Collaborative, flexible work environment Growth opportunities in AI/ML, cloud, full-stack engineering
Responsibilities Work with, as needed, customers to understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques. Work collaboratively with the rest of the data science team, data engineers, developers and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. Study data sources and find insights/correlation to investigate how data science can be used to solve existing and new business challenges. Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. Use best practices in applying and deploying data science at scale. Competencies Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. Ability to effectively communicate technical concepts to both technical and non- technical staff members and customers. Proficiency in data analysis and programming languages such as SQL, Python, and R. 5+ years hands-on experience in machine learning, statistics or experiment design. Masters Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with focus on data analysis. Expertise in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems. Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. Demonstrated experience in applying machine learning to real-world problems. Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus. Must Have Skills Machine Learning, Masters degree required in statistics, Mathematics, econometrics Preferred Skills Cloud computing platform (ref:hirist.tech)
We are seeking a Backend Engineer with 5-10 years of experience, who can design, build, and maintain scalable applications. The ideal candidate is strong in Java, AWS, Spring, Hibernate, PostgreSQL, React, Data Structures, System Design, Microservices, and Agile Development. Exposure to Python and AI/ML is a plus. Candidates should be quick learners, comfortable with AI-assisted coding tools (Cursor, GitHub Copilot), and productive from Day 1. Key Responsibilities Design & develop scalable full-stack applications. Architect system designs and implement microservices for high performance & reliability. Build & maintain backend services with Java, Spring Boot, Hibernate. Develop RESTful APIs and integrate with AWS cloud services. Design & optimize databases (PostgreSQL). Build modern, responsive UIs with React. Apply strong knowledge of Data Structures & Algorithms for efficient solutions. Work in an Agile development environment, delivering high-quality features iteratively. Leverage AI coding tools (Cursor, Copilot) for accelerated development. Must-Have Skills Java, Spring Boot, Hibernate. AWS (cloud services & deployments). PostgreSQL. Data Structures & Algorithms. System Design & Microservices. Agile Development practices. Experience with CI/CD, Git. Strong problem-solving & debugging skills. Nice To Have Python exposure. Understanding of AI/ML concepts. Docker, Kubernetes knowledge. What We Offer Work on cutting-edge AI + cloud-native applications. Access to latest AI-powered developer tools. Collaborative, flexible work environment. Growth opportunities in AI/ML, cloud, full-stack engineering. (ref:hirist.tech)
Experience : 5 to 10 years Key Responsibilities Design & develop scalable full-stack applications. Architect system designs & microservices for high performance. Build backend services with Java, Spring Boot, Hibernate. Develop REST APIs & integrate with AWS cloud services. Design & optimize databases (PostgreSQL). Build responsive UIs with React. Apply strong knowledge of DSA & System Design for efficient solutions. Leverage AI coding tools (Cursor, GitHub Copilot) for accelerated development. Must-Have Skills Java, Spring Boot, Hibernate AWS (deployments & integrations) PostgreSQL React Data Structures & Algorithms System Design & Microservices Agile Development, CI/CD, Git Nice To Have Python exposure & understanding of AI/ML concepts Docker, Kubernetes knowledge Why Join Us? Work on next-gen AI + cloud-native products Access to the latest AI-assisted developer tools Collaborative, flexible work environment Growth opportunities in AI/ML, cloud & full-stack engineering (ref:hirist.tech)
Data Scientist Responsibilities ● Work with, as needed, customers to understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques. ● Work collaboratively with the rest of the data science team, data engineers, developers and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. ● Study data sources and find insights/correlation to investigate how data science can be used to solve existing and new business challenges. ● Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. ● Use best practices in applying and deploying data science at scale. Competencies ● Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. ● Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers. ● Proficiency in data analysis and programming languages such as SQL, Python, and R. ● 5+ years hands-on experience in machine learning, statistics or experiment design. ● Master’s Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with focus on data analysis. ● Expertise in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems. ● Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. ● Demonstrated experience in applying machine learning to real-world problems. ● Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. ● Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus. Must Have Skills ● Machine Learning, Master’s degree required in statistics, Mathematics, and econometrics Preferred Skills ● Cloud computing platform
Data Scientist Responsibilities ?Work with, as needed, customers to understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques. ?Work collaboratively with the rest of the data science team, data engineers, developers and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. ?Study data sources and find insights/correlation to investigate how data science can be used to solve existing and new business challenges. ?Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. ?Use best practices in applying and deploying data science at scale. Competencies ?Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. ?Ability to effectively communicate technical concepts to both technical and non-technical staff members and customers. ?Proficiency in data analysis and programming languages such as SQL, Python, and R. ?5+ years hands-on experience in machine learning, statistics or experiment design. ?Master's Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with focus on data analysis. ?Expertise in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems. ?Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. ?Demonstrated experience in applying machine learning to real-world problems. ?Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. ?Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus. Must Have Skills ?Machine Learning, Master's degree required in statistics, Mathematics, and econometrics Preferred Skills ?Cloud computing platform
We are seeking a Backend Engineer with 5-10 years of experience, who can design, build, and maintain scalable applications. The ideal candidate is strong in Java, AWS, Spring, Hibernate, PostgreSQL, React, Data Structures, System Design, Microservices, and Agile Development. Exposure to Python and AI/ML is a plus. Candidates should be quick learners, comfortable with AI-assisted coding tools (Cursor, GitHub Copilot), and productive from Day 1. Key Responsibilities Design & develop scalable full-stack applications. Architect system designs and implement microservices for high performance & reliability. Build & maintain backend services with Java, Spring Boot, Hibernate. Develop RESTful APIs and integrate with AWS cloud services. Design & optimize databases (PostgreSQL). Build modern, responsive UIs with React. Apply strong knowledge of Data Structures & Algorithms for efficient solutions. Work in an Agile development environment, delivering high-quality features iteratively. Leverage AI coding tools (Cursor, Copilot) for accelerated development. Must-Have Skills Java, Spring Boot, Hibernate. AWS (cloud services & deployments). PostgreSQL. Data Structures & Algorithms. System Design & Microservices. Agile Development practices. Experience with CI/CD, Git. Strong problem-solving & debugging skills. Nice To Have Python exposure. Understanding of AI/ML concepts. Docker, Kubernetes knowledge. What We Offer Work on cutting-edge AI + cloud-native applications. Access to latest AI-powered developer tools. Collaborative, flexible work environment. Growth opportunities in AI/ML, cloud, full-stack engineering. (ref:hirist.tech)
Experience : 5 to 10 years Key Responsibilities Design & develop scalable full-stack applications. Architect system designs & microservices for high performance. Build backend services with Java, Spring Boot, Hibernate. Develop REST APIs & integrate with AWS cloud services. Design & optimize databases (PostgreSQL). Build responsive UIs with React. Apply strong knowledge of DSA & System Design for efficient solutions. Leverage AI coding tools (Cursor, GitHub Copilot) for accelerated development. Must-Have Skills Java, Spring Boot, Hibernate AWS (deployments & integrations) PostgreSQL React Data Structures & Algorithms System Design & Microservices Agile Development, CI/CD, Git Nice To Have Python exposure & understanding of AI/ML concepts Docker, Kubernetes knowledge Why Join Us Work on next-gen AI + cloud-native products Access to the latest AI-assisted developer tools Collaborative, flexible work environment Growth opportunities in AI/ML, cloud & full-stack engineering (ref:hirist.tech)
Responsibilities Work with, as needed, customers to understand business challenges and propose new modeling and algorithmic solutions that leverage the latest in statistical and machine learning techniques. Work collaboratively with the rest of the data science team, data engineers, developers and product management to translate business requirements into technical requirements that can be addressed with statistical and machine learning techniques. Study data sources and find insights/correlation to investigate how data science can be used to solve existing and new business challenges. Apply statistical analysis and modeling techniques on small and large datasets to solve specific business problems in the installed base sales automation domain. Use best practices in applying and deploying data science at scale. Competencies Strong sense of and an ability to cultivate an environment of teamwork, and a willingness to help others. Ability to effectively communicate technical concepts to both technical and non- technical staff members and customers. Proficiency in data analysis and programming languages such as SQL, Python, and R. 5+ years hands-on experience in machine learning, statistics or experiment design. Masters Degree required in Statistics, Mathematics, Econometrics, Operations Research, Computer Science, Physics, or a related field with focus on data analysis. Expertise in machine learning, statistics, data analysis. Must have an excellent knowledge of advanced methods, and experience in applying those methods to a variety of problems. Solid grasp of probability, statistical or mathematical modeling with analytical and quantitative problem-solving ability. Experience with time-series analysis would be a plus. Demonstrated experience in applying machine learning to real-world problems. Familiarity with software development cycles, source control systems (including Git), databases, and cloud computing platforms such as AWS. Knowledge of large equipment manufacturing installed base sales, recurring revenue, and equipment service would be a plus. Must Have Skills Machine Learning, Masters degree required in statistics, Mathematics, econometrics Preferred Skills Cloud computing platform (ref:hirist.tech)