About the job: Key responsibilities: 1. Guide new customers through the onboarding process, ensuring a smooth and positive experience. 2. Identify and address potential issues to ensure customer satisfaction by collecting feedback. 3. Handle escalations and complex queries while building sustainable relationships and trust with users through open and interactive communication. 4. Raise internal tickets where needed and ensure they are properly tracked and updated. 5. Manage inbound and outbound calls when required. 6. Provide support in resolving users' issues via voice call/email/text. 7. Document customer interactions and technical issues, ensuring thorough follow-up and resolution. 8. Collaborate with the technical team to address and escalate complex issues when necessary. 9. Develop and maintain strong relationships with existing clients, serving as their main point of contact and trusted advisor. 10. Partner closely with other cross-functional team members to translate business needs and product requirements into new solutions for customers. Who can apply: Only those candidates can apply who: have minimum 1 years of experience are from Mumbai only Salary: ₹ 4,00,000 - 7,00,000 /year Experience: 1 year(s) Deadline: 2025-06-13 23:59:59 Other perks: Informal dress code, 5 days a week, Health Insurance Skills required: Client Interaction, Client Relationship, Interpersonal skills and Effective Communication About Company: Data Sutram is an AI-driven platform that provides Intel on people & places with data from 250+ sources. The proprietary AI and ML-driven data engine automatically converts raw unstructured sources of data from satellites, mobile phones, POS machines & several other sources to create insights that capture how people live & behave, available for any location in varying levels of granularity. These insights are consumed by several companies in Financial Services, Retail, E-commerce, Manufacturing, etc. through APIs or SDKs or Data Sutram's proprietary geospatial platform. Data Sutram is a VC-funded company backed by Varanium Capital (Varanium NexGen Fund), Yatra Angel Network, IIFL Fintech Fund, Indian Angel Network, and 100xVC. The company is working with over 50+ enterprises across the country and has a team of 40+ people based out of Mumbai and Kolkata.
Responsibilities Data Analysis: Analyze product-level consumption data to identify trends, patterns, and insights that support business objectives. Prepare comprehensive reports and visualizations to communicate findings to stakeholders. Model Preparation: Develop and maintain Excel-based models to support data-driven decision-making. Field Visits: Conduct occasional field visits to observe product usage and gather firsthand insights. Collaborate with clients during visits to enhance understanding of their experiences and challenges. Communication: Work with a team of data scientists and help deliver on projects in a time bound fashion. Proactively working with Product / Business team to drive business strategies to create solutions for client Cross-functional collaboration: Partner with diverse teams to facilitate data-driven decision-making. Offer analytical support for a variety of business initiatives and projects. About Company: Data Sutram is an AI-driven platform that provides Intel on people & places with data from 250+ sources. The proprietary AI and ML-driven data engine automatically converts raw unstructured sources of data from satellites, mobile phones, POS machines & several other sources to create insights that capture how people live & behave, available for any location in varying levels of granularity. These insights are consumed by several companies in Financial Services, Retail, E-commerce, Manufacturing, etc. through APIs or SDKs or Data Sutram's proprietary geospatial platform. Data Sutram is a VC-funded company backed by Varanium Capital (Varanium NexGen Fund), Yatra Angel Network, IIFL Fintech Fund, Indian Angel Network, and 100xVC. The company is working with over 50+ enterprises across the country and has a team of 40+ people based out of Mumbai and Kolkata. Show more Show less
Senior Engineering Manager We are seeking an experienced and dynamic Senior Engineering Manager to lead our engineering team. The successful candidate will be responsible for overseeing the design, development, and implementation of our software products. This role requires a combination of strong technical expertise, leadership skills, and project management abilities. Key Responsibilities: Stakeholder Communication: Communicate project status, risks, and issues to stakeholders. Work closely with product owners to align engineering efforts with business goals. Team Leadership and Development: Lead, mentor, and manage a team of software engineers. Conduct regular performance reviews and provide constructive feedback. Foster a collaborative and inclusive team environment. Technical Guidance: Provide technical direction and guidance to the engineering team. Ensure best practices in software development are followed. Stay updated with the latest industry trends and technologies. Process Improvement: Identify areas for improvement in development processes and implement solutions. Promote agile methodologies and continuous integration/continuous deployment (CI/CD) practices. Ensure the highest standards of software quality and reliability. Oversee code reviews, testing, and deployment processes. Project Management: Oversee project timelines, deliverables, and resource allocation. Ensure projects are completed on time, within scope, and within budget. Collaborate with cross-functional teams including product management, QA, and operations. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or related field. 10+ years of experience in software development, with at least 4 years in a leadership role. Strong understanding of software development life cycle (SDLC) and agile methodologies. Proven experience managing and mentoring a team of engineers. Excellent project management skills and experience with tools like JIRA, Trello, or similar. Proficiency in one or more programming languages (e.g., Node, Python, Javascript, Typescript etc.). Understanding of mobile app development (e.g. Flutter, React Native or Native development) Strong problem-solving skills and the ability to think critically. Excellent communication and interpersonal skills. Preferred Qualifications: Experience with cloud technologies (AWS, Azure, GCP). Familiarity with DevOps practices and tools. Experience in a startup or fast-paced environment. Knowledge of front-end and back-end development.,
Data Sutram, funded by India Infoline (IIFL), Indian Angel Network (IAN) and 100x.VC (led by Sanjay Mehta), is an alternate data company, using external data feeds to create every location's DNA that is utilized in various use cases like credit underwriting, location profiling, site selection, etc. It is one of the fastest-growing companies in the space of Artificial Intelligence & Location Analytics in India. As a data scientist, you get to work in our core product and work on various critical client use cases. As a data scientist, you get to explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists. Roles And Responsibilities Managing available resources such as hardware, data, and personnel so that deadlines are met. Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Defining validation framework and establish a process to ensure acceptable data quality criteria are met Supervising the data acquisition and partnership roadmaps to create stronger product for our customers. Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market Device self-learning strategies through analysis of errors from the models Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics. Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner. Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members. Preferred Technical & Professional Expertise Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning In-depth knowledge of cloud analytics tools. Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes Ability to evaluate hardware selection for running ML models for optimal performance Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines. Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning Deep analytical thinking with excellent problem-solving abilities Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills. Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously. Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards Skills:- Python, Data Analytics, Data Science, Pipeline management, Cloud Computing, Amazon Web Services (AWS), Machine Learning (ML), MongoDB, PostgreSQL, Data Visualization, Data collection and Databases
Data Sutram, funded by India Infoline (IIFL), Indian Angel Network (IAN) and 100x.VC (led by Sanjay Mehta), is an alternate data company, using external data feeds to create every location's DNA that is utilized in various use cases like credit underwriting, location profiling, site selection, etc. It is one of the fastest-growing companies in the space of Artificial Intelligence & Location Analytics in India. As a data scientist, you get to work in our core product and work on various critical client use cases. As a data scientist, you get to explore new solutions and use cases collaborating with Business Analysts & fellow Data Scientists. Roles And Responsibilities Managing available resources such as hardware, data, and personnel so that deadlines are met. Analyzing the ML and Deep Learning algorithms that could be used to solve a given problem and ranking them by their success probabilities Exploring data to gain an understanding of it, then identifying differences in data distribution that could affect performance when deploying the model in the real world Defining validation framework and establish a process to ensure acceptable data quality criteria are met Supervising the data acquisition and partnership roadmaps to create stronger product for our customers. Defining feature engineering process to ensure usage of meaningful features given the business constraints which may vary by market Device self-learning strategies through analysis of errors from the models Understand business issues and context, devise a framework for solving unstructured problems and articulate clear and actionable solutions underpinned by analytics. Manage multiple projects simultaneously while demonstrating business leadership to collaborate & coordinate with different functions to deliver the solutions in a timely, efficient and effective manner. Manage project resources optimally to deliver projects on time; drive innovation using residual resources to create strong solution pipeline; provide direction, coaching & training, feedbacks to project team members to enhance performance, support development and encourage value aligned behaviour of the project team members; Provide inputs for periodic performance appraisal of project team members. Preferred Technical & Professional Expertise Undergraduate Degree in Computer Science / Engineering / Mathematics / Statistics / economics or other quantitative fields At least 2+ years of experience of managing Data Science projects with specializations in Machine Learning In-depth knowledge of cloud analytics tools. Able to drive Python Code optimization; ability review codes and provide inputs to improve the quality of codes Ability to evaluate hardware selection for running ML models for optimal performance Up to date with Python libraries and versions for machine learning; Extensive hands-on experience with Regressors; Experience working with data pipelines. Deep knowledge of math, probability, statistics and algorithms; Working knowledge of Supervised Learning, Adversarial Learning and Unsupervised learning Deep analytical thinking with excellent problem-solving abilities Strong verbal and written communication skills with a proven ability to work with all levels of management; effective interpersonal and influencing skills. Ability to manage a project team through effectively allocation of tasks, anticipating risks and setting realistic timelines for managing the expectations of key stakeholders Strong organizational skills and an ability to balance and handle multiple concurrent tasks and/or issues simultaneously. Ensure that the project team understand and abide by compliance framework for policies, data, systems etc. as per group, region and local standards Skills:- Python, Data Analytics, Data Science, Pipeline management, Cloud Computing, Amazon Web Services (AWS), Machine Learning (ML), MongoDB, PostgreSQL, Data Visualization, Data collection and Databases