42 Statistical Models Jobs - Page 2

Role - Lead AI Engineer Experience: 3+ years in AI/ML Location: Gurgaon, work from office About Tap Health: Tap Health is a deep-tech platform that is transforming chronic care management with AI and changing how you access health information. Powered by our proprietary Medical AI model, VaiD, Tap Health is designed to make healthcare accessible to millions. We are developing next-generation Digital Therapeutic products that redefine chronic illness management through AI-driven, hyper-personalized care. Our platform helps users manage conditions such as diabetes, hypertension, PCOS, pregnancy and asthma by delivering daily structured digital therapeutics, lifestyle interventions, personalized nutrition and exercise guidance and real-time monitoring, all without requiring human intervention. Leveraging AI and adaptive algorithms, Tap Health dynamically personalizes each users care journey, delivering enhanced insights, interventions, motivation, adherence and clinical outcomes at a fraction of traditional healthcare costs. Beyond Digital Therapeutics, the Tap Health platform also provides free primary illness diagnosis based on symptoms and instant health advice through a seamless, voice-first experience. www.tap.health Role Overview: Lead AI Engineer We are hiring a full-time Lead AI Engineer in Gurgaon to drive AI-driven healthcare innovations. The ideal candidate has 3+ years of AI/ML experience, 6+ months of GenAI production experience, and 1+ year of hands-on GenAI product development. You need to have a strong data science background and have expertise in GenAI, Agentic AI deployments, causal inference, and Bayesian modeling, with a strong foundation in LLMs and traditional models. You will be collaborating with the AI, Engineering, and Product teams to build scalable, consumer-focused healthcare solutions. As a Lead AI Engineer, you will be the go-to expertthe engineer others turn to when they hit roadblocks. You will mentor, collaborate, and enable high product velocity while fostering a culture of continuous learning and innovation. Skills & Experience The ideal candidate should have the following qualities: Strong understanding of fine-tuning, optimization, and neural architectures. Hands-on experience with Python, PyTorch, and FastAI frameworks. Experience running production workloads on one or more hyperscalers (AWS, GCP, Azure, Oracle, DigitalOcean, etc.). In-depth knowledge of LLMshow they work and their limitations. Ability to assess the advantages of fine-tuning, including dataset selection strategies. Understanding of Agentic AI frameworks, MCPs (Multi-Component Prompting), ACP (Adaptive Control Policies), and autonomous workflows. Familiarity with evaluation metrics for fine-tuned models and industry-specific public benchmarking standards in the healthcare domain. Knowledge of advanced statistical models, reinforcement learning, and Bayesian inference methods. Experience in Causal Inference and Experimentation Science to improve product and marketing outcomes. Proficiency in querying and analyzing diverse datasets from multiple sources to build custom ML and optimization models. Comfortable with code reviews and standard coding practices using Python, Git, Cursor, and CodeRabbit.,

The Company Our beliefs are the foundation for how you conduct business every day. You live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that you work together as one global team with our customers at the center of everything you do and they push you to ensure you take care of yourselves, each other, and our communities. Job Description Summary: What you need to know about the role: A Business Systems Analyst passionate about delivering quality deliverables in a fast-paced environment with an undivided customer focus. Meet our team: The Finance Technology team consists of a diverse group of well-talented, driven, hive-minded subject matter experts that relentlessly work towards enabling the best-in-class solutions for our customers to transform current state solutions. You will work with this team to set up finance solutions, explore avenues to automate, challenge the status quo, and simplify the current state through transformation. Job Description: Your way to impact Your day to day: - Build scalable systems by leading discussions with the business, understanding the requirements from both Customer and Business, and delivering requirements to the engineering team to guide them in building a robust, scalable solution. - Have hands-on technical experience to support across multiple platforms (GCP, Python, Hadoop, SAP, Teradata, Machine Learning). - Establish a consistent project management framework and develop processes to deliver high-quality software in rapid iterations for business partners in multiple geographies. - Participate in a team that designs, develops, troubleshoots, and debugs software programs for databases, applications, tools, etc. - Experience in balancing production platform stability, feature delivery, and the reduction of technical debt across a broad landscape of technologies. What Do You Need To Bring: - You have consistently high standards, and your passion for quality is inherent in everything you do. - Experience with GCP BQ, SQL, data flow. - 4+ years of relevant experience. - Data warehouses, Data marts, distributed data platforms, and data lakes. - Data Modeling, Schema design. - Reporting/Visualization Looker, Tableau, Power BI. - Knowledge of Statistical and machine learning models. - Excellent structured thinking skills, with the ability to break down multi-dimensional problems. - Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders. - We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. Our Benefits: Who We Are: To learn more about our culture and community, visit https://about.pypl.com/who-we-are/default.aspx Commitment to Diversity and Inclusion Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply. REQ ID R0115599,

You will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into productionMonitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysisConduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitabilityDevelop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs QualificationsFluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasetsExperience analyzing, visualizing and communicating impactful insights to management, investors and/or auditors Strong strategic thinking and problem-solving skills2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Job DescriptionYou will help solve analytical problems across the organization and propose product and credit policy changes to improve company profitability. Specifically, you will monitor the portfolio, create a user valuations model, and propose new product and pricing strategies. Responsibilities Build and maintain a user level valuations model to inform future product and marketing decisions and analyze drivers of profitabilityMonitor and update credit policy to optimize for company risk, profitability, and growth targetsPropose data driven product changes to improve customer experience and company profitability. Partner with product and engineering teams to implement your solution into production Monitor the company portfolio to identify trends, and lead weekly credit committee meeting to share performance updates and analysis Conduct ad-hoc analysis to identify underlying explanations for changes in portfolio performance, develop data-driven solutions, and evaluate expected portfolio impacts Collaborate with data science, product, and engineering to propose hypothesis testing to improve risk and profitability Develop statistical models to assist in pricing and user segmentation for capital markets transactions and financial data analysis Support the marketing and product team with their data needs Qualifications Fluency in SQL and R/Python Previous experience in analytics and/or quantitative modeling, using large datasets Experience analyzing, visualizing and communicating impactful insights to management, investors and/or auditorsStrong strategic thinking and problem-solving skills 2-4 years relevant experience in Credit Analytics, preferably in the India Fintech industryEnthusiasm for working across cultures, functions and time zones

Job Description Job Profile Risk analyst JO Description and Responsibilities . Use analytical tools and techniques to develop predictive models, perform customer segmentation, and provide analytical support to the bank's businesses . Conduct in-depth data analysis to answer complex business questions, across Risk, Credit and Liabilities domain, delivering actionable insights for decision-making . Develop and implement statistical models to predict risks and support decision-making. . Work on developing and deploying machine learning models, python models to extract valuable insights, predict trends, and enable intelligent automation across various business functions. . Work as per requirements of business leaders to understand their data and AI needs and align analytics initiatives . Person will also collaborate with cross-functional stakeholders to unlock the full potential of data across the organization. . Skills and qualifications . Strong analytical and statistical skills, including experience with modeling and predictive analytics. . Experience in building of scorecards, analytical models in BFSI sector will be necessary . Experience in analytical models for Liability products will be beneficial . Familiarity with the financial services industry . Proficiency in Python for driving Data insights, Data Automation, Data Cleanin Check Your Resume for Match Upload your resume and our tool will compare it to the requirements for this job like recruiters do.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Proof of Concept (POC) Development: Develop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another Document solution architectures, design decisions, implementation details, and lessons learned. Stay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Preferred technical and professional experience Experience and working knowledge in COBOL & JAVA would be preferred Having experience in Code generation, code matching & code translation leveraging LLM capabilities would be a Big plus Demonstrate a growth mindset to understand clients business processes and challenges

Introduction In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Data Engineer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise 4+ years of experience in data modelling, data architecture. Proficiency in data modelling tools Erwin, IBM Infosphere Data Architect and database management systems Familiarity with different data models like relational, dimensional and NoSQL databases. Understanding of business processes and how data supports business decision making. Strong understanding of database design principles, data warehousing concepts, and data governance practices Preferred technical and professional experience Excellent analytical and problem-solving skills with a keen attention to detail. Ability to work collaboratively in a team environment and manage multiple projects simultaneously. Knowledge of programming languages such as SQL

Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications. As a member of the software engineering division, you will perform high-level design based on provided external specifications. Specify, design and implement minor changes to existing software architecture. Build highly complex improvements and resolve complex bugs. Build and execute unit tests and unit plans. Review integration and regression test plans created by QA. Connect with QA and porting engineering as vital to discuss minor changes to product functionality and to ensure quality and consistency across specific products. Duties and tasks are varied and complex needing independent judgment. Fully proficient in own area of expertise. May have project lead role and or supervise lower level personnel. BS or MS degree or equivalent experience relevant to functional area. 10 years of software engineering or related experience. Career Level - IC4 Organizations in all industries are under growing pressure to deliver high quality products to market faster and within budget. With products becoming more complex and project teams and suppliers spanning the globe, organizations must introduce mechanisms to efficiently and securely access, view and share information and project documents. The Oracle Applications team is looking for a Principal Developer to deliver software solutions that involve 2D/3D graphics, CAD, and the latest development technologies. The role calls for a technical, passionate, result oriented candidate, with strong leadership skills, and fresh ideas who want to take on new challenges and develop solutions for thousands of customers across many industries including Architecture, Engineering, and Construction, Automotive, Aerospace and Defense, and Electronics. In this role you will need to: . Analyze software requirements based on specifications, collaboration with peers, and background knowledge . Maintain and extend existing software. . Develop, debug, and troubleshoot new components . Lead the preparation and review of Design Documents . Take initiative in identifying, analyzing, and solving problems . Mentor and train peers and other software development staff in areas of domain expertise . Design test plans and scripts. Verify that implementations conform to requirements and standards. . Assist in technical documentation preparation. The ideal candidate will have the following: BS degree or higher in Computer Science, Engineering, Math or Physics. 10+ years proven experience in crafting and building modern enterprise/large-scale applications. 6+ years experience in C/C++, and build systems on both LINUX and WINDOWS 6+ years proven experience in Object oriented design. Experience with Scrum and Agile methodology. Knowledge of 3D/2D Graphics and CAD systems is a plus Knowledge of cad file format structure is a plus. Experience developing mathematical and statistical models to analyze data is a plus.

Job Title: Senior Manager Business Analytics Location: Hybrid, India Company: Miko About Miko: Miko is an advanced consumer robotics company dedicated to transforming the way young learners engage with technology. Our AI-powered robots use playful, conversational learning to educate, entertain, and inspire kids aged 5 and above. With a presence in 140+ countries, including the US, UK, UAE, and India, Miko is shaping the future of interactive learning. To know more about Miko, log onto our website Role Overview: We are looking for a Senior Manager Business Analyst to drive data-driven decision-making across business and product functions. The ideal candidate will be responsible for defining key business metrics, developing reporting frameworks, identifying process inefficiencies, and providing strategic recommendations based on complex data analysis. This role demands strong analytical expertise, business acumen, and a problem-solving mindset to translate raw data into actionable insights that influence company strategy. Key Responsibilities: 1. Data Modeling & Dashboard Development Design and implement data models, reporting infrastructure, and dashboards to support business decision-making. Develop automated reports and visualizations using Power BI, Tableau, or Google Data Studio. Conduct deep-dive analysis on business performance, trends, and key drivers. 2. Business Process Optimization & Decision Support Identify inefficiencies in business processes and drive the adoption of data-driven solutions. Partner with product and business teams to provide insights that optimize operational performance and enhance user experience. Influence new business opportunities and strategies based on internal and external data analysis. 3. Advanced Analytics & Problem-Solving Execute quantitative analysis to identify trends, anomalies, and growth opportunities. Develop statistical models and predictive analytics to improve forecasting and strategic planning. Provide actionable insights that drive user engagement, revenue growth, and operational efficiency. 4. Stakeholder Collaboration & Data-Driven Culture Work closely with cross-functional teams to enable a data-driven approach in decision- making. Present analytical findings to senior leadership, translating complex data into clear business recommendations. Establish best practices for data accuracy, collection, and governance. What You Bring: Required Qualifications & Skills: 5+ years of experience in business analytics, data science, or a similar analytical role. Bachelors degree in Engineering, Computer Science, Mathematics, Statistics, or a related discipline. Expertise in SQL, Excel (Pivot tables, VLOOKUP, HLOOKUP, graphs), and data visualization tools (Power BI, Tableau, QlikView, Google Data Studio, etc.). Strong knowledge of analytics platforms like Mixpanel, Google Analytics, and Clevertap. Experience handling large, multi-dimensional datasets and executing complex data analysis. Ability to synthesize data, identify patterns, and present insights in a compelling manner. Strong critical thinking, problem-solving, and business process optimization skills. Ability to multitask in a fast-paced environment and work on diverse business requirements. Preferred Qualifications: Understanding of statistical tools and machine learning techniques. Prior experience in a consumer tech, robotics, or AI-driven company.

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities As an Associate Software Developer at IBM you will harness the power of data to unveil captivating stories and intricate patterns. Youll contribute to data gathering, storage, and both batch and real-time processing. Collaborating closely with diverse teams, youll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Engineer, youll tackle obstacles related to database integration and untangle complex, unstructured data sets. In this role, your responsibilities may include: Implementing and validating predictive models as well as creating and maintain statistical models with a focus on big data, incorporating a variety of statistical and machine learning techniques Designing and implementing various enterprise search applications such as Elasticsearch and Splunk for client requirements Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviours. Build teams or writing programs to cleanse and integrate data in an efficient and reusable manner, developing predictive or prescriptive models, and evaluating modelling results Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Develop/Convert the database (Hadoop to GCP) of the specific objects (tables, views, procedures, functions, triggers, etc.) from one database to another database platform Implementation of a specific Data Replication mechanism (CDC, file data transfer, bulk data transfer, etc.). Expose data as API Participation in modernization roadmap journey Analyze discovery and analysis outcomes Lead discovery and analysis workshops/playbacks Identification of the applications dependencies, source, and target database incompatibilities. Analyze the non-functional requirements (security, HA, RTO/RPO, storage, compute, network, performance bench, etc.). Prepare the effort estimates, WBS, staffing plan, RACI, RAID etc. . Leads the team to adopt right tools for various migration and modernization method Preferred technical and professional experience You thrive on teamwork and have excellent verbal and written communication skills. Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions Ability to communicate results to technical and non-technical audiences

Overview Provide advanced analytics support for the EU Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for EU to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EU. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EU Business Service Service Center Support relationships with the key end-user stakeholders in EU and region offices Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Introduction In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. In this role, youll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities Work with broader team to build, analyze and improve the AI solutions. You will also work with our software developers in consuming different enterprise applications Required education Bachelors Degree Preferred education Masters Degree Required technical and professional expertise Resource should have 5-7 years of experience. Sound knowledge of Python and should know how to use the ML related services. Proficient in Python with focus on Data Analytics Packages. Strategy Analyse large, complex data sets and provide actionable insights to inform business decisions. Strategy Design and implementing data models that help in identifying patterns and trends. Collaboration Work with data engineers to optimize and maintain data pipelines. Perform quantitative analyses that translate data into actionable insights and provide analytical, data-driven decision-making. Identify and recommend process improvements to enhance the efficiency of the data platform. Develop and maintain data models, algorithms, and statistical models Preferred technical and professional experience Experience with conversation analytics. Experience with cloud technologies Experience with data exploration tools such as Tableu

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science

Analyzing data trends and building predictive models. We are seeking a highly motivated Junior Data Scientist to join our data team. The ideal candidate will be passionate about working with data, uncovering trends, and building predictive models to solve real-world business problems. You will work closely with senior data scientists and analysts to turn raw data into actionable insights. Key Responsibilities: Analyze large datasets to identify trends, patterns, and anomalies. Assist in building, testing, and deploying predictive and statistical models. Collaborate with cross-functional teams to define data requirements and business goals. Perform data cleaning, transformation, and feature engineering tasks. Use data visualization tools to communicate findings effectively. Support ongoing data science projects and contribute to model improvements. Education - B.Tech CS, Data Science