19 Datasets Jobs

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Consumer and community banking technology team , you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Develop and maintain applications using Apache Spark and Java Work with different aspects of spark echo system including Datasets, Spark SQL and Scalability support Work with business analysts and lead engineers to understand requirements and designs for implementing software solutions Work on performance improvement activities to support spark applications to process millions of data elements everyday Provide Production support and troubleshooting activities to uncover the issues in the spark applications Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years applied experience Work experience on Data Engineering domain Hands-on practical experience in system design (simple), application development, testing, and operational stability Proficient in coding in one or more languages including Java Experience in developing, debugging, and maintaining code in a corporate environment with Java, Spark Framework and Database querying languages (any SQL usage experience), aws managed services like step functions, glue etl, athena, glue crawlers Overall knowledge of the Software Development Life Cycle Experience working in an Agile Software Development Environment Preferred qualifications, capabilities, and skills Exposure to cloud technologies such as AWS, Kubernetes and Kafka

Experience Must have minimum 5+years of experience in Clinical Programming Experience in listings programming & creating Macros Study build and SAS Mapping experience is preferable Data Acquisition – Experience in CDSIC Data Mapping, External/Vendor Data Mapping and DIA is preferable. Good Communication skills Preferred Base and Advanced SAS certification (Not Mandatory) Exp on any Therapeutic areas is okay

Key Responsibilities: Performs analytics and supports delivery of consulting projects for customers, ensuring adherence to timelines and quality objectives in the following areas: - Go to market strategy including Commercial strategy design - Field Force sizing and structure (sales force, access, medical teams) - Optimal resource deployment, leveraging analytical tools & algorithms - Segmentation, Targeting and Call Plan design - Incentive scheme design and health check - Ad-hoc projects based on local business challenges identified through assessments and / or benchmarking Lead design of analytical models to help in executing projects related to field force strategy - the models would be built using appropriate tools and driven by domain knowledge to arrive at recommendations for the business Supports the team to summarize approach and outcomes on MS PowerPoint. Executes consulting analytics by developing methodologies, processes and SOPs relating to Sales Strategy and Capability services taking directions from consultants and/or Managers Ensures delivery of efficient and high-quality deliverables and shares best practices with team. Ensures exemplary communication with all stakeholders including internal associates, and clients through regular updates with focus on accomplishments, KPIs, best practices, staffing changes and key events Supports team operations by completing project documentation - completing post project activities, creating SOPs and checklists. Participates and contributes to various knowledge sharing sessions that enable growth and improve quality of deliverables across the function On-boards and trains new team members on technical and functional areas Essential Requirements: Graduate degree in an analytical field/ Life Sciences/ Pharmacy/ Medicine/ Science & Technology is minimum Fluency in English is prerequisite, while knowledge of other in-scope country languages would be an advantage Experience (3+ years) in commercial execution/ management consulting or pharmaceutical company Experience working with MS Excel, Access, PowerPoint Experience on data analytics tools such as SQL, VBA, Python, R, etc. Should have an understanding of pharmaceutical business including its regulatory environment Experience on datasets such as IQVIA Exponent, DDD, HCOS, APLD etc. is desirable Experience in working in a matrix and geographically dispersed environment Proven track record of delivery analytics and insights for field excellence and/or data enable solution

The mainframe production support role based in Chennai is a contract-to-hire opportunity with our client, a global leader in next-generation digital services and consulting. With a presence in over 50 countries, we specialize in guiding enterprises through their digital transformation journey. Leveraging our AI-powered core and agile digital solutions, we drive performance and customer satisfaction to new heights. Our commitment to continuous improvement is fueled by a culture of learning and innovation. As a Mainframe Production Support specialist, you should have a minimum of 7 years of experience in the field. Immediate joiners are preferred for this role. Your expertise in JCL, including various data passing methods and optimizations, will be crucial for success in this position. Additionally, you must possess strong knowledge of utilities, datasets, STEPLIB, JCLLIB, Instream PROC, Catalog PROC, COBOL, and DB2, including writing stored procedures and CICS programs. Your problem-solving skills, log analysis, and debugging abilities will be put to the test in this role. Familiarity with different codes such as SQL Code, Abend code, and deadlocks is essential. Experience with CI/CD tools like Jenkins, chef/puppet, and monitoring tools like Splunk or Dynatrace is a plus. Previous production support experience with ITSM knowledge is required. Effective communication skills and confidence are key attributes that will enable you to excel in this dynamic and challenging environment.,

As a Data Scientist, you will be a key contributor to the development and enhancement of AI-driven solutions. Your primary responsibilities will include developing machine learning algorithms, analyzing intricate datasets, and providing actionable insights to stakeholders. This role is tailored for individuals who thrive in a dynamic, collaborative team environment and are enthusiastic about tackling complex analytical challenges. You will take charge of designing, developing, and implementing advanced algorithms and machine learning models to address critical business analytical needs. This will involve refining and optimizing Machine Learning (ML) algorithms using extensive datasets. Your ability to convey data-driven outcomes in a clear and meaningful way to stakeholders will be crucial. Additionally, you will be tasked with writing efficient programs that integrate offline or online ML models with other modules. Collaboration with team members to create and deploy scalable AI-powered solutions will be a key aspect of your role. You will also be expected to identify opportunities for automation and process enhancement within existing workflows and develop solutions accordingly. Guiding and providing technical support to junior data scientists and analysts will be part of your responsibilities. Moreover, your proactive involvement in identifying AI and data science innovation opportunities to contribute to the product roadmap will be highly valued. To excel in this role, you should hold a B.Tech / MS / Ph.D. in Computer Science, Data Science, or a related field, along with 4-6 years of hands-on experience in data science, machine learning, or analytics. Proficiency in Python, particularly in libraries like pandas, NumPy, and scikit-learn, is essential. A solid understanding of Machine Learning techniques, algorithms, and best practices, as well as expertise in SQL, data structures, and query optimization, will be required. Experience with data visualization tools such as Power BI, Tableau, or Google Data Studio is preferred. Familiarity with generative AI concepts and their practical applications is considered a plus, especially if you have prior experience in advertising technology or programmatic media buying. In terms of personality and work ethic, you should be a strategic thinker capable of aligning technical solutions with business goals. Being proactive, self-driven, and adept at managing multiple priorities to deliver results within tight deadlines is essential. Strong communication skills are crucial, enabling you to effectively convey complex concepts to both technical and non-technical audiences. Your ability to mentor and develop junior team members, coupled with your dedication to delivering high-quality solutions, will be key to your success in this role.,

The role of a Business Analyst focuses on data, statistical analysis, and reporting to investigate and analyze business performance, provide insights, and drive recommendations to improve performance. As a Business Analyst, you will be responsible for driving business insights from data with a focus on business-level metrics. You will interact and convince business stakeholders, develop insightful analysis about business implications, and partner with stakeholders at all levels to establish data support and reporting needs. Additionally, you will analyze data from multiple angles to identify trends, design and deliver data reports, dashboards, and presentations, and drive data quality improvement projects. Key Skills Required: - Ideally, have 2-5 years of experience working on data analytics and business intelligence, preferably in b2c consumer internet product companies. - Proven work experience with MS Excel, Google Analytics, SQL, Data Studio, any BI Tool, business analyst, or similar role. - Comfortable working in a fast-changing environment and ambiguous situations. - Critical thinking and detail-oriented. - In-depth understanding of datasets, data, and business. - Capable of demonstrating good business judgment. Education: Applicants must have an engineering academic background with specialization in data science. Join us in our mission to bring half a billion Indians into the mainstream economy. Our success is driven by our collective energy, unwavering focus on customers, and our position as the largest merchant acquirer in India. Compensation: We believe in creating wealth for the right fit individuals. With over 500 million registered users, 21 million merchants, and a wealth of data in our ecosystem, we are uniquely positioned to democratize credit for deserving consumers and merchants. Be a part of India's largest digital lending story and seize the opportunity to contribute to our success!,

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

Job Description: We are looking for a Lead Generative AI Engineer with 35 years of experience to spearhead development of cutting-edge AI systems involving Large Language Models (LLMs) , Vision-Language Models (VLMs) , and Computer Vision (CV) . You will lead model development, fine-tuning, and optimization for text, image, and multi-modal use cases. This is a hands-on leadership role that requires a deep understanding of transformer architectures, generative model fine-tuning, prompt engineering, and deployment in production environments. Roles and Responsibilities: Lead the design, development, and fine-tuning of LLMs for tasks such as text generation, summarization, classification, Q&A, and dialogue systems. Develop and apply Vision-Language Models (VLMs) for tasks like image captioning, VQA, multi-modal retrieval, and grounding. Work on Computer Vision tasks including image generation, detection, segmentation, and manipulation using SOTA deep learning techniques. Leverage frameworks like Transformers, Diffusion Models, and CLIP to build and fine-tune multi-modal models. Fine-tune open-source LLMs and VLMs (e.g., LLaMA, Mistral, Gemma, Qwen, MiniGPT, Kosmos, etc.) using task-specific or domain-specific datasets. Design data pipelines , model training loops, and evaluation metrics for generative and multi-modal AI tasks. Optimize model performance for inference using techniques like quantization, LoRA, and efficient transformer variants. Collaborate cross-functionally with product, backend, and ML ops teams to ship models into production. Stay current with the latest research and incorporate emerging techniques into product pipelines. Requirements: Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. 35 years of hands-on experience in building, training, and deploying deep learning models, especially in LLM, VLM , and/or CV domains. Strong proficiency with Python , PyTorch (or TensorFlow), and libraries like Hugging Face Transformers, OpenCV, Datasets, LangChain, etc. Deep understanding of transformer architecture , self-attention mechanisms , tokenization , embedding , and diffusion models . Experience with LoRA , PEFT , RLHF , prompt tuning , and transfer learning techniques. Experience with multi-modal datasets and fine-tuning vision-language models (e.g., BLIP, Flamingo, MiniGPT, Kosmos, etc.). Familiarity with MLOps tools , containerization (Docker), and model deployment workflows (e.g., Triton Inference Server, TorchServe). Strong problem-solving, architectural thinking, and team mentorship skills. Show more Show less

You will be a part of our team as an MIS Executive, providing direct support to Mr. Rahul Jain, a distinguished leadership coach and business mentor. Your primary responsibility will be maintaining and updating MIS reports and dashboards regularly. You will need to work extensively on Google Sheets and Excel to manage real-time data, analyze large datasets, and offer valuable business insights. Automating reports, ensuring data accuracy, and timely report submissions will be crucial aspects of your role. Additionally, you will collaborate with cross-functional teams for data collection and validation, along with providing ad-hoc data and analytics support to the leadership. We are looking for candidates with 2 to 5 years of experience in MIS, Data Analysis, or Reporting roles, particularly those proficient in Google Sheets, Excel (including formulas, pivot tables, charts, macros), and report automation. A stable job history and commitment to long-term roles are highly valued, especially if you reside in or near Greater Kailash, Nehru Place, Lajpat Nagar, South Ex, or other South Delhi areas within a 30-40 minute commuting distance from our office. Previous experience working under senior professionals or coaches would be advantageous. Your key skills should include advanced proficiency in Google Sheets and Microsoft Excel, MIS Reporting, Data Analysis, Dashboard Design, Automation, Report Accuracy, Timeliness, Career Stability, Reliability, Time Management, Communication, and a basic understanding of Business Intelligence. By joining us, you will have the opportunity to work directly under the mentorship of Rahul Jain, receive competitive compensation up to 40,000 per month, gain leadership exposure, and be a part of a professional, fast-paced, and growth-focused environment. If you are passionate about data, dedicated to excellence, and eager to collaborate with a nationally renowned business mentor, we encourage you to apply now.,

Key Responsibilities: Responsibilities Anchor ML development track in a client project Data collection profiling EDA data preparation AI Model development experimentation tuning validation Present findings to business users project management teams Propose ML based solution approaches estimates for new use cases Contribute to AI based modules in Infosys solutions development Explore new advances in AI continuously and execute PoCs Mentoring Guide junior team members evangelize AI in organization Technical skills Programming Python R SQL ML algorithms o Statistical ML algorithms o Deep Neural Network architectures o Model ensembling o Generative AI models o ML for Responsible AI AI domains NLP speech computer vision structured data Learning patterns supervised unsupervised reinforcement learning Tools for data analysis auto ML model deployment scaling model fine tuning Knowledge of different Model fine tuning approaches for Large models Knowledge of datasets pre built models available in open community and 3rd party providers Knowledge of software development architectures Knowledge of hyperscalers their AI capabilities Azure AWS GCP Knowledge of Model Quantization and Pruning Preferred Skills: Technology->Machine learning->data science,Technology->Data Science->Machine Learning,Technology->Machine Learning->Accord,Technology->Machine Learning->Generative AI

Experience in applying machine learning techniques, Natural Language Processing or Computer Vision using TensorFlow, Pytorch Strong analytical and problem-solving skills Solid software engineering skills across multiple languages including but not limited to Java or Python, C/C++ Build and deploy end to end ML models and leverage metrics to support predictions, recommendations, search, and growth strategies Deep understanding of ML techniques such as: classification, clustering, deep learning, optimization methods, supervised and unsupervised techniques Proven ability to apply, debug, and develop machine learning models Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation, Choose suitable DL algorithms, software, hardware and suggest integration methods. Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery Coach and mentor our team as we build scalable machine learning solutions Strong communication skills and an easy-going attitude Oversee development and implementation of assigned programs and guide teammates Carry out testing procedures to ensure systems are running smoothly Ensure that systems satisfy quality standards and procedures Build and manage strong relationships with stakeholders and various teams internally and externally, Provide direction and structure to assigned projects activities, establishing clear, precise goals, objectives and timeframes, run Project Governance calls with senior Stakeholders Strategy As the Squad Lead of AI ML Delivery team, the candidate is expected to lead the squad Delivery for AIML. Business Understand the Business requirement and execute the ML solutioning and ensue the delivery commitments are delivered on time and schedule. Processes Design and Delivery of AI ML Use cases RAI, Security & Governance Model Validation & Improvements Stakeholder Management People & Talent Manage the team in terms of project assignments and deadlines Manage a team dedicated for reviewing models related unstructured and structured data. Hire, nurture talent as required. Risk Management Ownership of the delivery, highlighting various risks on a timely manner to the stakeholders. Identifying proper remediation plan for the risks with proper risk roadmap. Governance Awareness and understanding of the regulatory framework, in which the Group operates, and the regulatory requirements and expectations relevant to the role. Regulatory & Business Conduct Display exemplary conduct and live by the Group's Values and Code of Conduct. Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct. Lead to achieve the outcomes set out in the Bank's Conduct Principles Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters Key Stakeholders Business Stakeholders AIML Engineering Team AIML Product Team Product Enablement Team SCB Infrastructure Team Interfacing Program Team Qualification Masters with specialisation in Technology with certification in AI and ML 8- 12 years relevant of Hands-on Experience in developing and delivering AI solutions Role Specific Technical Competencies Use NLP, Vision and ML techniques to bring order to unstructured data Experience in extracting signal from noise in large unstructured datasets a plus Work within the Engineering Team to design, code, train, test, deploy and iterate on enterprise scale machine learning systems Work alongside an excellent, cross-functional team across Engineering, Product and Design create solutions and try various algorithms to solve the problem. Stakeholder Management

You have a great opportunity to join as a Mainframe Assembler + Java Developer at our Bangalore location with 7+ years of experience. As a Mainframe Assembler + Java Developer, you will be required to have hands-on Assembler experience. Your role will involve showcasing strong knowledge in Mainframe technologies, especially CICS and WebSphere MQ. You should have proven experience as a developer/system programmer, focusing on high performance and low latency applications in C/C++. Proficiency in multi-threading, concurrency, and asynchronous programming is crucial. Additionally, you must possess a solid understanding of data structures, algorithms, and object-oriented design principles. Moreover, you are expected to have knowledge of network protocols and distributed systems. Good communication skills are essential for collaborating and delivering in a globally distributed team. You should be able to create designs based on requirements, review them with stakeholders, and take ownership of the delivery end-to-end. Experience in Agile, Continuous delivery, and Test-driven development methodologies is highly valued. In addition to the mandatory skills, having experience with JCL and datasets, knowledge of API exits (CICS and MQ), and programming experience with Assembler are considered as secondary skills. You should be able to quickly isolate problem areas, troubleshoot systematically, and be a team player who can adapt to tools, technologies, processes, and people efficiently within a high-performance team. If you meet the above requirements and are eager to excel in this role, we encourage you to send your resumes to mounika-d@hcl.software.,

Role: Salesforce CRM Analytics Location: Pune only Experience: 5-7 years 5 days work from office. Domain Manufacturing & Automotive preferred. 1. Design and develop Salesforce CRM Analytics datasets, lenses, dashboards, and stories to provide actionable insights and drive data-driven decision-making. 2. Configure and customize Salesforce CRM Analytics applications to meet specific business requirements, leveraging features such as SAQL (Salesforce Analytics Query Language), dataflows, and recipes. 3. Integrate Salesforce CRM Analytics with external data sources, including Salesforce CRM data, ERP systems, and other third-party applications. Please share your CV to ranjitha@promantusinc.com Regards, Ranjitha 7619598141

As a Data Scientist (Generative AI) Lead with 4-6 years of experience based in Nagpur, you will play a crucial role in transforming raw data into valuable insights and cutting-edge AI products. Your responsibilities will encompass the entire project lifecycle, from defining business questions and analyzing datasets to deploying and monitoring models on the cloud. Additionally, you will spearhead generative-AI projects like chat assistants and retrieval-augmented search, manage a team of data professionals, and collaborate closely with product, engineering, and business teams to deliver tangible value. Your main responsibilities will include designing and implementing predictive and forecasting models that drive business impact, conducting A/B experiments to validate ideas and inform product decisions, establishing and maintaining data pipelines to ensure data integrity and timeliness, leading generative-AI initiatives such as LLM-powered chat and RAG search, as well as deploying and monitoring models using contemporary MLOps practices in the public cloud. You will also be in charge of setting up monitoring and alerting systems for accuracy, latency, drift, and cost, mentoring your team, translating complex insights into actionable narratives for non-technical stakeholders, ensuring data governance and privacy compliance, and staying abreast of new tools and methodologies to keep solutions at the cutting edge. To excel in this role, you should have a strong foundation in statistics, experiment design, and end-to-end ML workflows, proficiency in Python and SQL with a track record of transitioning models from notebooks to production, hands-on experience with cloud platforms like AWS, Azure, or GCP including container-based deployment and CI/CD pipelines, and practical exposure to generative-AI projects involving prompt engineering, fine-tuning, and retrieval-augmented pipelines. If you are passionate about leveraging data science to drive innovation, possess strong technical skills, and enjoy collaborating with cross-functional teams to deliver impactful solutions, this role offers an exciting opportunity to lead transformative AI projects and make a significant contribution to the organization's success.,

Job Description: We are looking for a skilled PySpark Developer having 4-5 or 2-3 years of experience to join our team. As a PySpark Developer, you will be responsible for developing and maintaining data processing pipelines using PySpark, Apache Spark's Python API. You will work closely with data engineers, data scientists, and other stakeholders to design and implement scalable and efficient data processing solutions. Bachelor's or Master's degree in Computer Science, Data Science, or a related field is required. The ideal candidate should have strong expertise in the Big Data ecosystem including Spark, Hive, Sqoop, HDFS, Map Reduce, Oozie, Yarn, HBase, Nifi. The candidate should be below 35 years of age and have experience in designing, developing, and maintaining PySpark data processing pipelines to process large volumes of structured and unstructured data. Additionally, the candidate should collaborate with data engineers and data scientists to understand data requirements and design efficient data models and transformations. Optimizing and tuning PySpark jobs for performance, scalability, and reliability is a key responsibility. Implementing data quality checks, error handling, and monitoring mechanisms to ensure data accuracy and pipeline robustness is crucial. The candidate should also develop and maintain documentation for PySpark code, data pipelines, and data workflows. Experience in developing production-ready Spark applications using Spark RDD APIs, Data frames, Datasets, Spark SQL, and Spark Streaming is required. Strong experience of HIVE Bucketing and Partitioning, as well as writing complex hive queries using analytical functions, is essential. Knowledge in writing custom UDFs in Hive to support custom business requirements is a plus. If you meet the above qualifications and are interested in this position, please email your resume, mentioning the position applied for in the subject column at: careers@cdslindia.com.,

You are an experienced Medical AI Analyst with 2-6 years of experience, adept at working with CT scans on AI platforms. Your role involves data labeling, meticulous observation, and attention to detail when utilizing AI tools for tasks, especially focusing on biomarkers. Analyzing radiology images, tracing, tracking, and marking essential scan details are crucial aspects of your responsibilities. You are responsible for delivering accurate outputs to clients, demonstrating proficiency in presenting CT scans of patients with asthma and lung cancer, and providing biomarker solutions. Your expertise includes precise data collection through navigation and tracking processes using AI-powered software, ensuring quality and efficiency. Coding reports in electronic data forms within Salesforce is within your skill set. Understanding medical images and datasets while aligning with project guidelines is vital for successful project completion. You will be working at iMerit, a leading global provider of data services for Artificial Intelligence in Healthcare. The company's Medical Division collaborates with prominent pharmaceutical companies, medical device manufacturers, and hospital networks to facilitate advancements in Machine Learning. iMerit has a proven track record of supporting cutting-edge technologies like digital radiology, digital pathology, clinical decision support, and autonomous robotic surgery. Recognized as a Great Place to Work for three consecutive years, iMerit fosters an inclusive work culture that promotes professional growth and goal achievement. Emphasizing gender equality, over 50% of the company comprises Women in Tech who actively contribute to innovative AI technologies across various industries. Joining iMerit means becoming part of a dynamic team in a fast-growing technology company, driving advancements in data enrichment, annotation, and labeling for AI and Machine Learning. As a full-time employee, you can benefit from health insurance, leave encashment, paid sick time, Provident Fund, and work-from-home opportunities. Operating on a fixed shift schedule, you will thrive in a collaborative environment focused on technological innovation and career development. For further details and to explore career opportunities, please visit www.imerit.net. (Note: The job type is Full-time, and the application question pertains to the applicant's Highest Qualification. The work location is in person.),

We are looking for a passionate and detail-oriented Business Analyst Analytics to join our dynamic product team. In this role, you will leverage data to influence key product decisions and enhance user experiences. You will collaborate with cross-functional teams including product managers, designers, and engineers to drive optimization and growth through data insights. Key Responsibilities: Analyze user behavior, conversion funnels, and site performance to identify optimization opportunities. Conduct A/B tests and experiments to validate product and UX decisions. Track and report key product KPIs and provide actionable insights. Utilize Google Analytics and Google Tag Manager to monitor and interpret user behavior. Develop dashboards and visual reports using SQL, Python/R, Tableau, Power BI, or Looker. Collaborate closely with product and engineering teams to enhance product features and user experience. Communicate data findings effectively to both technical and non-technical stakeholders. Work with data teams to ensure data integrity and reliability. Desired Qualifications: Bachelor’s degree in a related field; Master’s degree is a plus. 2–4 years of hands-on experience as a Business Analyst or Data Analyst. Proficiency in SQL and Excel. Experience with Google Analytics, GTM, and other tracking/analytics tools. Familiarity with A/B testing and statistical methods. Strong verbal and written communication skills. Working knowledge of data infrastructure and database systems is a plus. Experience in SaaS or E-commerce domain will be an added advantage. Perks of Joining Silvermine: Innovative Work: Build impactful products for the US E-commerce and SaaS market. Career Growth: Opportunity to learn and grow in a dynamic, fast-paced environment. Collaborative Culture: Work in a team-oriented, mentorship-driven environment. Hybrid Work Model: Flexible work-life balance with part-remote options. Comprehensive Benefits: Health insurance, retirement benefits, and more. Recognition & Rewards: Annual bonuses and spot awards for outstanding performance.

Hi, Wishes. Pleasure connecting with you. Job Summary: We are hiring mid-level Statistical Programmers (4 - 8 years of experience) with strong hands-on expertise in SAS programming for clinical trials. The role requires experience in SDTM and ADaM dataset creation, TLF programming, and knowledge of CDISC standards. You will be working on end-to-end programming activities for Phase IIV clinical studies. Mode of Work : WFO Exp Range : 4 to 8 yrs Work Location : CHENNAI CTC Range : Best in the industry ***** Looking for SHORT JOINERs ***** Key Responsibilities: SDTM Programming: Create and validate SDTM datasets as per CDISC guidelines. Perform CRF annotation and author/review specifications . Generate Define.xml and ensure compliance using Pinnacle 21 . Work on Study Data Reviewers Guide (SDRG) and submission packages. ADaM Programming: Develop ADaM datasets for Safety and Efficacy analysis. Write and validate ADaM specifications and ensure alignment with SAP. Prepare ADaM Define.xml and reviewer documentation. TLF Programming: Generate and QC Tables, Listings, and Figures (TLFs) as per SAP. Use SAS Graph and macros to build clinical outputs. General Programming & Project Work: Independently write or modify SAS programs from scratch or using templates. Develop or enhance custom macros to streamline programming tasks. Work in both production and validation programming roles. Handle multiple studies simultaneously , ensuring high-quality deliverables. Participate in integration and pooling (ISS/ISE) of datasets. Work on CRT packages and electronic submission readiness. Required Skills: Strong knowledge of SAS Base, SAS/STAT, SAS/GRAPH in a clinical trial setting. Solid understanding of CDISC SDTM and ADaM standards . Experience with Define.xml creation and validation tools like Pinnacle 21 . Hands-on exposure to multiple therapeutic areas and clinical phases . Experience in ISS/ISE and integrated datasets is a strong plus. Nice to Have: Familiarity with tools such as Define.xml Generator, SAS Clinical Standards Toolkit . Knowledge or EXP in R Programming is OPTIONAL Exposure to MACRO programming and reusable code frameworks . Understanding of regulatory requirements for FDA/EMA submissions . What We Offer: Projects with top global pharma clients. Work with a high-performing and collaborative clinical data team. Competitive compensation, learning, and growth opportunities. If Interested, click APPLY ONLINE for IMMEDIATE response. Best, ANANTH | GSN HR | 9840035825 | Google review : https://g.co/kgs/UAsF9W

Key Responsibilities: Manage and process large datasets to support business functions Create and maintain reports using MS Excel Ensure accuracy and timeliness in reporting and data handling Utilize AI tools such as ChatGPT and others to improve workflows, draft content, or analyze data Take ownership of tasks and drive them to completion with minimal supervision Key Requirements: Bachelors degree in computer applications (BCA) or Engineering (BTech) Proficiency in Microsoft Excel (functions, pivot tables, charts, etc.) Working knowledge of AI tools like ChatGPT and ability to adapt to new platforms Strong analytical and problem-solving abilities Comfortable working with large data sets Self-driven with a strong sense of ownership and accountability Good communication skills and a collaborative attitude Good to have Knowledge of Selenium Automation