1830 Data Mining Jobs - Page 30

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : MySQL Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure project milestones are met, facilitating discussions to address challenges, and guiding your team through the development process. You will also engage in strategic planning sessions to align project goals with organizational objectives, ensuring that the applications developed meet both user needs and technical specifications. Your role will be pivotal in fostering a collaborative environment that encourages innovation and problem-solving among team members. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate knowledge sharing sessions to enhance team capabilities.- Monitor project progress and implement necessary adjustments to meet deadlines. Professional & Technical Skills: - Must To Have Skills: Proficiency in MySQL.- Strong understanding of database design and optimization techniques.- Experience with data modeling and schema design.- Familiarity with performance tuning and query optimization.- Ability to troubleshoot and resolve database-related issues. Additional Information:- The candidate should have minimum 5 years of experience in MySQL.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Job Title - Data Science Consultant S&C GN Management Level : Consultant Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Consultant to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:4+ years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 4-8 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title - Data Science Analyst S&C GN Management Level : Analyst Location: Bangalore / Gurugram / Mumbai / Hyderabad / Chennai Must have skills: Gen AI / ML, SQL, Python, Azure / AWS, ML Ops Good to have skills: Experience in data science projects focused on Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Job Summary : We are seeking a highly skilled and motivated Data Science Analyst to work on innovative projects and drive impactful solutions in domains such as Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product . This role requires hands-on technical expertise , and client delivery management skills to execute cutting-edge projects in Generative AI, data science, and cloud-based analytics. Key Responsibilities . 1.Data Science and Engineering Perform advanced analytics using Python, SQL, Pyspark using machine learning frameworks. Develop predictive models, recommendation systems, and optimization solutions tailored to business needs. Manage and preprocess large, complex datasets, ensuring efficient pipelines and advanced feature engineering across structured and unstructured data. Build MLOps pipelines for model training / retraining, monitoring, and scalability 2.Dashboard and Reporting Develop dashboards, reports, and insights to track the impact of deployed models on business outcomes in PowerBI/Tableau. Present results and recommendations to stakeholders, leveraging data storytelling to drive decision-making. 3.Cloud Platform Expertise Design and implement end-to-end data science workflows on cloud platforms (e.g., AWS, Azure, GCP) for business-critical projects. Leverage cloud-native tools and services (e.g., Databricks, ADF, Lambda, Glue, AzureML) for training, deploying, and monitoring machine learning models at scale. 4.Generative AI Expertise Lead the development of Generative AI based application and solutions leveraging frameworks like LangChain, LlamaIndex Drive model evaluation strategies using advanced metrics (e.g., BLEU, ROUGE, FID) and iteratively optimize performance for production-grade applications. Architect deployment solutions, including API development and seamless integration with existing systems. Required Qualifications Experience:1-5 years in data science Education:Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field. Industry Knowledge:Preferred experience in Utilities, Oil & Gas, Mining, Manufacturing, Chemicals and Forest Product Technical Skills Programming:Proficiency in Python, SQL and Pyspark. GenAI Expertise: Hands-on experience in building GenAI based applications and solutions Experience in deploying GenAI application in production. Cloud Platforms:Experience with Azure / AWS / GCP Visualization Tools:PowerBI / Tableau Preferred Skills Strong analytical and problem-solving skills with a results-oriented mindset. Good communication and stakeholder management capabilities. Very good in generating business insights and presenting to stakeholders. About Our Company | Accenture Qualification Experience: 1-5 years in data science Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Snowflake Data Warehouse Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models, while also engaging in discussions to refine and enhance the overall data architecture. You will be involved in various stages of the data platform lifecycle, ensuring that all components work harmoniously to support the organization's data needs and objectives. Roles & Responsibilities:a 9+ of experience in Database & Data warehousing with at least 4+ years on Snowflakeb Played a key role in data related discussions with teams and clients to understand business problems and solutioning requirementsc Liaise with clients on business/ technology/ data transformation programs; orchestrate the implementation of planned initiatives and realization of business outcomes d Spearhead team to translate business goals/ challenges into practical data transformation and technology roadmaps and data architecture designs e Strong experience in designing, architecting and managing(admin) Snowflake solutions and deploying data analytics solutions in Snowflake.Technical Expertisea Strong Experience working as a Snowflake on Cloud Data Architect with thorough knowledge of different servicesb Ability to architect solutions from OnPrem to cloud and create end to end data pipelinesc good process knowledge in one or more of the following areas:Finance, Healthcare, Customer Experienced Experience in working on Client Proposals (RFP's), Estimation, POCs, POVs on new Snowflake featurese Ability to suggest innovative solutions based on new technologies and latest trendsf SnowPro core certificationg Certified in any one cloudh Develop fine-tune, and integrate LLM models (OpenAI, Anthropic, Mistral, etc.) into enterprise workflows via Cortex AI.i Deploy AI Agents capable of reasoning, tool use, chaining, and task orchestration for knowledge retrieval and decision support.j Guide the creation and management of GenAI assets like prompts, embeddings, semantic indexes, agents, and custom bots.k Collaborate with data engineers, ML engineers, and leadership team to translate business use cases into GenAI-driven solutions.l Provide mentorship and technical leadership to a small team of engineers working on GenAI initiatives.M stay current with advancements in Snowflake, LLMs, and generative AI frameworks to continuously enhance solution capabilities.N Should have good understanding of SQL, Python. Also, the architectural concepts of Snowflake should be clear. Educational Qualification:a MBA Technology/Data related specializations/ MCA/ Advanced Degrees in STEM Qualification 15 years full time education

GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Qualifications: BE, B. Tech, M. S. or Ph. D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering / classification / decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Senior Associate within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e.g., Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

Senior Executive- Strategy and Reporting Customer Operations Associate Analyst 1 About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000+ talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview The Senior Executive - Strategy & Reporting (Customer Experience) is responsible for analyzing customer data, developing strategic initiatives, and generating reports to enhance customer satisfaction and engagement. This role plays a key part in shaping customer experience (CX) strategies by providing insights, tracking key performance indicators (KPIs), and supporting leadership in decision-making. The ideal candidate should have strong analytical skills, a data-driven mindset, and the ability to translate customer insights into actionable recommendations. Key Responsibilities & Skills Required Lead end-to-end data analysis to derive actionable insights on player behavior, product feature performance. Regularly analyze and interpret data to identify "5 Whys" root causes for key trends, contributing significantly to strategic business initiatives and evaluating their impact on product success and user experience. Ensure on time delivery of assigned reporting and analytics. Communicate complex data in comprehensible ways Respond to ad hoc requests from the stakeholders relating to the various deliverables Proactively identify opportunities for process improvement, operational efficiencies, and value addition through data-driven insights. Collaborate with internal teams to resolve data input or system issues, ensuring data quality and reliable analytical outputs. Identify new data sources and methods to improve data collection, analysis, and reporting Take ownership of analytical and modeling projects from conceptualization through to delivery, ensuring robust methodology and actionable outcomes. Qualifications and Skills required Graduate /MBA 2-4 years of product /e-commerce/Gaming industry experience in the data space. Demonstrated experience in consumer modeling and analyzing data to evaluate product effectiveness and inform strategic decisions. Knowledge of data profiling and proven experience in data mining, collation, and dashboard creation Strong, professional written and verbal communication skills with the ability to work with all levels within the business; confident in one s ability to anticipate what is needed Basic knowledge of SQL, Python for analytics. Ability to own analysis and project end-to end Experience in technical requirements gathering and the ability to document technical requirements is a strong plus. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www. jungleegames. com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far Be A Junglee

Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e. g. , Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc. Were seeking top talents for our AI engineering team to develop high-quality machine learning models, services, and scalable data processing pipelines. Candidates should have a strong computer science background and be ready to handle end-to-end projects, focusing on engineering. As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, collaborate with all lines of business and functions to deliver software solutions. Experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. Design and implement highly scalable and reliable data processing pipelines. Perform analysis and insights to promote and optimize business results. Contribute to a transformative journey and make a substantial impact on a wide range of customer products. Job Responsibilities Research, develop, and implement machine learning algorithms to solve complex problems related to personalized financial services in retail and digital banking domains. Work closely with cross-functional teams to translate business requirements into technical solutions and drive innovation in banking products and services. Collaborate with product managers, key business stakeholders, engineering, and platform partners to lead challenging projects that deliver cutting-edge machine learning-driven digital solutions. Conduct research to develop state-of-the-art machine learning algorithms and models tailored to financial applications in personalization and recommendation spaces. Design experiments, establish mathematical intuitions, implement algorithms, execute test cases, validate results, and productionize highly performant, scalable, trustworthy, and often explainable solutions. Collaborate with data engineers and product analysts to preprocess and analyze large datasets from multiple sources. Stay up-to-date with the latest publications in relevant Machine Learning domains and find applications for the same in your problem spaces for improved outcomes. Communicate findings and insights to stakeholders through presentations, reports, and visualizations. Work with regulatory and compliance teams to ensure that machine learning models adhere to standards and regulations. Mentor Junior Machine Learning associates in delivering successful projects and building successful careers in the firm. Participate and contribute back to firm-wide Machine Learning communities through patenting, publications, and speaking engagements. Required qualifications, capabilities and skills Expert in at least one of the following areas Natural Language Processing, Knowledge Graph, Computer Vision, Speech Recognition, Reinforcement Learning, Ranking and Recommendation, or Time Series Analysis. Deep knowledge in Data structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, Statistics. Demonstrated expertise in machine learning frameworks Tensorflow, Pytorch, pyG, Keras, MXNet, Scikit-Learn. Strong programming knowledge of python, spark; Strong grasp on vector operations using numpy, scipy; Strong grasp on distributed computation using Multithreading, Multi GPUs, Dask, Ray, Polars etc. Strong analytical and critical thinking skills for problem solving. Excellent written and oral communication along with demonstrated teamwork skills. Demonstrated ability to clearly communicate complex technical concepts to both technical and non-technical audiences Experience in working in interdisciplinary teams and collaborating with other researchers, engineers, and stakeholders. A strong desire to stay updated with the latest advancements in the field and continuously improve ones skills Preferred qualification, capabilities and skills Deep hands-on experience with real-world ML projects, either through academic research, internships, or industry roles. Experience with distributed data/feature engineering using popular cloud services like AWS EMR Experience with large scale training, validation and testing experiments. Experience with cloud Machine Learning services in AWS like Sagemaker. Experience with Container technology like Docker, ECS etc. Experience with Kubernetes based platform for Training or Inferencing. Contributions to open-source ML projects can be a plus. Participation in ML competitions (e. g. , Kaggle) and hackathons demonstrating practical skills and problem-solving abilities. Understanding of how ML can be applied to various domains like healthcare, finance, robotics, etc.

We are looking for a highly motivated and results-driven IT Sales & Marketing Executive to join our team. The ideal candidate will be responsible for generating leads, converting prospects into clients, and promoting our IT services, including website and mobile app development. Key Responsibilities Generate leads through online research, cold outreach, and networking platforms. Use tools like LinkedIn, Apollo, ZoomInfo, Hunter, and Snov.io for targeted data collection. Communicate with prospects via email, calls, and messages to explain services. Follow up with leads consistently to build relationships and move them through the sales funnel. Understand client requirements and propose suitable IT solutions (web/app development, SaaS, etc.). Convert qualified leads into long-term clients through presentations and negotiation. Conduct market and competitor research to identify new business opportunities. Prepare project proposals, quotations, and service packages as per client needs. Maintain lead and client records in CRM tools like HubSpot or Zoho. Submit weekly and monthly performance reports to management. Use productivity tools like Google Workspace, Trello, Notion, and automation for outreach. Achieve monthly sales targets and contribute to business growth.

Expert in advanced excel, power point. Capable of critically evaluating data Data Visualization Data Interpretation

We are seeking a proactive and results-driven Business Development Executive to join our team and drive software sales in the domestic market. The ideal candidate should have a strong background in business development within the service-based industry and be familiar with the market in Mumbai, Navi Mumbai, Thane and Pune. Roles and responsibilities : Conduct thorough research of accounts and identify potential decision-makers in the domestic market. Utilize CRM tools like Zoho for managing leads, prospects and sales activities. Perform data mining and prospecting to identify and target new business opportunities. Develop and execute effective business development strategies to drive sales of custom-made software solutions and temp staffing services. Set up and manage qualified meetings with key stakeholders to drive business growth. Achieve and exceed revenue-based monthly and annual targets. Understand and manage the end-to-end sales cycle involved in custom-made solutions, from initial contact to closing the deal. Understand the sales cycle of temp staffing, both onsite and offshore, and drive it effectively. Attend trade shows and industry events to promote the companys products and services, and generate leads. Travel as required for in-person meetings with customers and prospects. Skills and qualifications : 1 to 7 years of experience in business development or a similar role. Proven experience in the domestic market, particularly in Mumbai, Navi Mumbai, Thane and Pune. Proficiency in using CRM tools like Zoho. Ability to independently research accounts and decision-makers, and perform data mining. Strong follow-up skills and the ability to set up qualified meetings. Background in working with service-based companies is preferred. Familiarity with custom-made software sales and temp staffing services. Excellent communication and interpersonal skills. Ability to understand and manage the end-to-end sales cycle of custom-made solutions and temp staffing. Experience in attending trade shows and industry events to promote products and services.

We are seeking a seasoned LinkedIn Expert to lead our efforts in optimizing and managing our presence on LinkedIn. This role involves crafting strategies that drive engagement, build our professional brand, generate leads, and expand our network within the industry. The ideal candidate will have deep knowledge of LinkedIns platform and its tools, with a proven ability to create and implement highly effective LinkedIn strategies for personal or business growth. Key Responsibilities: LinkedIn Strategy Development: Design and execute comprehensive LinkedIn strategies aligned with business goals, focusing on brand awareness, lead generation, and audience engagement. Create tailored content strategies to boost visibility, engagement, and follower growth on LinkedIn. Profile Optimization: Optimize LinkedIn profiles for individuals and businesses to ensure they reflect a strong, professional brand. Utilize SEO techniques to increase profile visibility and search rankings on the platform. Content Creation Management: Develop and manage the content calendar for LinkedIn posts, articles, and updates. Write, curate, and share engaging, professional content to enhance company reputation and drive engagement. Monitor trends and conversations on LinkedIn to engage with relevant topics and industry discussions. LinkedIn Ads Campaigns: Design and implement LinkedIn Ads campaigns for lead generation, brand awareness, and product promotion. Monitor, analyze, and optimize ad performance to ensure maximum ROI. Networking Engagement: Build and nurture professional relationships with key industry influencers, partners, and clients through LinkedIn. Engage with the LinkedIn community by joining and contributing to relevant groups, commenting on posts, and participating in discussions. Analytics Reporting: Track and analyze key LinkedIn metrics, providing regular performance reports. Use insights to refine strategies and improve results over time. Training Consultation: Offer training sessions to internal teams on best practices for LinkedIn usage and engagement. Provide consultation to executives on how to improve their individual LinkedIn presence. Qualifications: Proven experience managing LinkedIn profiles for businesses or individuals with measurable success In-depth knowledge of LinkedIns algorithms, features, tools, and best practices. Experience with LinkedIn Ads and Sponsored Content campaigns. Strong writing and content creation skills, with the ability to produce professional and engaging posts. Proficient in using LinkedIn analytics tools and providing performance insights. Excellent communication and networking skills. Ability to stay updated on LinkedIn trends and changes in the platform. Preferred Skills: Knowledge of SEO and how it applies to LinkedIn profiles and content. Experience with B2B marketing strategies. Familiarity with other social media platforms and their integration with LinkedIn. Experience in training and guiding teams on social media best practices.

Overview MSCI ESG Data collection team is involved in acquisition of ESG data at scale and QA of the collected data and responsible for establishing and maintaining highest level of data quality and standards across all datasets feeding our ESG products. As an Data Collection Transformation Senior Associate, you will be responsible for leading and delivering on several initiatives as part of the ESG transformation agenda, to support rapidly evolving ESG landscape and its adoption in the financial market. Responsibilities As a member of MSCI Data Acquisition and Collection team, you are expected to have a strong interest in general Environment, Social, Governance, Climate and policy frameworks around these domains as well as regulatory trends Take active part in projects dealing with “electronification” of ESG & Climate frameworks and principles into data definitions which can be operationalized for collection Collaborate with Research teams on building data collection templates and with technology teams to translate these into implementable data models Do hands-on research with new data sets by studying company disclosures to help connect research proposals with implementable solution which are scalable Independently run analysis on data sets (either collected or from third party) to detect trends/patterns (EDA) and propose ways to build anomaly detection on new and existing content Analyze & research the historical data corrections across all ESG & Climate data and propose & implement contextual/thematic QA to detect cases that potentially may not be captured in current QA framework “Codify” data definitions with an intent to build NLP driven data extraction models (leveraging Traditional approaches/LLMs) to automate detection and extraction of “Facts” from company disclosures Help design and set-up new data collection processes and help with integration of these processes with ongoing data operations Deliver top quality data aligned with MSCI methodology, service level agreements, and regulatory requirements; Steer to improve methodology and SOP documents leveraging data and content expertise; Drive process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool that will enable quality assessment of data without manual intervention; Contribute to process improvements to ensure consistent data quality and efficiency, such as automation of data quality diagnostics by developing a new system/tool which will enable quality assessment of data without manual intervention; Work with internal stakeholders and downstream teams on understanding data requirement, data QC scope and data delivery; Create reports/dashboards which provide quantitative data assessment metrics which justify recommendations. Visualization, outlier detection/analysis, data summaries, etc. Sharing plans, recommendations, summaries with management through conference calls, meetings and presentations with internal/external teams, Research and product Qualifications Analytical skills and has strong attention to details - Should have keen interest in analyzing data, process flows and quality focused Exposure of using tools such as Python/SQL etc. - Demonstrated experience in improving process/Automation through applications of Python/ML/RPA Work exposure with any of the visualization tools such as PowerBI would be preferable. Should have very good hands on skills working with advanced excel features. Self-starter and self-motivated, should be solutions focused and have the ability to work in unstructured environments Comfortable working in a team environment across hierarchies, functions and geographies Should have experience of working in Financial/technology/Business Analysis domain Knowledge about equities or financial markets in general. Exposure to ESG data would be added advantage Desired Experience 7+ years of full-time professional experience in: Experience in data quality and automation related roles, Business analysis, analyzing existing process and reengineer to achieve efficiency and improved quality, Exposure of using tools such as Pandas/SQL, Power BI etc. would be preferable Financial services experience; good to have exposure to ESG What we offer you Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing. Flexible working arrangements, advanced technology, and collaborative workspaces. A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results. A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients. Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development. Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles. We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum. At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry. MSCI is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process. MSCI Inc. is an equal opportunity employer committed to diversifying its workforce. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries. To all recruitment agencies MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes. Note on recruitment scams We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com

Responsibilities Work closely with Stakeholders to understand the requirements and apply analytics and visualization to achieve business objectives Engineer end-to-end solutions including data acquisition, data modeling, table creation and building dashboards and reports. Design and develop Tableau reports and dashboards that will yield actionable insights that present the answers to business questions Code and modify SQL/ETL based on dashboard requirements Analyze unstructured / Semi structured data and derive insights Run ad-hoc analysis for Product and Business Managers using standard query languages and operationalize for repeatable use via Tableau reporting suite Ensure designs support corporate IT strategy, established technical standards, and industry best practices Provide technical guidance to project and is responsible for developing and presenting design artifacts within the business and Development teams Identify project issues/risks and present alternatives to alleviate or resolve Core Competencies Strong quantitative and analytical skills - ability to quickly analyze data to identify key insights and apply them to the business Strong visualization design and development experience with Tableau (and other Business Intelligence tools like PowerBI) Experience leading analysis, architecture, design and development of business intelligence solutions and using next generation data platforms Experience developing test strategies for data-centric applications, in Agile methodologies and in diagnosing complex technical issues Strong understanding of architectural standards and software development methodologies, expertise in industry best practices in data architecture and design Excellent communication skills, including ability to present effectively to both business and technical audiences at all levels of the organization Who You are? Qualifications Bachelor s degree in Engineering, Computer Science, or related field 6+ years of experience using business intelligence reporting tools, developing data visualizations and mastery of Tableau for the creation and automation of Enterprise Scale dashboards 6+ years of experience writing advanced SQL, performance tuning of BI queries, data modeling, and data mining from multiple sources (SQL, ETL, data warehousing) Experience performance tuning of Tableau Server dashboards to minimize rendering time Experience of data preparation/blending and ETL tools such as Alteryx or Talend or Tableau Prep Good knowledge on Tableau Metadata tables and Postgre SQL Server Reporting Experience in anyone programming languages like Python, R, etc would be a plus. Exposure to Snowflake or any Cloud data warehouse architecture would be an added advantage. Possess a strong foundation in data analytics, an understanding and exposure to data science Strong knowledge of data visualization and data warehouse best practices Certification in Tableau / Alteryx / Snowflake would be a plus

Want to join a team that protects and improves the buyer experience of millions Amazon customers and builds earths most customer-centric sellers daily using innovative technology including machine learning, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build Agentic AI solutions to automate the end to end workflows on control launches. As a Software Development Manager, you will work with your team of highly skilled software, data, and ML engineers to invent, design, build and manage highly scalable AI-empowered systems that provide availability, scalability and latency guarantees. You will work with your internal customers to balance customer requirements with team requirements and help your team and business evolve, by working with machine learning models and large data sets. You will be using the latest Agentic AI solutions, AWS and industry technologies to deliver a one-stop zero-touch control launch system for Amazon, keeping our customers safe and products compliant, building the software creating the world s most trustworthy data set on everything companies and customers need to know related to the safety and compliance of products and chains. Each and every person buying, selling, or handling Amazon products will be your customer. To succeed in this role, you will have a proven track record of shipping complex software solutions through an agile methodology. You will have the ability to dive deep into the understanding of problems in order to help your team make the right technical decisions for the product and the business. You will have a proven track record of developing the career of your direct reports and setting a high bar for performance. You will also be a strong communicator and will have proven abilities in managing through ambiguous situations. If you d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! Manage your group into a highly performing engineering organization. Define and drive your long term product strategy based on your relationships with key customers and technology partners. Architect and deliver Amazons next-generation risk identification and remediation technologies to help solve safety risk challenges at scale. 3+ years of engineering team management experience 7+ years of engineering experience 8+ years of leading the definition and development of multi tier web services experience Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations Experience partnering with product or program management teams Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers to improve their skills, and make them more effective, product software engineers

Job Title: Recruiter About Trellix: Trellix, the trusted CISO ally, is redefining the future of cybersecurity and soulful work. Our comprehensive, GenAI-powered platform helps organizations confronted by today s most advanced threats gain confidence in the protection and resilience of their operations. Along with an extensive partner ecosystem, we accelerate technology innovation through artificial intelligence, automation, and analytics to empower over 53,000 customers with responsibly architected security solutions. We also recognize the importance of closing the 4-million-person cybersecurity talent gap. We aim to create a home for anyone seeking a meaningful future in cybersecurity and look for candidates across industries to join us in soulful work. More at https://www.trellix.com/ . Role Overview: Every day our recruiters impact Skyhigh Security s capabilities by identifying, attracting, and hiring great people who contribute to the success of our company. You will support full life cycle recruitment for the APJ region. You will have the opportunity to work with the business to establish appropriate talent pipelines and recruitment project plans to meet the needs of the business. Along with this, you will develop recruitment campaigns and strategies to attract candidates from across their region. About the Role Engage regional executives and business unit leaders to develop and execute a comprehensive recruitment plan that targets and delivers quality talent on-time. Develop and execute a targeted sourcing plan that improves talent quality and leads to efficiency. Own full-cycle recruiting efforts for executive and key positions across multiple functions and geographies including engineering and sales. Execute recruitment efforts that achieve predictable metrics for time-to-accept (TTA), time-to-fill (TTF), pipeline and acceptance ratios. Lead a disciplined screening and selection process with hiring teams and Sourcers that improves the internal talent community. Develop and enhance relationships with executives, business unit leaders and hiring managers as the main point of contact for all talent acquisition needs, advice and guidance in the region. This includes best practices, data management, reporting, and talent-market forecasting while working closely with our HR COEs and HR Business Partners. Collaborate in the design and development of corporate recruiting programs and projects such as internship, apprentice and mentor programs and targeted recruitment campaigns. Coach hiring managers in the areas of candidate sourcing, professional networking, interview and selection techniques, candidate evaluation, and candidate close. You will set the standard in diversity and inclusion recruiting efforts by mapping talent markets and sharing this knowledge with your hiring teams. Deliver market data back to Skyhigh Security talent acquisition to create a strategic advantage in the talent marketplace. About You This position requires an accomplished recruiter who has a sense of urgency , thrives in a fast-paced, growth and learning environment, and has the desire and track-record of influencing business leaders. Additionally, the ideal candidate will have: 3 - 5 years overall recruitment experience with a minimum of 2-3 years full-cycle recruiting in a corporate environment, and preferably 1+ years working in a contingency or retained search firm environment. Requires deep technology experience within India and APJ regions. Growth company experience. Ability to coach hiring managers in the areas of talent availability and recruiting and sourcing strategies. Deep experience in full life-cycle recruitment for engineering, sales and/or support positions including senior leadership roles across multiple geographies. Knowledge of targeted sourcing strategies, expertise in data mining and tools such as LinkedIn and Naukri. Expertise in behavioral interview methodologies (Topgrading), competency models (Korn Ferry) and profile approaches (ICCE). Metrics driven approach to full life cycle recruitment. A quick learner and desire to grow professionally. Experience with Workday or other enterprise-class ATS s and Google tools. Company Benefits and Perks: We believe that the best solutions are developed by teams who embrace each others unique experiences, skills, and abilities. We work hard to create a dynamic workforce where we encourage everyone to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees. Retirement Plans Medical, Dental and Vision Coverage Paid Time Off Paid Parental Leave Support for Community Involvement Were serious ab out our commitment to a workplace where everyone can thrive and contribute to our industry-leading products and customer support, which is why we prohibit discrimination and harassment based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status.

Amazon.com s Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. BRP organization is looking for a Business Analyst for its In Region support team. The team is being grown to provide insights and support for BRP in our emerging marketplaces and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of BRP buyer abuse in each country. As a Business Analyst, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of business intelligence, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: Use analytics and data mining techniques to solve complex problems and drive business decisions. Employ the appropriate tools, methodologies to discover patterns of risks, abuse and help reduce bad debt Design experiments, test hypotheses, and build actionable models to optimize BRP in a specific country Solve analytical problems, and effectively communicate methodologies and results Build analyses for product launches Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area 1+ years of tax, finance or a related analytical field experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL 2+ years of experience in SQL and data visualization tools like power BI or tableau

Amazon India Security and Loss Prevention (INSLP) team is seeking highly skilled, motivated and passionate security professional who could partner in developing and implementing a world class security program for India operations network. Amazon is one of the most recognizable brand names and we fulfill millions of products each year to our loyal customers. We look forward to hire the brightest minds by offering them an environment in which they can relentlessly improve the shopping experience for our customers by creating innovative secure supply chain solutions. The primary objective of the Sr. Security & Loss Prevention Manager is to ensure the protection of people & assets of amazon sites in accordance with GSO guidelines and Policies. The role is a key member of the Amazon INSLP team and reports to Regional Loss Prevention Manager (RLPM). The role is cross-functional requiring deep collaboration and influencing ability with stakeholders from business and corporate functions. He/she assist RLPM in day to day activities such as investigations, risk assessments, data analysis, implementation of security policies, drive compliance amongst stakeholders and vendors. Contribute to reduce business losses on security incidents and related claims by identifying and understanding vulnerabilities, MO s, and implementation of the appropriate means and measures to protect transported assets in operational environment. Direct involvement in complex investigations at a high level. If required also act as the lead interface for wholesalers and third-party providers. Implement strategies and programs which prevent theft, diversion and losses from the supply chain in partnership with internal and external stakeholders. Perform risk assessment and frame mitigation measures. Drive physical security performance and compliance in AoR. Ensure optimum functioning of electronic surveillance devices in accordance with Global Security Operation (GSO) policies. Posses ability to work on various tools & perform trend analysis using data mining and analytical skills. Ability to conduct detailed investigation within the policy framework, identify root cause & document management action plan for process formulation/ compliance/ improvement Engage effectively in people experience and performance. Ability to respond & implement crisis management plan to support business continuity Implement key liaison contacts in industry, law enforcement, government and regulatory agencies to maintain awareness of and provide tactical response to upcoming legislation, industry trends, external risks and new technologies related to operations. Report incidents to GSOC as per agreed escalation matrix. Possess the ability to deliver under ambiguous and strenuous situations. Deliver on projects or continuous improvement initiatives using Agile or lean methodologies. Possess complete understanding of surveillance, access control systems, etc. A day in the life (i)Plan, organize, coordinate, implement or execute process or project. (ii)Take decisions in ambiguous/complex situations or crisis. Individual should be able to use expertise, logical thinking and judgment to determine next steps and keep right stakeholders informed. (iii)Write narratives, OP plans, strategic documents. (iv)Proficient in logically analyze data points, identify root cause, plan corrective actions or establish workflows (v)Managing a team of 6-10 people. People development, team development, performance management and coaching. Bachelor s Degree or 10+ equivalent professional or military experience 2+ years of people management experience 5+ years of experience in supply chain security, including management of third-party logistics providers, law enforcement, loss prevention, risk management or similar field 3+ years of experience with fraud identification and detection, investigation and analysis for root causing and providing suitable preventive mechanisms. Knowledge of latest technology, security equipment and e-security to manage losses proactively 1+ years of experience with MS Office Professional Suite, including Excel Experience in logistics, retail, supply chain and transportation security preferably also express and last mile experience. Familiarity with Lean Six Sigma concepts desired and certification Professional credentials in Loss Prevention, such as CFE, PCI, CPP, PSP, Reid, PEACE, Wicklander and Zulawski interview techniques. Experience with warehouse or distribution center services Awareness and implementation of best practices related to the utilization of physical security systems, investigation techniques, effective oversight of contract security officers, and distribution center loss mitigation techniques Strong familiarity with data bases (querying and analyzing) such as SQL, MYSQL, Access, Exception Based Reporting, etc. Results oriented leader with strong influencing skills Comfortable working in a fast-paced ambiguous environment Ability to prioritize and manage multiple responsibilities Analytical leader experienced in performance based, action and results oriented management, strong project manager and effective problem-solver.

Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap. 2) Translate complex or ambiguous business problem statements into analysis requirements and maintain high bar throughout the execution. 3) Define analytical approach; review and vet analytical approach with stakeholders. 4) Proactively and independently work with stakeholders to construct use cases and associated standardized outputs 5) Scale data processes and reports; write queries that clients can update themselves; lead work with data engineering for full-scale automation 6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis 7) Work with a variety of data sources and Pull data using efficient query development that requires less post processing (e.g., Window functions, virt usage) 8) When needed, pull data from multiple similar sources to triangulate on data fidelity 9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team 10) Provide program communications to stakeholders 11) Communicate roadblocks to stakeholders and propose solutions 12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams A day in the life 1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis through the use of additional tools 3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved 6) Communicate complex analytical insights and business implications effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 3+ years of tax, finance or a related analytical field experience 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of business or financial analysis experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with Excel Experience with SQL Experience making business recommendations and influencing stakeholders Experience in Statistical Analysis packages such as R, SAS and Matlab Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets

Want to join a team that protects and improves the buyer experience of millions Amazon customers and builds earths most customer-centric sellers daily using technology including machine learning, data mining and big data analytics, cloud computing services, and highly available/scalable distributed systems that support hundreds of millions of transactions across the globe? We have an exciting opportunity with the Regulatory Intelligence, Safety, and Compliance (RISC) engineering team, to architect and build build Agentic AI solutions to automate the end to end workflows on control launches. We are looking for a highly motivated, top notch Sr. Technical Program Manager with both business and technical acumen to drive this exciting initiative: helping to shape our roadmap, defining the platform that allows many teams to innovate quickly, and integrating these efforts into a coherent product. Our ideal candidate has great insight into our customers (and the analytic skills to develop these insights), the vision and creativity to find innovative ways to act on these insights, the technical chops to translate those ideas into innovative design, and interpersonal and project management skills to harness the passion and energy of teams across the company to turn their designs into products that will delight our customers. In this role, the Sr. Technical Program Manager will work closely with senior leaders, stakeholders, software engineers, Machine Learning scientists, and product teams across Amazon to deeply understand the buyer, seller, and vendor experiences, and drive large cross-org innovations results. If you d like to make a real-world difference by working hard, having fun, and making history, this is the team for you! 3+ years of software development experience 5+ years of technical program management working directly with software engineering teams experience Experience managing programs across cross functional teams, building processes and coordinating release schedules Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules Experience defining KPIs/SLAs used to drive multi-million dollar businesses and reporting to senior leadership Experience owning/driving roadmap strategy and definition

GDIA Mission and Scope- The Global Data Insights and Analytics (GDI&A) department at Ford Motor Company is looking for qualified people who can develop scalable solutions to complex real-world problems using Machine Learning, Big Data, Statistics, Econometrics, and Optimization. The goal of GDI&A is to drive evidence-based decision making by providing insights from data. Applications for GDI&A include, but are not limited to, Connected Vehicle, Smart Mobility, Advanced Operations, Manufacturing, Supply chain, Logistics, and Warranty Analytics. Potential candidates should have hands-on experience in applying first principles methods, machine learning, data mining, and text mining techniques to build analytics prototypes that work on massive datasets. Candidates should have experience in manipulating both structured and unstructured data in various formats, sizes, and storage-mechanisms. Candidates should have excellent problem-solving skills with an inquisitive mind to challenge existing practices. Candidates should have exposure to multiple programming languages and analytical tools and be flexible to using the requisite tools/languages for the problem at-hand. Qualifications: BE, B.Tech, M.S. or Ph.D. in Engineering, Computer Science, Operations research, Statistics, Applied mathematics, or in a related field 3+ years of experience in at least one of the following languages: Python, R, MATLAB, SAS 3+ years of hands-on experience in using machine learning/text mining tools and techniques such as Clustering / classification / decision trees, Random forests, Support vector machines, Deep Learning, Neural networks, Reinforcement learning, and other numerical algorithms Experience with GoogleCloud Platform (GCP) including VertexAI, BigQuery, DBT, NoSQL database Excellent problem solving, communication, and data presentation skills Key Roles and Responsibilities of Position: Build data-driven models to understand the characteristics of engineering systems Apply machine learning, data mining and text mining techniques to create scalable solutions for business problems Train, tune, validate, and monitor predictive models Analyze and extract relevant information from large amounts of historical business data especially related to quality, product development, and connected vehicles, both in structured and unstructured formats Establish scalable, efficient, automated processes for large scale data analyses Package and present the findings and communicate with large cross-functional teams

Prime Video seeks an enthusiastic finance professional to partner closely with finance and business groups to help the company manage its financial and operational plans for the video businesses. This is an exciting opportunity for an entrepreneurial minded candidate who wants to work in a start-up like environment and is passionate about digital media and new customer experiences. Individuals in this role will ensure that excellent service is provided to all internal customers, develop and improve more effective internal systems, work within established financial and technical systems used by the company, and ensure that timeliness, accuracy and attention to detail are good in all aspects of day-to-day functions. Update and optimize various production finance related management reports across APAC Own the data ingestion processes for production budgets and latest estimates across APAC Facilitate the resolution of Accounts Payable / Accounts Receivable exceptions for India Conducting ad hoc analysis on production budgets for India Building out and maintaining a production budget and rate benchmarking tool across APAC Performing periodic audits to maintain effective controllership on production finance deliverables for India 3+ years of tax, finance or a related analytical field experience 4+ years of Accounts Receivable or Account Payable experience 4+ years of applying key financial performance indicators (KPIs) to analyses experience 4+ years of creating process improvements with automation and analysis experience 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience Bachelors degree in engineering, statistics or business, or Bachelors degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience Six Sigma Black Belt Experience with advanced use of SQL for data mining and business intelligence Experience as a lean sensei, or experience working as a Quality Assurance Engineer 4+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience MBA, or CPA Knowledge of Tableau Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)

Senior Executive- Strategy and Reporting Customer Operations Associate Analyst 1 About Junglee Games With over 140 million users, Junglee Games is a leader in the online skill gaming space. Founded in San Francisco in 2012 and part of the Flutter Entertainment Group, we are revolutionizing how people play games. Our notable games include Howzat, Junglee Rummy, and Junglee Poker. Our team comprises over 1000+ talented individuals who have worked on internationally acclaimed AAA titles like Transformers and Star Wars: The Old Republic and contributed to Hollywood hits such as Avatar. Junglee s mission is to build entertainment for millions of people around the world and connect them through games. Junglee Games is not just a gaming company but a blend of innovation, data science, cutting-edge tech, and, most importantly, a values-driven culture that is creating the next set of conscious leaders. Job Overview The Senior Executive - Strategy & Reporting (Customer Experience) is responsible for analyzing customer data, developing strategic initiatives, and generating reports to enhance customer satisfaction and engagement. This role plays a key part in shaping customer experience (CX) strategies by providing insights, tracking key performance indicators (KPIs), and supporting leadership in decision-making. The ideal candidate should have strong analytical skills, a data-driven mindset, and the ability to translate customer insights into actionable recommendations. Key Responsibilities & Skills Required Lead end-to-end data analysis to derive actionable insights on player behavior, product feature performance. Regularly analyze and interpret data to identify "5 Whys" root causes for key trends, contributing significantly to strategic business initiatives and evaluating their impact on product success and user experience. Ensure on time delivery of assigned reporting and analytics. Communicate complex data in comprehensible ways Respond to ad hoc requests from the stakeholders relating to the various deliverables Proactively identify opportunities for process improvement, operational efficiencies, and value addition through data-driven insights. Collaborate with internal teams to resolve data input or system issues, ensuring data quality and reliable analytical outputs. Identify new data sources and methods to improve data collection, analysis, and reporting Take ownership of analytical and modeling projects from conceptualization through to delivery, ensuring robust methodology and actionable outcomes. Qualifications and Skills required Graduate /MBA 2-4 years of product /e-commerce/Gaming industry experience in the data space. Demonstrated experience in consumer modeling and analyzing data to evaluate product effectiveness and inform strategic decisions. Knowledge of data profiling and proven experience in data mining, collation, and dashboard creation Strong, professional written and verbal communication skills with the ability to work with all levels within the business; confident in one s ability to anticipate what is needed Basic knowledge of SQL, Python for analytics. Ability to own analysis and project end-to end Experience in technical requirements gathering and the ability to document technical requirements is a strong plus. Be a part of Junglee Games to: Value Customers & Data - Prioritize customers, use data-driven decisions, master KPIs, and leverage ideation and A/B testing to drive impactful outcomes. Inspire Extreme Ownership - We embrace ownership, collaborate effectively, and take pride in every detail to ensure every game becomes a smashing success. Lead with Love - We reject micromanagement and fear, fostering open dialogue, mutual growth, and a fearless yet responsible work ethic. Embrace change - Change drives progress and our strength lies in adapting swiftly and recognizing when to evolve to stay ahead. Play the Big Game - We think big, challenge norms, and innovate boldly, driving impactful results through fresh ideas and inventive problem-solving. Avail a comprehensive benefits package that includes paid gift coupons, fitness plans, gadget allowances, fuel costs, family healthcare, and much more. Know more about us Explore the world of Junglee Games through our website, www.jungleegames.com . Get a glimpse of what Life at Junglee Games looks like on LinkedIn . Here is a quick snippet of the Junglee Games Offsite 24 Liked what you saw so far? Be A Junglee

Enter searched data accurately into computer systems using typing software such as MS Office. Verify and proofread entered data for errors, inconsistencies, and discrepancies. Maintain accurate records of all entered data perform regular backups

Educational Bachelor of Engineering Service Line AI & Automation Service Line Responsibilities Data collection and preparationCollect and prepare data for training and evaluating LLMs. This may involve cleaning and processing text data, or creating synthetic data Model developmentDesign and implement LLM models. This may involve choosing the right architecture, training the model, and tuning the hyperparameters Model evaluationEvaluate the performance of LLM models. This may involve measuring the accuracy of the model on a held-out dataset, or assessing the quality of the generated text Model deploymentDeploy LLM models to production. This may involve packaging the model, creating a REST API, and deploying the model to a cloud computing platform. Responsible AIShould have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all stages of AI development. Must demonstrate a commitment to upholding privacy standards, mitigating bias, and fostering trust within data-driven initiatives. Experience in working with ML toolkit like R, NumPy, MatLab etc.. Experience in data mining, statistical analysis and data visualization Additional Responsibilities: Ability to develop value-creating strategies and models that enable clients to innovate, drive growth and increase their business profitability Good knowledge on software configuration management systems Awareness of latest technologies and Industry trends Technical and Professional : Primary skills:Technology-Artificial Intelligence -Generative AI-Computer Vision,Technology-Big Data-Natural language processing(NLP),Technology-Machine Learning-Python Preferred Skills: Technology-Big Data-Natural language processing(NLP) Technology-Machine Learning-Python Technology-Artificial Intelligence-Computer Vision Technology-Machine Learning-Generative AI