4141 Data Mining Jobs - Page 22

Product Manager, AI Safety Services Shape the products that keep frontier AI safeat the speed of innovation. The impact youll make Catalyze responsible AI: Deliver product experiences that let customers identify and mitigate risks before their models reach users. Balance safety & velocity: Define workflows that integrate seamlessly into fastmoving ML pipelinesso customers can ship safely at pace. Set industry benchmarks: Translate emerging best practices in alignment, robustness, and interpretability into scalable, userfriendly products. What youll do Own product vision & strategy for AI safety evaluation platforms, adversarialtesting services, and driftmonitoring solutions. Deeply understan...

Summary: The Senior Cybersecurity Engineer is responsible for ongoing cybersecurity assessments of Wabtec products to determine whether they comply with applicable Wabtec cybersecurity standards and technical controls. They will advise product managers and engineering teams, create awareness of cybersecurity standards and technical controls, and recommend best practices for satisfying these standards and controls for all Wabtec products offered or made available to customers. They will work closely with others to define and maintain technical controls to address applicable regulations, industry standards, Wabtec policy, and product requirements. Experience & Qualifications: Bachelor's degree...

Role Summary/Purpose The Sr. Data Scientist, working as part of Wabtec's Digital Advanced Technologies (DAT) team will be responsible for architecting and deploying new advanced AI computer vision solutions throughout the freight and passenger transportation industry. DAT is a cross-disciplined entrepreneurial group that carries out applied research in AI/ML, designs and deploys cutting edge algorithms and new digital solutions throughout the Wabtec portfolio of businesses. The Sr. Data Scientist will work closely with DAT's ML engineers and Wabtec's cloud architects to deploy scalable machine learning and deep learning solutions in cloud and edge video analytics, robotics and automation sys...

Educational Requirements Bachelor of Engineering,BTech,BE,BCA,BSc,MBA,MCA,MSc,MTech Service Line Enterprise Package Application Services Responsibilities You will own and drive the end-to-end implementation of the Celonis/SAP Signavio/MS Power Automate Process Mining/AssistEdge Discover/Pega Process Mining engagements across various customers. You will help customers drive significant business outcomes and ROI by leveraging the insights uncovered through process and task mining. You will collaborate directly with process owners and technical teams within each customer to understand their goals, objectives and requirements and translate them into technical requirements. You will plan, schedul...

Design, develop, and maintain responsive web applications and dashboards Collaborate with product managers and designers to translate requirements into intuitive interfaces Integrate frontend applications with backend APIs, including LLM endpoints Ensure crossbrowser compatibility, accessibility, and mobile responsiveness Optimize application performance for speed and scalability Write clean, modular, and reusable code with proper documentation Work closely with backend and fullstack teams to align UI with API functionality

Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory Architect and implement cloudbased data solutions, integrating structured and unstructured data sources Build and optimize ETL workflows and ensure seamless data integration across platforms Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems Manage Azurebased storage solutions including Azure Data Lake and Blob Storage Troubleshoot performance bottlenecks in data flows and ETL processes Integrate advanced analytics and support BI use cases within the Azure ecosystem Lead code reviews and ensure adherence to version control practices...

Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration Architect and implement cloudbased data solutions, integrating structured and unstructured data sources Build and optimize ETL workflows and ensure seamless data integration across platforms Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems Manage Azurebased storage solutions including Azure Data Lake and Blob Storage Troubleshoot performance bottlenecks in data flows and ETL processes Integrate advanced analytics ...

Design, develop, and manage scalable and secure data pipelines using Azure Databricks and Azure Data Factory Write clean, efficient, and reusable code primarily in Python for cloud automation, data processing, and orchestration Architect and implement cloudbased data solutions, integrating structured and unstructured data sources Build and optimize ETL workflows and ensure seamless data integration across platforms Develop data models using normalization and denormalization techniques to support OLTP and OLAP systems Manage Azurebased storage solutions including Azure Data Lake and Blob Storage Troubleshoot performance bottlenecks in data flows and ETL processes Integrate advanced analytics ...

We are an escalations team in Operations that primarily works on databases, performance, infrastructure, scalability & innovate solutions Diagnose and resolve complex database performance issues across PostgreSQL and MySQL and provide RCAs Perform query optimization, indexing, and database configuration adjustments to ensure optimal response times and resource utilization. Proactively monitor and analyze database workloads, identify bottlenecks, and recommend improvements to developers and other teams. Perform MariaDB/MySQL to Postgres migrations. Provide on-call support during weekends on rotational basis. Youll get an opportunity of leading individual projects, including driving project ou...

Create and implement analytical solutions on enriching data quality for usage across analytics and targeting. Create innovative data products encompassing commercial prospect and customer targeting use-cases, to drive profitable acquisition and engagement strategy (few examples of data products include - Product/Channel Propensity, Best Time to Call or Lead Quality Index (LQI), identifying commercial expense categories etc.) Work with external data vendors to evaluate external data for small businesses incl. signals, inflection points and establish the proof of concept on investing in purchasing the data to improve/enrich commercial targeting. Collaborate with Decision Science and Capabiliti...

Proven experience in a strategy, analytics, or business modelling role. Strong analytical skills with the ability to collect, organize, analyse, and disseminate significant amounts of information with attention to detail and accuracy. Proficient in using AI tools for data mining, trend analysis, and predictive modelling. Strong problem-solving skills and business acumen including ability to develop best in class solutions and recommendations. Excellent communication skills with the ability to interpret and convey complex data in a clear, concise manner. Exceptional curiosity and creativity in data exploration, with the ability to think beyond day-to-day tasks. Familiarity with various analyt...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems Responsibilities JD to be evaluated Azure Data factory, Azure Databricks, PySpark, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, Delta Live Table Azure Data Engineering Master ELT Master Data Modeling Master Data Integration & Ingestion Master Data Manipulation and Processing Skill GITHUB, Action, Azure DevOps Skill Optional skills Experience in project manage...

Data Science Research : Conduct research to combat spam, scam, and fraud in mobile telecommunication protocols. Global Support : Assist mobile network operators worldwide in identifying, monetizing, and preventing spam and fraud. Big Data Analysis : Analyze large volumes of Voice/SMS/MMS traffic. Data Processing : Clean and preprocess data, perform exploratory and statistical analysis. Machine Learning : Apply machine learning, data mining, and text mining techniques. Visualization : Create visualizations and presentations of data findings. Fraud Detection : Uncover activities of organized spammers and fraudsters, research new fraud techniques, and design detection algorithms. Virus/Malware ...

Overview Ethoca, a Mastercard Company is seeking a Lead Data Engineer to join our team to drive on premise solutions together with Azure cloud enablement while exploring big data solutions within our technology landscape. The role is visible and critical as part of a high performing team it will appeal to you if you have an effective combination of domain knowledge, relevant experience, and the ability to execute on the details. You will bring cutting edge software and full stack development skills with advanced knowledge of cloud and data lake experience while working with massive data volume. You will own this our teams are small, agile and focused on the needs of the high growth fintech m...

Job Title: Manager Data Scientist Location: Hyderabad Reports to: Chief Information and Digital Officer (CIDO) Gender: Female (Only) Grade/Level: Manager Educational Qualification Bachelor’s degree in Computer Science, Electronics, Statistics, or Mathematics . Master’s degree in a related discipline preferred. Experience 6 to 9 years of experience in Data Analytics / Data Science roles. Preferred Industry: Agri Business or FMCG. Job Purpose To enable automation and real-time data-driven decision-making across business functions through advanced analytics, machine learning, and digital transformation strategies. Key Responsibilities 1. Data Strategy Support the CIDO in building and executing ...

Role Overview: As a Senior Data Scientist at Happiest Minds, you will be part of a dedicated team transforming businesses through innovative technology solutions. Your role will involve leveraging data to drive insights and create exceptional value for clients. You will work in an inclusive and dynamic environment that fosters creativity and collaboration. Key Responsibilities: - Collaborate with business units to understand their data needs and provide analytical support. - Analyze, clean, and validate data to ensure its quality and reliability. - Design and implement data models and structures using Azure Data Lake and other technologies. - Develop and maintain data pipelines for data coll...

As a Lead Data Engineer, you will be responsible for the following: - Multi-year work experience as a Platform Lead, Delivery Leader, or similar role. - Good working knowledge of AWS Services, Python, Pyspark, data modeling. - Knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured data. - Knowledge of ETL, data mining, Data Warehousing, and segmentation techniques. - Knowledge of databases (Azure SQL, MSQL), data lakes (e.g., Azure Data Lake/Delta lakes), Processing tools (e.g., Databricks/HDInsight), and BI and Reporting tools (e.g., Power BI, Tableau) or similar technologies. - Experience working with advanced data management, data processing,...

As a Services Consultant at Celonis, your role will involve accelerating customers" digital transformation and driving Celonis" international expansion. You will identify customers" strategic priorities and develop data-driven process insights using SQL. Your responsibilities will include creating complex data models to ensure customers receive maximum value and becoming an expert in various company processes such as Finance, Order Management, Procurement, and more. You will leverage the latest features of Celonis software like Process Analytics, Process Automation, Artificial Intelligence, and Machine Learning. **Key Responsibilities:** - Lead and drive the implementation process with high ...

As a Planning Systems Specialist, your role involves supporting the Planning / SPCPS & MF Business Manager as a Functional / Data expert using Kinaxis Rapid Response and Java-based applications. Your primary responsibility is to lead all Planning activities in SPCPS & MF and publish relevant KPIs to measure the health of the planning process. You will work closely with the regional MP&L & Sales planning team to assist in mix authoring in SPCPS Kinaxis. Additionally, you will provide creative solutions to complex business problems, drive inbound integration activities, and ensure data robustness to support seamless mix authoring at the feature level in Kinaxis-based applications. Collaboratio...

As an Applied AI ML Lead within the Digital Intelligence team at JPMorgan, you will collaborate with all lines of business and functions to deliver software solutions. You will experiment, develop, and productionize high-quality machine learning models, services, and platforms to make a significant impact on technology and business. You will design and implement highly scalable and reliable data processing pipelines. Additionally, you will perform analysis and insights to promote and optimize business results. You will contribute to a transformative journey and make a substantial impact on a wide range of customer products. - Research, develop, and implement machine learning algorithms to so...

Role Overview: As an Assistant Vice President for the Data Science Team at Citigroup, you will be responsible for driving the development and implementation of advanced analytical solutions to support key business objectives. Your role will involve collaborating in high-performing teams, delivering impactful insights, and fostering a data-driven culture. Key Responsibilities: - Support model validation process for Model Risk Management - Develop and implement automated solutions to manage increasing volume of models - Oversee the development of predictive models, machine learning algorithms, and other advanced analytical techniques - Document data requirements, data collection / processing /...

Request-ID: 21237-1 Loc: Manyata Tech Park JD: Technical Competencies Data Gathering and Analysis Big Data Computing Cloud Computing Software Development Big Data Management and Analytics Minimum Qualifications: Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, CS, Data or Information Science, or related quantitative analytic field AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, CS, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experienc...

Infojini ranked as one of the INC 5000 fastest-growing companies for the last five years, Infojini has more than 17 years of experience in providing services like staff augmentation, software development, website & mobile app design and development, application support & maintenance, cloud, and cybersecurity to clients. We have extensive experience with Fortune 500 and government clients such as the State of Maryland, the State of Texas, the State of Washington, the State of California, and many more. Infojini works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. Fresher's who're MBA/ BBA/ B. Tech (...

About The Role Skill required: Delivery - HR Analytics Designation: I&F Decision Sci Practitioner Manager Qualifications: Any Graduation Years of Experience: 13 to 18 years What would you do? Talent & HR analytics practice in Accenture BPO provides analytical services to large number of Accenture clients across industries. Its analytical solution portfolio covers entire span of employee life cycle through offerings defined as Talent Acquisition, Talent Development, Workforce Engagement and Retention and Employee services.The team in Talent & HR analytics provides analytical solutions like Employer value proposition Talent demand forecast and workforce planning High performer profiling New hi...

Data mining or extracting usable data from valuable data sources Carrying out preprocessing of structured and unstructured data Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Creating and modifying dashboards, reports, and queries Technical Skills: Programming Skills Very good experience of programming languages like Python, and database query languages like SQL, Hive, Spark is desirable. Familiarity with Scala, Java, or C++ is an added advantage. Data Wrangling proficiency in handling imperfections in data. Experience with Data Visualization Tools like Domo, Tableau, Power BI etc. that...