About Us: As a Fortune 50 company with more than 400,000 team members worldwide, Target is an iconic brand and one of America's leading retailers. Joining Target means promoting a culture of mutual care and respect and striving to make the most meaningful and positive impact. Becoming a Target team member means joining a community that values different voices and lifts each other up . Here, we believe your unique perspective is important, and you'll build relationships by being authentic and respectful. Pyramid Overview As a Sr Engineer in Data Sciences , y ou will play crucial role in designing, implementing, and optimizing the AI solutions in production. Additionally, you ll apply best practices in software design, participate in code reviews, create a maintainable well-tested codebase with relevant documentation. We will look to you to understand and actively follow foundational programming principles (best practices, know about unit tests, code organization, basics of CI/CD etc.) and create a well-maintainable & tested codebase with relevant documentation. You will get the opportunity to develop in one or more approved programming languages (Java, Scala, Python, R), and learn and adhere to best practices in data analysis and data understanding. Team Overview The Competitive Intelligence Data Sciences team at Target builds Data Science models in service of leveraging competitive information for various decisioning . The team plays a crucial role in helping Target stay competitive across various business functions. Position Overview For this specific role, you will be responsible for deploying and maintaining language models i n partnership with the cross functional technology team that spans across Product engineering, Data engineering & Data analytics . You will need to diagnose model performance, review summary statistics and iteratively improve the quality of the downstream decisions. About You: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 4 plus years of experience in end-to-end application development, data exploration, data pipelining, API design, optimization of model latency Strong expertise in working with text data, embeddings, building & deploying NLP solutions and integrating with LLM services Expertise in MLOps frameworks and hands on experience in MLOps tools 2 plus years of experience building and deploying AI/ML algorithms into production environments - including model and system monitoring and troubleshooting Highly proficient in programming with Spark (Python and/or Scala) Good understanding of Big Data and Distributed Architecture- specifically Hadoop, Hive, Spark, Docker, Kubernetes and Kafka Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Strong team player with ability to collaborate effectively across global team Understanding of retail industry is added advantage Bonus Points: Experience with Deep Learning frameworks TensorFlow, Pytorch or Keras Experience developing highly distributed AI/ML systems at scale Experience with Vertex AI Experience in mentoring the junior team members ML skillset and career development Experience in handling streaming data and setting up real-time services Know More about Us here: Life at Target- https://india.target.com/ Benefits- https://india.target.com/life-at-target/workplace/benefits https://india.target.com/life-at-target/belonging

Job Information Job Opening ID ZR_1634_JOB Date Opened 12/12/2022 Industry Technology Job Type Work Experience 5-8 years Job Title AWS-BIGDATA-DEVELOPER City Bangalore Province Karnataka Country India Postal Code 560001 Number of Positions 4 Roles and Responsibilities: Experience in GLUE AWS Experience with one or more of the followingSpark, Scala, Python, and/or R . Experience in API development with NodeJS Experience with AWS (S3, EC2) or other cloud provider Experience in Data Virtualization tools like Dremio and Athena is a plus Should be technically proficient in Big Data concepts Should be technically proficient in Hadoop and noSQL (MongoDB) Good communication and documentation skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2172_JOB Date Opened 10/04/2024 Industry Technology Job Type Work Experience 4-6 years Job Title Front End Engineer City Bangalore Province Karnataka Country India Postal Code 560029 Number of Positions 4 Skills & Qualifications Bachelor/masters in computer science or relevant fields. 3+ years of relevant experience. Strong sense of ownership. Experience in building and scaling microservices. Strong problem-solving skills, technical troubleshooting and diagnosing. Expected to be a role model for young engineers, have a strong sense of code quality and enforce code quality within the team. Excellent understanding of Debugging performance and optimization techniques. Experience in JavaScript, HTML & CSS, React js Experience in developing any large-scale Experience in cloud technologies. Demonstrated ability to deliver in a fast-paced environment. Good Communication Skills. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_2004_JOB Date Opened 18/07/2023 Industry Technology Job Type Work Experience 4-6 years Job Title Data Analyst City Chennai Province Tamil Nadu Country India Postal Code 600034 Number of Positions 2 3 - 6 years of experience performing quantitative analysis in the financial services industry preferred but not required. Skilled "hands-on" user of SAS, R, MATLAB, SQL, and/or other statistically programming language required. check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Job Information Job Opening ID ZR_1640_JOB Date Opened 13/12/2022 Industry Technology Job Type Work Experience 8-12 years Job Title Sr Technical Lead City Hyderabad Province Telangana Country India Postal Code 500001 Number of Positions 4 Roles & Responsibilities: Ensure that high quality bio statistical and psychopharmacology support is provided by the Analytics team Ensure that staff implement innovative, rigorous bio statistical methods to meet study objectives Lead RWE (Real World Evidence) large scale analytics (LSA) studies. Run statistical programs in R, R shiny, deploy study packages and generate reliable RWE results in TFLs with minimal supervision. Provide statistical support for design, implementation, running, analysis and dissemination of results for clinical trials Design and analyze clinical research projects Create and execute Statistical Analysis Plans Strong Knowledge in RWE(Real World Evidence) with Bio statistics Background Experience in creating cohort analysis or Meta analysis or Survival analysis or Bayesian Versus Frequentest Approaches to Clinical Trials Experience in implementing generalized mixture models, Bayesian mixer models, Fixed-effects and Random-effects models Knowledge on Statistical Process Control, Stochastic Optimization Knowledgeable in R or Python programming Skills and shiny web app development Knowledge on Cloud platform like AWS Exposure to Healthcare data formats like HL7, OMOP, ODHSI Exposure to RWE, RWA, RWD Experience with data sources like registries, EMR Good communications Skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

Role Description: As part of the cybersecurity organization, In this vital role you will be responsible for designing, building, and maintaining data infrastructure to support data-driven decision-making. This role involves working with large datasets, developing reports, executing data governance initiatives, and ensuring data is accessible, reliable, and efficiently managed. The role sits at the intersection of data infrastructure and business insight delivery, requiring the Data Engineer to design and build robust data pipelines while also translating data into meaningful visualizations for stakeholders across the organization. The ideal candidate has strong technical skills, experience with big data technologies, and a deep understanding of data architecture, ETL processes, and cybersecurity data frameworks. Roles & Responsibilities: Design, develop, and maintain data solutions for data generation, collection, and processing. Be a key team member that assists in design and development of the data pipeline. Build data pipelines and ensure data quality by implementing ETL processes to migrate and deploy data across systems. Develop and maintain interactive dashboards and reports using tools like Tableau, ensuring data accuracy and usability Schedule and manage workflows the ensure pipelines run on schedule and are monitored for failures. Collaborate with multi-functional teams to understand data requirements and design solutions that meet business needs. Develop and maintain data models, data dictionaries, and other documentation to ensure data accuracy and consistency. Implement data security and privacy measures to protect sensitive data. Leverage cloud platforms (AWS preferred) to build scalable and efficient data solutions. Collaborate and communicate effectively with product teams. Collaborate with data scientists to develop pipelines that meet dynamic business needs. Share and discuss findings with team members practicing SAFe Agile delivery model. What we expect of you We are all different, yet we all use our unique contributions to serve patients. The Data engineer professional we seek is one with these qualifications. Basic Qualifications: Masters degree and 1 to 3 years of experience of Computer Science, IT or related field experience OR Bachelors degree and 3 to 5 years of Computer Science, IT or related field experience OR Diploma and 7 to 9 years of Computer Science, IT or related field experience Preferred Qualifications: Hands on experience with data practices, technologies, and platforms, such as Databricks, Python, GitLab, LucidChart, etc. Hands-on experience with data visualization and dashboarding toolsTableau, Power BI, or similar is a plus Proficiency in data analysis tools (e.g. SQL) and experience with data sourcing tools Excellent problem-solving skills and the ability to work with large, complex datasets Understanding of data governance frameworks, tools, and best practices Knowledge of and experience with data standards (FAIR) and protection regulations and compliance requirements (e.g., GDPR, CCPA) Good-to-Have Skills: Experience with ETL tools and various Python packages related to data processing, machine learning model development Strong understanding of data modeling, data warehousing, and data integration concepts Knowledge of Python/R, Databricks, cloud data platforms Experience working in Product team's environment Experience working in an Agile environment Professional Certifications: AWS Certified Data Engineer preferred Databricks Certificate preferred Soft Skills: Initiative to explore alternate technology and approaches to solving problems Skilled in breaking down problems, documenting problem statements, and estimating efforts Excellent analytical and troubleshooting skills Strong verbal and written communication skills Ability to work effectively with global, virtual teams High degree of initiative and self-motivation Ability to handle multiple priorities successfully Team-oriented, with a focus on achieving team goals

Data Analyst Location: Bangalore Experience: 8 - 15 Yrs Type: Full-time Role Overview We are seeking a skilled Data Analyst to support our platform powering operational intelligence across airports and similar sectors. The ideal candidate will have experience working with time-series datasets and operational information to uncover trends, anomalies, and actionable insights. This role will work closely with data engineers, ML teams, and domain experts to turn raw data into meaningful intelligence for business and operations stakeholders. Key Responsibilities Analyze time-series and sensor data from various sources Develop and maintain dashboards, reports, and visualizations to communicate key metrics and trends. Correlate data from multiple systems (vision, weather, flight schedules, etc) to provide holistic insights. Collaborate with AI/ML teams to support model validation and interpret AI-driven alerts (e.g., anomalies, intrusion detection). Prepare and clean datasets for analysis and modeling; ensure data quality and consistency. Work with stakeholders to understand reporting needs and deliver business-oriented outputs. Qualifications & Required Skills Bachelors or Masters degree in Data Science, Statistics, Computer Science, Engineering, or a related field. 5+ years of experience in a data analyst role, ideally in a technical/industrial domain. Strong SQL skills and proficiency with BI/reporting tools (e.g., Power BI, Tableau, Grafana). Hands-on experience analyzing structured and semi-structured data (JSON, CSV, time-series). Proficiency in Python or R for data manipulation and exploratory analysis. Understanding of time-series databases or streaming data (e.g., InfluxDB, Kafka, Kinesis). Solid grasp of statistical analysis and anomaly detection methods. Experience working with data from industrial systems or large-scale physical infrastructure. Good-to-Have Skills Domain experience in airports, smart infrastructure, transportation, or logistics. Familiarity with data platforms (Snowflake, BigQuery, Custom-built using open-source). Exposure to tools like Airflow, Jupyter Notebooks and data quality frameworks. Basic understanding of AI/ML workflows and data preparation requirements.

Must have skills required : Python, R, SQL, PowerBI, Spotfire, Hadoop, Hive Good to have skills : Spark, Statistics, Big Data Job Description: You will work with Being part of a digital delivery data group supporting bp Solutions, you will apply your domain knowledge and familiarity with domain data processes to support the organisation. Part of bps Production & Operations business, bp Solutions has hubs in London, Pune, and Houston. The data team provides daily operational data management, data engineering and analytics support to this organisation across a broad range of activity from facilities and subsea engineering to logistics. Let me tell you about the role A data analyst collects, processes, and performs analyses on a variety of datasets. Their key responsibilities include interpreting complex data sets to identify trends and patterns, using analytical tools and methods to generate actionable insights, and creating visualizations and reports to communicate those insights and recommendations to support decision-making. Data analysts collaborate closely with business domain stakeholders to understand their data analysis needs, ensure data accuracy, write and recommend data-driven solutions and solve value impacting business problems. You might be a good fit for this role if you: have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Strong analytical skills and demonstrable capability in applying analytical techniques and Python scripting to solve practical problems. are curious, and keen to apply new technologies, trends & methods to improve existing standards and the capabilities of the Subsurface community. are well organized and self-motivated, you balance proactive and reactive approaches and across multiple priorities to complete tasks on time. apply judgment and common sense you use insight and good judgment to inform actions and respond to situations as they arise. What you will deliver Be a bridge between asset teams and Technology, combining in-depth understanding of one or more relevant domains with data & analytics skills Provide actionable, data-driven insights by combining deep statistical skills, data manipulation capabilities and business insight. Proactively identify impactful opportunities and autonomously complete data analysis. You apply existing data & analytics strategies relevant to your immediate scope. Clean, pre-process and analyse both structured and unstructured data Develop data visualisations to analyse and interrogate broad datasets (e.g. with tools such as Microsoft PowerBI, Spotfire or similar). Present results to peers and senior management, influencing decision making What you will need to be successful (experience and qualifications) Essential MSc or equivalent experience in a quantitative field, preferably statistics. have strong domain knowledge in at least one of; facilities or subsea engineering, maintenance and reliability, operations, logistics. Hands-on experience carrying out data analytics, data mining and product analytics in complex, fast-paced environments. Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages. Deep understanding of a few and a high-level understanding of several commonly available statistics approaches. Advanced SQL knowledge. Advanced scripting experience in R or python. Ability to write and maintain moderately complex data pipelines. Customer-centric and pragmatic mindset. Focus on value delivery and swift execution, while maintaining attention to detail. Excellent communication and interpersonal skills, with the ability to effectively communicate ideas, expectations, and feedback to team members, stakeholders, and customers. Foster collaboration and teamwork Desired Advanced analytics degree. Experience applying analytics to support engineering turnarounds Experience with big data technologies (e.g. Hadoop, Hive, and Spark) is a plus.

The IT Technical Analyst - Senior provides technical expertise in applications or infrastructure, delivering detailed solution designs that translate business requirements into scalable IT solutions. This role supports the design, development, implementation, and maintenance of IT systems and infrastructure in alignment with Cummins architectural standards and security practices. The position involves technical analysis, design review, solution configuration, and cross-functional collaboration to deliver optimized and reliable solutions. Key Responsibilities Develop and manage technical specifications to guide application, infrastructure, or solution development. Analyze and evaluate solution options, including commercial-off-the-shelf products vs custom-built solutions. Deliver and document detailed solution designs that meet business, performance, security, scalability, and maintainability requirements. Collaborate with infrastructure teams and service providers to ensure solution delivery meets specifications and quality standards. Participate in design and code reviews to ensure adherence to standards and requirements. Drive reuse of components and efficiency in the build and deployment processes using automation and CI/CD pipelines. Support the creation of runbooks and documentation for end-user support and knowledge transfer. Assist in testing strategy and execution of test plans for solution validation. Provide advanced (Level 3) support for critical technical issues and participate in system remediation. Analyze existing systems for improvements, optimizations, or compliance needs. Qualifications College, university, or equivalent degree in Computer Science, Information Technology, Business, or a related field is required. Relevant industry certifications are a plus. May require licensing for compliance with export controls or sanctions regulations. Experience 8-10 years of relevant technical experience in IT solution development and infrastructure design. Intermediate level of experience with demonstrated ability to design, implement, and support enterprise-level solutions. Skills and Experience Strong proficiency in: SQL, DAX, M Query, Python SSIS, SSAS, Azure DataLake, Databricks Power BI service development and optimization CI/CD pipelines (GitHub) Agile tools (Jira, Confluence) Familiarity with: C#, R, TensorFlow, PyTorch, NumPy Azure Analytics Services (AAS) Experience in: Data pipeline design and optimization AI/ML model integration and LLM training within Databricks Data governance and data quality metrics Cybersecurity and secure solution design Technical documentation and stakeholder communication Advanced data modeling in SSAS, Azure, Databricks Competencies Customer Focus - Builds strong relationships and delivers customer-centric solutions. Global Perspective - Approaches issues with a global lens. Manages Complexity - Resolves complex and sometimes contradictory data-driven problems. Manages Conflict - Handles challenging interpersonal situations effectively. Optimizes Work Processes - Continuously improves efficiency and effectiveness of processes. Solution Configuration & Design - Creates, configures, and validates COTS and custom-built solutions using industry-standard tools and practices. Performance Tuning - Optimizes systems and applications for maximum performance and scalability. Solution Validation Testing - Ensures solutions meet business and technical requirements through structured testing. Values Differences - Recognizes and leverages diverse perspectives and backgrounds.

SUMMARY Job Opening: DGM - Marketing (Marketing Strategist) Location: Mumbai/ Vadodara Job Description: Responsible for institutional sales, industrial sales, and managing a team of technicians and engineers. Key accounts management and product development. Building and maintaining client relationships. Preparation of techno-commercial proposals. Requirements Diploma in Mechanical Engineering / BE / BTech (Mechanical) 18+ years of experience in marketing within the industrial engineering industry Analytical mindset with the ability to analyze consumer behavior Proven experience in developing and implementing successful marketing plans within the industrial engineering industry Strategic thinking and the ability to identify growth opportunities Excellent communication and collaboration skills

Our team has deep understanding of EDC tools like Rave, Veeva, InForm, openClinica, clinical data repositories like SAS LSAF, Oracle LSH, eCS elluminate, Metadata Repositories like Nurocor, Sycamore, Formedix, statistical computing environments like Sycamore, Domino, Sas Viya systems, Clinical data review systems, RBQM systems, and more. With experience as solution architects, business analysts, or techno-functional SMEs in GXP compliant validated environments, they guide the creation of solution, data flows and strategies for building clinical development and data management systems. Their offerings encompass technical advisory, consultancy, developing of clinical data platforms and products, system integration, and intelligent automation. Additionally, the team has created innovative tools through advanced technology and data science, aiding numerous clients in expediting the drug development process. What Youll Do You will spearhead the design & implementation of various innovative solutions in the realms of clinical trial, data management, analytics and RBQM. As a solution leader, your role will involve strategizing, offering tech consultancy, conducting assessments, and overseeing technology projects as the solution leader. You will be engaging with clients to review clinical business processes, determining requirements, establishing user narratives, and delivering solutions that have significant impact. You will lead requirements gathering activities and collaborate with product owner to prioritize and groom the backlog to ensure appropriate level of detail is captured at the right time You will lead team who review and Author high-level user stories and develop related tasks, acceptance criteria and review test cases Your team will work closely with project teams in creating requirement Specifications, requirement traceability metrics , user guides and other project requirement documents You will plan and facilitate various requirement gathering, solution meetings and artefacts You will work on creating process flows based on client and internal project discussions You will work to perform business process modelling, data flow, user experience modeling, and basic solution architecture diagramming Your team will act as techno-functional Liaison between client business user and project engineering team to provide correct business context, business rules You will work in building a Business Analysis capability, mentoring and upscaling more junior colleagues, and contributing to the growth of a BA community. What Youll Bring Bachelors degree in engineering / Pharma/ Bioinformatics / Medicine or related disciplines Masters degree in business analyst, Engineering or Science preferred. 8+ years of experience working within Life Science Domain as solution architect / business analyst / data analyst is required. Experience of working in any of Clinical trial design, data management, analytics and RBQM system development, product implementation and Integration like EDC (Rave, Veeva, InForm), Non-EDC(ePRO, LAB,eCOA) , clinical data repository (CDR SAS LSAF, Oracle LSH, eClinical elluminate ), Metadata Repository (MDR Nurocor, Sycamore, Formedix) , statistical computing environment (Domino, Sas Viya) system, CTMS, eTMF, CDMS is required. Strong verbal and written communication skills with ability to articulate results and issues to internal and client teams Experience in driving requirements discussions, workshops and coordinating with internal and external stakeholders, across time zones, during the planning and delivery of technology projects is required Experience working in end-to-end Clinical Data Repository implementation with Biometrics space will be preferred. Exposure to clinical data standards like CDISC (SDTM, ADaM), FHIR, HL7, USDM is required. Experience in building and delivering GxP compliant solutions for large enterprise program is required. Exposure to programming language like R, Python and SAS is preferred. Additional Skills Strong client presence and ability to communicate verbally and in writing complex domain concepts to all audiences. Significant supervisory, coaching and hands-on project management skills. Ability to manage a virtual global team environment that contributes to the overall timely delivery of multiple projects. Willingness to travel to other global offices as needed to work with client or other internal project teams. In-silico, digital twin, and/or modeling experience.

Our client is one of the global banking firms which provides industry-focused services for clients across geographies. We are currently looking for a Manager in the Scenario Design Team, part of the Enterprise-wide Stress Testing (EST) hub. This team is responsible for developing and enriching macroeconomic stress scenarios used across the banks internal and regulatory stress testing exercises, including BOE, ICAAP, Recovery & Resolution Planning, and Climate Risk Stress Testing. Some of the key responsibilities will include: Design and update economic stress scenarios across countries and regions. Collaborate with economists and country stakeholders to align scenarios with macroeconomic trends (growth, inflation, debt, etc.). Support quarterly management stress tests with timely scenario rollovers and enhancements. Maintain governance, documentation, and operational controls aligned with internal risk frameworks. Contribute to scenario automation, repository development, and regulatory compliance. To be eligible for this role you will require: 5-7 years of experience. Strong understanding of macroeconomics, monetary policy, and financial systems. Proficiency in data analytics / statistics tools (preferably R). Prior exposure to stress testing, economic research, or risk modeling. Bachelor's or Master's degree in Economics, Finance, Statistics, or related field. Experience in a banking or regulatory environment is preferred.

About Zscaler Serving thousands of enterprise customers around the world including 40% of Fortune 500 companies, Zscaler (NASDAQ: ZS) was founded in 2007 with a mission to make the cloud a safe place to do business and a more enjoyable experience for enterprise users. As the operator of the world’s largest security cloud, Zscaler accelerates digital transformation so enterprises can be more agile, efficient, resilient, and secure. The pioneering, AI-powered Zscaler Zero Trust Exchange™ platform, which is found in our SASE and SSE offerings, protects thousands of enterprise customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Named a Best Workplace in Technology by Fortune and others, Zscaler fosters an inclusive and supportive culture that is home to some of the brightest minds in the industry. If you thrive in an environment that is fast-paced and collaborative, and you are passionate about building and innovating for the greater good, come make your next move with Zscaler. Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy. We're looking for an experienced Staff Software Engineer to join our Unified API platform team. Reporting to the Director, you'll be responsible for: Leading identification and resolution of performance issues by developing advanced AI/ML models that pinpoint root causes of poor experience and detect performance bottlenecks for users Developing, maintaining, and refining predictive models to forecast user behavior, system performance, and potential friction points in the digital experience Implementing advanced AI/ML algorithms to detect and forecast anomalies in user experience across multiple dimensions Overseeing the entire lifecycle of ML projects, including analysis, training, testing, building, and deploying ML models into production environments Designing and creating compelling visualizations to effectively communicate findings and insights to both technical and non-technical stakeholders What We're Looking for (Minimum Qualifications) A Bachelors or Master’s(preferable) degree in Computer Science, Data Science, Statistics, or a related field with 4+ years of professional experience in data science or a related role Proficiency with data science tools and platforms such as Python, R, TensorFlow, SQL, and related libraries and frameworks Strong experience with networking and end-point observability systems Expertise in multi-dimensional anomaly detection algorithms, with a specific focus on time series data sets Strong experience in building and deploying ML models in production environments, including model orchestration using tools like Kubernetes and Airflow What Will Make You Stand Out (Preferred Qualifications) Published research or contributions to digital experience/end-user observability/networking/ data science community Demonstrated experience in the monitoring space, with a deep understanding of user experience metrics, monitoring tools, and methodologies Experience with designing complex systems and scaling ML models on large scale distributed systems #LI-Hybrid #LI-AN4 At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure. Our Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including: Various health plans Time off plans for vacation and sick time Parental leave options Retirement options Education reimbursement In-office perks, and more! By applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines. Zscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the Know Your Rights: Workplace Discrimination is Illegal link. Pay Transparency Zscaler complies with all applicable federal, state, and local pay transparency rules. Zscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

Responsibilities: * Design and implement AI solutions using GML, Neo4J, ArangoDB, LangChain, LLamaIndex, RAG. * Collaborate with cross-functional teams on ML projects with Python, PySpark, Pytorch, R, SQL.

Skill required: Property & Casualty - Catastrophe Risk Management Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation/12th/PUC/HSC Years of Experience: 5 to 8 years What would you do? Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholdersUnderstand complex treaty structure and apply to portfolio risks Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitationsSupport ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersApply CAT modeling best practices by continually understanding the evolving process within Client and build process efficienciesCoaching and develop members within teamMaintain good documentation of results, issues, data quality etc and have regular dialogue with each line of business to provide feedbackClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for? Minimum 5 years of catastrophe modelling experience - Strong analytical, problem-solving approach – strong knowledge on various reinsurance is mustExperience in using RMS applications and / or AIR CAT model(s) is mustClear communicator, able to structure an argument and explain complex issues in a simple way – faster learning capabilitiesAdvanced knowledge in MS Office applications (Outlook, Word, Excel & PowerPoint) Willingness to work and handle multi tasking in a rapidly changing environment with some firm deadlinesShould have better SQL skills and understand the database schema – additional programming (R/VBA) is advantageAbility to work independently. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,12th/PUC/HSC

Entity :- Accenture Strategy Consulting Team :- Strategy Consulting- Global Network Practice :- Marketing Analytics Title :- Manager Data Science Job location :- Gurgaon About SC - Global Network :- Accenture Applied Intelligence practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition. WHATS IN IT FOR YOU As part of our Analytics practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading statistical tools, methods, and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. Accenture will continually invest in your learning and growth. Youll work with Data Driven Merchandizing experts, and Accenture will support you in growing your own tech stack and certifications. In Applied intelligence you will understand the importance of sound analytical decision-making, relationship of tasks to the overall project, and executes projects in the context of a business performance improvement initiative. What you would do in this role Working through the phases of project Define data requirements for Data Driven Merchandizing capability. Clean, aggregate, analyze, interpret data, and carry out data quality analysis. 5+ years of advanced experience in Data Driven Merchandizing which involves setting up Pricing/Promotions/Assortment Optimization capabilities across retail clients. Knowledge of price/discount elasticity estimation. Experience in working with non-linear optimization techniques. Proficiency in Statistical Timeseries models, store clustering algorithms, descriptive analytics to support merch AI capability. Hands on experience in state space modeling and mixed effect regression. Development of AI/ML models in Azure ML tech stack. Develop and Manage data pipelines. Develop and Manage Data within different layers of Snowflake environment. Aware of common design patterns for scalable machine learning architectures, as well as tools for deploying and maintaining machine learning models in production. Knowledge of cloud platforms and usage for pipelining and deploying and scaling elasticity models. Working knowledge of Price/Promo optimization. Well versed with creating insights presentations and client ready decks. Should be able to mentor and guide a team of 10-15 people under him/her. Manage client relationships and expectations and communicate insights and recommendations effectively. Capability building and thought leadership. Logical Thinking- Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials. Task Management- Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track, and report progress. Qualifications Who we are looking for 7+ years of work experience in consulting/analytics with a reputed organization. Master degree in Statistics/Econometrics/ Economics or B Tech/M Tech or Masters/M Tech in Computer Science or M.Phil/Ph.D in statistics/econometrics or related field from reputed college Must have knowledge of SQL, R and Python language and at-least one cloud-based technology (Azure, AWS, GCP) Must have knowledge of building price/discount elasticity models and conduct non-linear optimization. Must have good knowledge of state space mixed-effect modeling techniques and optimization algorithms and applicability to industry data Must have AI capability migration experience from one cloud platform to another. Manage documentation of data models, architecture, and maintenance processes Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, SQL, PySpark. Proficient in Excel, MS word, PowerPoint, etc. Strong client and team management and planning of large-scale projects with risk assessment. Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, or any other basis as protected by applicable law.

Project Role :Analytics Practitioner Project Role Description :Develop business insights using predictive statistical modeling activities. Use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Must have skills :Data Analytics Good to have skills :NA Minimum 3 year(s) of experience is required Educational Qualification :15 years full time education Summary:As an Analytics & Modeling Practitioner, you will develop business insights using predictive statistical modeling activities. You will use analytical tools and techniques to generate and improve decision-making by modeling client, market, and key performance data. Your typical day will involve leveraging your expertise in data analytics to extract meaningful insights and trends from large datasets. You will collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Additionally, you will contribute to the development and implementation of statistical models to support business strategies and objectives. Roles & Responsibilities: Expected to perform independently and become an SME. Required active participation/contribution in team discussions. Contribute in providing solutions to work related problems. Develop and implement statistical models to analyze large datasets. Extract meaningful insights and trends from data using data analytics techniques. Collaborate with cross-functional teams to identify business problems and provide data-driven solutions. Conduct data analysis and present findings to stakeholders. Stay updated with the latest trends and advancements in data analytics and modeling. Professional & Technical Skills: Must To Have Skills:Proficiency in Data Analytics. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: The candidate should have a minimum of 3 years of experience in Data Analytics. This position is based at our Kolkata office. A 15 years full time education is required. Qualifications 15 years full time education

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will collaborate with teams, make team decisions, and provide solutions to problems. Your typical day will involve designing and developing applications, collaborating with multiple teams, and contributing to key decisions. 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 Design and develop applications Collaborate with cross-functional teams Contribute to key decisions Professional & Technical Skills: Must To Have Skills:Proficiency in Databricks Unified Data Analytics Platform Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in Databricks Unified Data Analytics Platform This position is based at our Bengaluru office A 15 years full time education is required Qualifications 15 years full time education

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 :SAP Sales and Distribution (SD) Good to have skills :NA Minimum 7.5 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. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP Sales and Distribution (SD) Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 7.5 years of experience in SAP Sales and Distribution (SD) This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role :AI Platform Engineer Project Role Description :Develops applications and systems that utilize AI to improve performance and efficiency, including but not limited to deep learning, neural networks, chatbots, natural language processing. Must have skills :Natural Language Processing (NLP) Good to have skills :No Technology Specialization Minimum 10+ year(s) of experience is required

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 : SAP FSCM Credit Management Good to have skills : NA Minimum 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. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. 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 Lead the effort to design, build, and configure applications Act as the primary point of contact Manage the team and ensure successful project delivery Professional & Technical Skills: Must To Have Skills:Proficiency in SAP FSCM Credit Management Experience with using Multi-Bank Connectivity (MBC) product for customer payments Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP FSCM Credit Management This position is based at our Bengaluru office A 15 years full-time education is required Qualifications 15 years full time education

Project Role AI / ML Engineer Project Role Description Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills Large Language Models Good to have skills NA Minimum 18 year(s) of experience is required Educational Qualification 15 years full time education SummaryAs an AI/ML Engineer, you will develop applications and systems utilizing AI tools, Cloud AI services, with a proper cloud or on-prem application pipeline of production-ready quality. You will apply GenAI models as part of the solution, incorporating deep learning, neural networks, chatbots, and image processing into your workday. Roles & Responsibilities- Expected to be a SME with deep knowledge and experience.- Should have influencing and Advisory skills.- Engage with multiple teams and responsible for team decisions.- Expected to provide solutions to problems that apply across multiple teams.- Provide solutions to business area problems.- Contribute to the development of innovative AI/ML solutions.- Collaborate with cross-functional teams to implement AI models effectively.- Stay updated on the latest AI/ML trends and technologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in Large Language Models.- Strong understanding of AI/ML algorithms and techniques.- Experience with cloud AI services and application pipelines.- Knowledge of deep learning, neural networks, and image processing.- Hands-on experience in developing AI applications.- Familiarity with GenAI models and their application. Additional Information- The candidate should have a minimum of 18 years of experience in Large Language Models.- This position is based at our Pune office.- A 15 years full-time education is required. Qualification 15 years full time education

Project Role : Quality Engineering Lead (Test Lead) Project Role Description : Leads a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Applies business and functional knowledge to develop end-to-end testing strategies through the use of quality processes and methodologies. Applies testing methodologies, principles and processes to define and implement key metrics to manage and assess the testing process including test execution and defect resolution. Must have skills : API Testing Good to have skills : Python (Programming Language), Java Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Quality Engineering Lead (Test Lead), you will lead a team of quality engineers through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Apply business and functional knowledge to develop end-to-end testing strategies using quality processes and methodologies. 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. Lead team planning and ecosystem integration. Develop end-to-end testing strategies using quality processes. Define and implement key metrics to manage and assess the testing process. Professional & Technical Skills: Must To Have Skills: Proficiency in API Testing. Strong understanding of statistical analysis and machine learning algorithms. Experience with data visualization tools such as Tableau or Power BI. Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Must to have additional skills - Python, Java. Additional Information: The candidate should have a minimum of 5 years of experience in API Testing. This position is based at our Gurugram office. A 15 years full time education is required. Qualification 15 years full time education

Project Role : Business Function Implementation Lead Project Role Description : Plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. Ensure alignment with business requirements including process analysis, design/re-design and/or organization structure definition. Must have skills : SAP CO Product Cost Controlling Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : BE Summary :As a Business Function Implementation Lead, you will plan and lead the implementation of all activities for a specific business function to improve performance for the business function end to end. You will ensure alignment with business requirements including process analysis, design/re-design, and/or organization structure definition. Your typical day will involve strategizing and executing plans to optimize the performance of the business function, analyzing processes, and defining organizational structures to enhance efficiency and effectiveness. 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 Lead the implementation of all activities for a specific business function Analyze processes and identify areas for improvement Define/redefine organization structure to enhance efficiency and effectiveness Professional & Technical Skills: Must To Have Skills:Proficiency in SAP CO Product Cost Controlling Strong understanding of statistical analysis and machine learning algorithms Experience with data visualization tools such as Tableau or Power BI Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information: The candidate should have a minimum of 5 years of experience in SAP CO Product Cost Controlling This position is based at our Bengaluru office A BE degree is required Qualifications BE

Job Title: Industry Function AI Decision Science Consultant- SC Global Network Management Level: 9- Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Qualifications Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)