541 Statistical Analysis Jobs - Page 21

FarmwiseAI is an AgriTech company leveraging AI-driven solutions to optimize farm management, empowering farmers with data-driven insights for sustainable agriculture. We seek a Senior Data Scientist to drive AI/ML initiatives, collaborating with cross-functional teams to develop AI-powered solutions. Responsibilities include developing and optimizing ML models for predictive analytics and image processing, working with large agricultural datasets such as satellite and drone data, deploying models into production, ensuring scalability, staying updated on AI/ML advancements, and mentoring junior team members. Candidates should have a Masters or PhD in Data Science, Computer Science, or a related field, with 5+ years of experience in AI/ML and at least 2 years in a leadership role. Technical skills required include Python, TensorFlow, PyTorch, Scikit-Learn, and experience with cloud platforms (AWS/GCP/Azure), with GIS knowledge being a plus. Strong problem-solving, communication, and leadership skills are essential.

What youll be doing... Were looking for you to bring the latest and greatest features to our customers-and to help us tell the marketplace about whats new and why they need to have it. This role combines deep technical knowledge of AI accelerator technologies with strategic product management to deliver solutions that enable faster, more efficient AI deployment. Collaborating with others, youll build the roadmap and drive the process from ideation through design and roll-outand build compelling value messages along the way. Your focus will be on AI products, features, and services that solve customer challenges and help make peoples lives better. This role requires a clear understanding of AI with a strong B2B acumen, committed to driving key business outcomes through data. Understanding and anticipating market needs. Define and communicate the product vision and strategy for AI features in our products, ensuring alignment with the companys overall goals and objectives Stay informed about the latest AI trends and identify potential applications for the business Defining requirements and leading the team through design and development. Building the business case, getting internal consensus, and defining product roadmaps. Forging strong relationships across the organization to get it all done. Tracking success metrics and communicating results to management. What were looking for Understanding what customers will want next is your driver. You are creative but balance that with your practical business side. You can juggle several projects with tight deadlines and not drop any ballswhile also keeping your eye on the big picture. An environment with lots of competing priorities and new challenges every day is where you thrive. With a knack for working with different types of people, you inspire others to do their best work and carry out your vision. You'll need to have: Bachelors degree or relevant work experience. Seven to ten years of relevant work experience. Good understanding of AI concepts, ML model architectures and computational requirements E-commerce experience. Excellent analytical, problem-solving, and decision-making skills specifically regarding large but undefined problem space Experience using data to drive product decisions and measure success. Experience in improving customer experience. Experience in enterprise digital analytics, with a strong preference for B2B industry experience. Demonstrated ability to work independently as a self-starter and lead cross-functional teams. Strong communication skills with the aptitude to convey complex data concepts in business terms. Even better if you have one or more of the following: Extensive experience with data modeling, statistical analysis, and predictive analytics. A strategic thinker with a proven record of leveraging analytics for business growth and transformation. Knowledge of design thinking. Digital experience, digital marketing and digital product management either in a business, agency or consulting organization. Managed complex projects with shifting priorities, demands, and stakeholders. Ideally, with cross-functional teams and agencies. Passion for innovation and a commitment to driving business value through technology.

Required Skills Technology | Statistical Analysis Tool / Software | Excel Education Qualification : Any Graduate Certification Mandatory / Desirable : Technology | IT Certifications | HDI Certification | ITIL Foundation Details: Hardware and Network: a. Understand issues from user perspective and reach out to appropriate resolver groups b. Decode the error /alarm status, understand the failed unit / device and provide hands and feet support in resolution through strong hardware and networking troubleshooting techniques. Switching: a. Carry out Standard Configuration on Switch according to the template. b. Carry out VLAN Mapping to IP Address using SVI, Vlan Interfaces, Port mapping, Port security, Perform Port Aggregation and Link Configuration: Access / Trunk. Routing: a. Troubleshoot Routing issues(EIGRP/OSPF), Over-Utilization, Reachability, VPN connectivity. b. Apply standard SOP based Configurations on routers. (AAA, TACACS, Radius, Banner Standard access-list, GRE, VPN Configurations) WLAN: a. Troubleshoot WAP isolation issues, authentication issues and Validate with CAP WAP messages. b. Carry out configuration such as group Creation, access-control and documented Changes Network Management Tools: a. Troubleshoot MACD failures. b. Monitor and report capacity breach status (such as license). c. Monitor health status as defined in SOP Technical Skills: - Network Components and Devices - Switches, Soft Switches, Multi-layer Switches - Routers, Bridge Routers - Wireless Access Points (WAPs), Wireless Network Interface Controller - PBX Behavioural Skills: Email Communication, Presentation, Public Speaking

Our Team: Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizations in Sanofi, globally. Main responsibilities: The Senior Statistical Programmer will work with Medical Affairs biostatisticians and/or programmers and Sanofi Business Operations biostatistics and programming personnel to implement statistical analysis plans and provide QC d data packages including tables, figures, and listings for use in publications (i.e. abstracts, posters, oral, presentations, manuscripts and ad-hoc data analysis requests) ;The Senior Statistical Programmer will develop, implement, and document non-routine macros and advanced techniques; The Senior Statistical Programmer will ensure SOPs are followed and timelines and quality are met. People: 1) Develop and maintain effective relationships and collaborations with the end stakeholders (Medical community) and local biostatistics and/or programming team members within the allocated Global business unit and product - with an objective to develop statistical data outputs. Performance / Process: 1) Conduct appropriate post-hoc statistical analyses of clinical trial data and/or registry. 2) Design, develop, test, implement, and document statistical programming in high-level software packages e.g. SAS. 3) Produce well documented data packages that include tables, listings, and figures. 4) Remain current on advanced programming methods Customer: 1) Work closely with Global Medical Affairs biostatisticians and/or programmers to identify statistical analysis needs and assist in developing assigned deliverables About you Experience : Masters degree minimum 4 years/B.Sc. minimum 6 years of relevant experience required Soft skills : Stakeholder management, Ability to manage timelines and Ability to work independently and within a team environment Technical skills : Advance SAS programming skills, SDTM & ADaM (CDISC) Education : Bachelor or Master of Science degree or equivalent in Statistics, Computer Science, Mathematics, Engineering, Life Science, or related field. Languages : Excellent English language knowledge - written and spoken

BMC is looking for a talented Python Developer to join our family working on complex and distributed software, developing, and debugging software products, implementing features, and assisting the firm in assuring product quality. To ensure youre set up for success, you will bring the following skillset & experience: Design and develop platform solution based on best practices and web standards. Participate in all aspects of product development, from requirements analysis to product release. Lead features and participate in architecture and design reviews. Design enterprise platform using agile methodology. This includes creating detailed design using UML, process flows, sequence diagrams, and pseudo-code level details ensuring solution alignment. You have strong diagnostics, debugging, and troubleshooting skills. Ability to work flexible hours and stay up to date with competing technologies and passionate about adapting technology to provide business-benefiting solutions balancing with platform limitations. Provides complete documentation in the form of commented code, problem status information, and design documents. Work on complex problems where analysis of situations or data requires an in-depth evaluation of several factors. Self-learner, flexible and able to work in a multi-tasked and dynamic environment. Excellent communication skills: demonstrated ability to explain complex technical concepts to both technical and non-technical audiences. To ensure youre set up for success, you will bring the following skillset & experience: You have 8+ years of experience with application development using Python, Java, RESTful services, high-performance, and multi-threading. Familiarization with DevOps tools and concepts such as Infrastructure as code, Jenkins, Ansible, and Terraform. You have experience in a Web based environment utilizing React, Angular, server-side rendering, HTML, CSS, JavaScript and TypeScript. You have knowledge and experience with build tools such as Gradle and Maven. Familiarity with cloud platforms (e.g., OCP, AWS, Azure, GCP). You are familiar with modern version control system such as Git. Strong knowledge of statistical analysis, data mining, and machine learning techniques. Experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch). Knowledge of SQL for data manipulation Great communication skills, ability to explain predictive analytics to non-technical audience. Proficiency in data exploration techniques and tools Familiarity with observability tools and practices. You have knowledge of design patterns, object-oriented software development, high-performance code characteristics, SOLID principles of development, testing automation and performance at scale. Whilst these are nice to have, our team can help you develop in the following skills: Experience with Agile methodology, use of Atlassian products Jira, Confluence) CI/CD (Jenkins) environment with popular DevOps tools CA-DNP

We at VIAPROM are seeking a skilled and experienced Tableau Developer to join our team within 15-20 days in Bengaluru. Candidates who are based out of Bengaluru will be preferred. The ideal candidate should have a strong background in Visualization and data storytelling. Key Responsibilities: 1. Collaborate with business stakeholders to understand their data analysis and reporting requirements. 2. Design and develop interactive and visually appealing dashboards, reports, and data visualizations using Tableau Desktop. 3. Utilize Tableau's features, including calculated fields, parameters, data blending, and advanced analytics, to create insightful and actionable visualizations. 4. Transform complex data sets into intuitive visualizations that effectively communicate key insights and trends. 5. Work closely with data engineers to extract, transform, and load data from various sources into Tableau. 6. Optimize the performance and efficiency of Tableau dashboards and reports by implementing best practices and data optimization techniques. 7. Conduct data analysis to identify trends, patterns, and anomalies within the data. 8. Collaborate with cross-functional teams to integrate Tableau dashboards and visualizations into business applications or portals. 9. Stay up-to-date with the latest Tableau features, trends, and best practices to continually enhance data visualization capabilities. 10. Provide support and training to end-users on Tableau functionality and usage. Desired Candidate Skills: 1. Proven experience as a Tableau Developer with atleast 2 years of hands-on experience. 2. In-depth knowledge of Tableau Desktop and Tableau Server, including data preparation, visualization design, and dashboard development. 3. Strong understanding of data visualization best practices, data analysis, and data storytelling. 4. Proficiency in SQL and experience with data modeling and database design. 5. Ability to gather and translate business requirements into effective Tableau visualizations. 6. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders. Educational Qualifications 1. Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2. Candidates with Tableau Desktop and/or Tableau Server certification is preferable. 3. Familiarity with statistical analysis and data mining techniques. 4. Understanding of data governance and data security best practices.

What this job involves: The Analyst will work in collaboration with Asset Managers to implement value-added strategies for JLL Real Estate Capital, LLC (JLL REC) multifamily and commercial properties while maintaining the core ethical values of JLL REC. The Analyst must demonstrate attention to detail, organization, analytical orientation, leadership, and possess the initiative to work in an independent and reliable manner. The Analyst will be relied upon by the team to analyze the financial performance of the JLL REC portfolio and provide thoughtful analysis which will be heavily utilized for JLL RECs overall risk assessment. Building positive and professional rapport with the Asset Management team, JLL Production, Agency colleagues, and Borrowers is a key component to the Analyst providing value to JLL REC through financial analysis. The Analyst, with guidance from Asset Managers and Portfolio Managers, will be expected to proactively manage risk while being available as direct support for the Asset Management team for analytics, reports, and various projects. Passion for real estate Do you live and breathe real estate financial analysis After understanding your prospects real estate needs, you will take the lead in arranging their viewing schedules, analysing the pros and cons of respective options, advising them on the best asset management strategies and seeing those strategies through to ensure maximum results. Working closely with our other brokers and analysts from various global offices, you will put together to analyze the financial performance of the JLL REC portfolio. Hunting for your next success Does new business light a fire in you We, too, are just as passionate about growing our portfolio! You will always be searching for your next deal. Youll grow and leverage your network of contacts to ensure you are at the forefront of the market. Negotiating for the best deal Are you confident in your negotiation skills You will need to perform financial analysis and conduct due diligence in order to convince your prospects of your case. Your advice can help them to make a decision between renewing or relocating and the real estate option they choose eventually. Such decisions will shape the real estate footprint of your prospects. Delivering excellent service You will attend routine meeting with the client together with the team head. You will attend ad-hoc meetings with analysts to address their concerns and to build a good rapport with them. Sound like you Energetic Individual Are you bursting with energy and ready to hit the road running Your passion in cultivating new contacts will be integral in helping the business grow its market share. A go-getter at heart, you aim to excel in this competitive office leasing space while creating an impression in the market. Inquisitive Are you interested to acquire more knowledge about the risk assessment of real estate You will expected to proactively manage risk while being available as direct support for the Asset Management team for analytics, reports and various projects. We are happy to bring on enthusiastic candidates with a flair in developing new business in other real estate asset classes such as residential, retail or industrial spaces and providing them with the opportunity to develop their career. Team player While you will be required to work independently while chasing your own leads, we work closely within the global team to service international clients. You can learn from the best brokers in the industry and pick up the market skills required to know how to manage your clients needs in the long run. Great communicator Can you put your ideas across to your clients clearly both verbally and in writing JLL is the leading real estate solutions provider therefore we pride ourselves to be able to present our proposed commercial spaces and negotiated terms clearly to the various stakeholders within our clients organization. Excellent communication skill is imperative in this case and you will need to manage your schedule well in order to juggle your existing tenants as well as sourcing for new ones. To apply you need to be: Being Analytical You will be building, maintaining, supporting and validating primary and secondary sources to be used to support our Asset Management team for analytics, reports and various projects. You will also be extracting valuable information from public data sources ranging from macroeconomic trends, industry developments, company financial information and competitor landscape. You will also be involved in data cleaning, preparation, interpretation and analysis using statistical technique and tools in Excel, Internal CRM database and other data management systems. Meticulous You must pay attention to detail and have excellent problem-solving skills. Possess the ability to collate information into cohesive presentations with proper slide layout design. Duties & responsibilities Analyze annual and quarterly financial statements for an assigned portfolio of multifamily and commercial properties in accordance with JLL REC best practices and the requirements of Fannie Mae, Freddie Mac, HUD, Life Companies and other Investors Participate in Asset Management related meetings as requested Prepare and submit assigned reporting to management and investors, as required Lead individually assigned departmental tasks Other duties as deemed necessary Qualifications You will have a Degree Diploma or relevant educational background in Real Estate, Business Administration or Accounting & Finance with min 2-5 years of working experience. You are well verse in Microsoft Office and real estate financial analysis, ability to recognize and mitigate risk, detail oriented, ability to multi-task and manage deadlines, strong customer service skills (written and verbal). Strong Microsoft Excel and Word proficiency Strong math, verbal, writing, and organizational skills Strong time management skills and ability to operate under demanding deadlines Ability to multitask and work on several transactions simultaneously Ability to recognize risk Excellent attention to detail Ability to audit own work Ability to work independently and in teams

We are seeking a talented and motivated Data Scientist to join our dynamic team. The ideal candidate will possess strong technical skills in machine learning, natural language processing (NLP), generative AI, graph neural networks, and topic modeling. You will also be adept at designing experiments to validate hypotheses and drive decision-making. Key Responsibilities: Develop and deploy scalable machine learning models to address business challenges. Utilize NLP techniques to extract insights from unstructured text data. Implement graph neural networks to analyze relational data and uncover complex patterns. Conduct topic modeling to distill key themes from large datasets. Design, implement, and analyze experiments to inform data-driven decisions. Collaborate with cross-functional teams to identify, define, and solve challenging problems. Communicate findings and recommendations to stakeholders in a clear and concise manner. Continuously stay updated with the latest advancements in data science, machine learning, and related fields. Required Qualifications and Skills: bachelors degree in computer science, Statistics, Mathematics, or a related field. Proven experience in machine learning, NLP, and generative AI. Proficiency in graph neural networks and topic modeling. Skills in deep learning architecture and training neural networks Strong programming skills in Python, R, or a similar language. Excellent analytical, problem-solving, and critical-thinking skills. Ability to communicate complex technical concepts to non-technical audiences. Preferred Qualifications and Skills: Masters or Ph.D. in a relevant field bachelors from reputed college with keen desire to learn Experience in the design of experiments and statistical analysis. Knowledge of cloud platforms (eg, AWS, Google Cloud, Azure). Strong project management and organizational skills. Languages : English.

The Senior Associate will be involved in endtoend software development lifecycle from ideation till implementation to own the product and the responsible for all the below mentioned points. Resource for functional team of taxtechnology practice Understand requirements from stakeholders and translate into functional requirement document Discuss functional requirements with development team Prepare test checklist test cases for functional testing Undertake functional testing and submit test reports Prepare user manuals Conduct application demos Undertake user trainings Support users in timely issues resolution Regularly monitor the changes (regulatory or otherwise) and analyze its impact on application Mandatory skill sets Competency in MS office with excellent skills in excel Good documentation skills Ability to work in a fastpaced environment with minimal supervision Critical thinker and problemsolving skills Team player Good timemanagement skills Preferred skill sets Great interpersonal and communication skills Ability to handle multiple tasks simultaneously Sense of ownership and pride in performance and its impact on the company s success Education Qualification BE/ B.tech MBA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Functional Classification Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Scenario Planning, SelfAwareness, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research

The Senior Associate will be involved in endtoend software development lifecycle from ideation till implementation to own the product and the responsible for all the below mentioned points. Resource for functional team of taxtechnology practice Understand requirements from stakeholders and translate into functional requirement document Discuss functional requirements with development team Prepare test checklist test cases for functional testing Undertake functional testing and submit test reports Prepare user manuals Conduct application demos Undertake user trainings Support users in timely issues resolution Regularly monitor the changes (regulatory or otherwise) and analyze its impact on application Mandatory skill sets Competency in MS office with excellent skills in excel Good documentation skills Ability to work in a fastpaced environment with minimal supervision Critical thinker and problemsolving skills Team player Good timemanagement skills Preferred skill sets Great interpersonal and communication skills Ability to handle multiple tasks simultaneously Sense of ownership and pride in performance and its impact on the company s success Education Qualification BE/ B.tech MBA Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration Degrees/Field of Study preferred Required Skills Functional Specifications Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Communication, Corporate Tax Planning, Creativity, Data Analytics, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Intellectual Curiosity, Learning Agility, Optimism, Scenario Planning, SelfAwareness, Statistical Analysis, Statistical Theory, Tax Compliance, Tax Efficiency, Tax Modeling, Tax Preparation, Tax Research

-Responsible for all statistical programming/data review reporting and analytics development aspects of several studies, a medium to large sized project or project-level activities. Acts as a key collaborator and strategic partner in ensuring that drug-development plans are executed efficiently with timely and high quality deliverables. Complies with project / study standards and specifications following internal and regulatory guidelines. Oversees programming style, quality of statistical reporting compliance with timelines. About the Role Major accountabilities: Lead statistical programming activities for several studies or drive the implementation of data analytics reports -Make decisions and propose strategies at study or project level. May act as functional manager for local associates including providing supervision and advice on functional expertise and processes. Build and maintain effective working relationship with cross-functional teams, able to summarize and discuss status of deliverables and critical aspects (timelines, scope, resource plan), eg as representative in study or project-level team. Ensure project-level standardization -Provide and implement programming solutions; ensure knowledge sharing. Act as expert in problem-solving aspects. Ensure timely and quality development and validation of datasets and outputs for regulatory submissions/interactions, safety reports, publications, post-marketing activities etc -Leads/co leads novel projects within the team -Generates innovative ideas within own team and /or project team /functional community -Recognizes and leverages innovation opportunities for own team across projects -Mentors and inspires others to solve problems -Reporting of technical complaints / adverse events / special case scenarios related to Novartis products within 24 hours of receipt -Distribution of marketing samples (where applicable) Key performance indicators: Achieve high level of quality, timeliness, cost efficiency and customer satisfaction across functional activities and deliverables. Adherence to Novartis policy and guidelines -Customer / partner feedback and satisfaction Minimum Requirements: Work Experience: Biostatistics. Clinical Research Phases. RD Portfolio Management. Statistical Programming. Data Management Systems. Regulatory Submissions. Innovative Analytical Technologies. Clinical Trial Design, Data Review Reporting. Skills: Classification Systems. Clinical Trials. Computer Data Storage. Computer Programming. Cross-Functional Teams. Data Analysis. Data Structures. Initiative. Programming Languages. Reporting. Statistical Analysis. Languages : English.

In-process quality inspection & Process performance monitoring of Ceiling FAN. In-process Quality Performance, Process Validation, Error Proofing Controls. Responsible for ensuring product quality at supplier end by PDI as per inspection plan. Product testing & validation for ensuring quality and reliability. Driving quality initiatives at vendor end like Project Delight, quality circle, improvement projects based on data analysis. New part development process monitoring & Pilot batch inspection and clearance. Continuous Monitoring of data by statical analysis & driving improvement at process stage. Vendor assessment & upgradation. Supplier development for fans (Top end shield/Bottom End shield) as per framework

Job Description Responsibilities: Gather and manage data from various sources related to inventory and supply chain. Develop and implement statistical models and techniques to solve complex problems. Apply statistical methodologies to analyze inventory data and identify trends and patterns. Develop predictive models to forecast inventory needs based on historical data and market trends. Review current safety stock models and Inventory Optimization Models and suggest other techniques that are available with use cases Utilize inventory management software and statistical tools (e.g., R, SAS, SPSS) to track and analyze data. Interpret and present data findings to stakeholders through reports and presentations. Collaborate with cross-functional teams to provide statistical insights and recommendations. Qualifications REQUIRED Masters degree in Statistics, Mathematics, Economics, Supply Chain or a related field. Proven experience in statistical analysis and data interpretation in areas specific to Saf

ML Engineer Experience: 0 - 2 Years Exp Salary : INR 10-12 Lacs per annum Preferred Notice Period : Within 30 Days Shift : 10:00AM to 7:00PM IST Opportunity Type: Remote Placement Type: Permanent (*Note: This is a requirement for one of Uplers' Clients) Must have skills required : Python, Algorithms, Cnn, Data Structures, Machine Learning, Ml frameworks, Statistical analysis Good to have skills : Start-up Experience Leegality (One of Uplers' Clients) is Looking for: ML Engineer who is passionate about their work, eager to learn and grow, and who is committed to delivering exceptional results. If you are a team player, with a positive attitude and a desire to make a difference, then we want to hear from you. Role Overview Description What you'll do As an ML Engineer, you will develop solutions to interesting technical problems, explore exciting growth opportunities, and have a real impact on our product. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role. A first-class machine learning engineer will be someone whose expertise translates into the enhanced performance of predictive automation software. Requirements - Responsibilities: Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Transforming data science prototypes and applying appropriate ML algorithms and tools. Solving complex problems with multi-layered data sets and optimizing existing machine learning libraries and frameworks. Developing ML algorithms to analyze huge volumes of historical data to make predictions. Running tests, performing statistical analysis, and interpreting test results. Exposure to generative AI (LLM) based ML architectures Experienced in working with CNN. Knows how to train and fine-tune CNN-based models. Documenting machine learning processes. Requirements: 1+ years of relevant experience in Machine Learning Engineering. Advanced proficiency with Python. Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Superb analytical and problem-solving abilities. Great communication and collaboration skills. Preferences: Start-up experience is good to have. Willing to join immediately, ideally. Female candidates are preferred Interview Process - Technical Round 1 Assessment Technical Round 2 Round 3 - with the Tech Lead How to apply for this opportunity: Easy 3-Step Process: 1. Click On Apply! And Register or log in on our portal 2. Upload updated Resume & Complete the Screening Form 3. Increase your chances to get shortlisted & meet the client for the Interview! About Our Client: Leegality is a category defining company. With Leegality, Indian businesses can remove the paper from their paperwork About Uplers: Our goal is to make hiring and getting hired reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant product and engineering job opportunities and progress in their career. (Note: There are many more opportunities apart from this on the portal.) So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

we're hiring a Staff Scientist for Uber s Direct, Connect, and Grocery Delivery team three of the company s fastest-growing business lines redefining the future of on-demand logistics. From retail returns and prescription deliveries to nationwide shipments and grocery fulfillment, this team empowers customers to get anything delivered, anytime. In this role, you'll lead the scientific strategy to create a best-in-class user experience across Uber s delivery platforms. you'll drive both merchant and consumer growth through funnel analysis, user targeting, promotion optimization, and SKU-level insights ensuring every decision is grounded in rigorous, data-driven thinking. we're looking for someone with deep analytical expertise and a strong business mindset an individual who can translate complex data into clear, actionable insights and help shape the strategic direction of our products. What you'll Do: Serve as Science Tech Lead (IC) for a team based in India, supporting Uber s Direct, Connect, and Grocery Delivery business. Apply advanced analytics, including statistical modeling, and causal inference, to improve delivery experiences. Translate complex data into actionable insights for executives and cross-functional stakeholders. Collaborate with Product, Engineering, and Ops to drive a data-informed product roadmap. Mentor scientists and promote best practices in data science and machine learning. Foster a culture of scientific rigor and strong cross-functional collaboration. What you'll Need: Undergraduate and/or graduate degree in Statistics, Machine Learning, Operations Research, or other quantitative fields. 9+ years of industry experience as an (Applied / Data) Scientist or equivalent. Experience with exploratory data analysis, statistical analysis and testing, causal analysis and ML model development. Experience in experimental design and analysis. Proficiency using Python, Spark at scale with large data sets. Experience with tools like SQL, R in a production environment.

About the job Enovix (Nasdaq: ENVX) is an advanced silicon battery company based in Fremont, Calif. Enovix is on a mission to power the technologies of the future. Everything from IoT, mobile and computing devices, to the vehicle you drive, needs a better battery. Our disruptive architecture enables a battery with high energy density and capacity without compromising safety. We are scaling our silicon-anode, lithium-ion battery manufacturing capabilities to meet customer demand. Responsibilities: Lead process development to improve battery performance to meet final product performance and reliability requirements. Design and run well-designed experiments based on DOE methodologies. Perform battery physical characteristic analysis and extract critical insights. Effectively collaborate with colleagues around the world - in California, India, Korea and Malaysia. Perform FMEA and root cause analysis. Effectively communicate the results to various stakeholders. Qualifications: BS, MS, or PhD in Chemical Engineering, Materials Science Engineering, Physics, Chemistry, Mechanical Engineering or related field with 2+ years industry experience. Strong knowledge of battery chemistry and physics is desirable. Experience working with battery testers or related electronics is a plus. Experience with using leading-edge battery and/or semiconductor material characterization techniques to drive failure analysis, understand degradation mechanisms, or improve yield. Experience with statistical analysis methods to drive experiment design and conclusions. Demonstrated capability to effectively analyze process data and extract/summarize meaningful information. Familiarity with SPC, DOE, FMEA and 8D methodologies. Enovix is an equal opportunity employer

As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with applied scientist to integrate and build data pipeline as necessary for building and training machine learning models in AEE Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers - 3+ years of data engineering experience - 4+ years of SQL experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

As the Lead Data Scientist at Siemens Advanta, you will play a pivotal role in driving data-driven decision-making and leading the development and implementation of advanced analytical models. You will work closely with cross-functional teams to identify business challenges, design data-driven solutions, and provide actionable insights to optimize processes and drive innovation. We are looking for: Lead AI Engineer Youll make a difference by: Lead and manage a team of data scientists, providing guidance, mentorship, and technical expertise. Collaborate with stakeholders to understand business objectives and develop data science strategies aligned with those objectives. Design, develop, and implement advanced machine learning and statistical models to solve complex business problems. Conduct exploratory data analysis, data cleansing, and feature engineering to prepare datasets for analysis. Explore and utilize various data mining and machine learning techniques to extract valuable insights and patterns from large datasets. Develop predictive/prescriptive models, algorithms, and prototypes to support business. Should have working knowledge of handling IOT and IIOT data and handling traditional use cases like anomaly detection for a multi-sensor system. Should have hands-on experience in Forecasting using traditional ML and Deep Networks Perform statistical analysis, hypothesis testing, and A/B testing to evaluate the effectiveness of models and algorithms. Communicate findings and insights to technical and non-technical stakeholders through reports, presentations, and data visualizations. Should understand CI/CD processes in product deployment and used it in delivery. Should have an understanding of the Dockerization, REST APIs Working knowledge on software development processes. Stay up to date with the latest trends and advancements in data science, machine learning, and AI technologies and identify opportunities to apply them to improve business outcomes. Youll win us over by 8+ years of experience in data science and/or data analysis with a proven track record of developing ML models and algorithms. A masters or Ph.D. degree in Data Science, Computer Science, Statistics, or a related field Strong programming skills in languages such as Python, R, or C++. Exposure to the industrial engineering domain is preferred. Knowledge of big data technologies such as Hadoop, Spark, or Hive is a plus. Proficient in the use of data science tools Excellent analytical/statistical skills. Proactive and willing to learn new technologies. Excellent verbal, written and presentation skills.

Job Title: Data Analyst Experience: 5 8 Years Location: Bangalore (BLR) Notice Period: Immediate to 15 Days Job Summary: We are looking for a seasoned Data Analyst with 5–8 years of professional experience to join our analytics team in Bangalore. The ideal candidate will have strong technical expertise in SQL, Python, data visualization tools, and statistical analysis. You will play a crucial role in uncovering insights that drive strategic business decisions. Key Responsibilities: Analyze complex datasets to extract actionable insights aligned with business objectives. Build, optimize, and maintain dashboards and reports using BI tools. Write complex SQL queries for data extraction, transformation, and reporting. Apply statistical techniques to identify trends, patterns, and anomalies. Collaborate with product managers, engineers, and other stakeholders to define metrics and KPIs. Automate data workflows and streamline reporting processes. Present findings and recommendations to senior leadership in a clear and concise manner. Mandatory Technical Skills: SkillDescription SQL Advanced query writing, joins, aggregations, window functions Python Data manipulation with Pandas, NumPy; basic scripting; data visualization Data Visualization Hands-on with Power BI , Tableau , or LookerExcel Advanced functions (VLOOKUP, pivot tables, macros) Statistics Hypothesis testing, regression, forecasting ETL/Data Pipelines Understanding of data ingestion and transformation processes Cloud (Preferred) Basic knowledge of AWS/GCP/Azure data services Preferred/Bonus Skills: R for statistical computing Experience with big data tools (Spark, Hive) Exposure to A/B testing and predictive modeling Familiarity with data warehousing concepts and tools like Snowflake or Redshift Experience working with version control (Git) and Agile methodologies

We are looking for a skilled professional with 8 to 12 years of experience to join our team as an Assistant Director/Manager - Service Excellence in Bengaluru. The ideal candidate will have a strong background in problem-solving and driving change through technology. ### Roles and Responsibility Develop and implement process improvements to enhance service excellence and efficiency. Manage business stakeholders across different levels, building strong relationships and ensuring seamless project delivery. Conduct assessments of current processes to identify improvement and automation opportunities, creating an automation and transformation roadmap. Collaborate with various functions to ensure system solutions meet functional requirements. Present data, share analysis, and gain stakeholder concurrence on actions for assigned processes. Set up lagged and leading indicators for measurement within the system, building and driving calibration models to standardize onshore and offshore processes. Demonstrate skills in data cleansing, data quality assessment, and using analytics for data assessment. Participate in continuous improvement initiatives (KAIZEN) and other quality-related initiatives to spread quality awareness. Deploy consulting best practices, knowledge, and techniques when undertaking work. Perform rapid assessments of client landscapes, providing insights around hypotheses and solutions. ### Job Requirements Strong experience in problem-solving and driving change through technology. Total experience between 8-12 years, including managing or supporting workstreams/project initiatives in large-scale transformation projects. Knowledge of Business Process Re-Engineering, Six-sigma concepts of DMAIC, Project Management, and all related tools. Experience in mentoring and implementing projects, along with expertise in creating, reviewing, and closing projects. Well-versed with contemporary technologies such as RPA, Machine learning, Artificial Intelligence, and Analytics. Experience in process due diligence and diagnostics, building solutions, and restructuring processes. Assertive, strong orientation towards statistical analysis, good team player, and willingness to lead teams not reporting into them. Ability to set up metrics for measurement in the system and build and drive calibration models. Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment. Should have taken part in Continuous improvement initiatives (KAIZEN) and other Quality-related initiatives to spread quality awareness. Excellent communication skills, result-oriented, self-driven person with a high energy level, analytical and structured with extensive experience in managing a high-performance team. Knowledge of statistical tools. Knowledge of data science and exposure to decision science projects. Knowledge of business analytics tools like Tableau, PowerBI, or similar tools. Exposure to agile framework. Exposure to Design Thinking framework. Exposure to latest AI/Gen AI tools. Implement visualization concepts. Expertise in building reports and deriving intelligence from them.

Looking to onboard a skilled Reporting & Analytics Lead with 15 to 20 years of experience to oversee the data and analytics operations within our Unified Support Services (USS) Function. The ideal candidate will have a strong background in data management, analytics methodologies, and the ability to translate complex data into actionable business strategies. ### Roles and Responsibility Develop and implement a comprehensive data and analytics strategy aligned with the USS objectives. Lead and manage a team of data analysts, data scientists, and other data professionals, providing guidance and mentorship. Oversee the collection, storage, management, quality, and protection of data. Drive the adoption of analytics tools and data-driven decision-making across the organization. Collaborate with IT and business stakeholders to ensure seamless integration of data systems and analytics solutions. Design and monitor key performance indicators (KPIs) to measure the effectiveness of data and analytics initiatives. ### Job Requirements Proven leadership experience in a data and analytics role. Strong understanding of data management principles, data architecture, and analytics platforms. Expertise in statistical analysis, predictive modeling, and data visualization techniques. Excellent communication, collaboration, and project management skills. Ability to lead and inspire a team in a fast-paced and evolving environment. Over 15 years of experience in IT support services, with significant leadership experience in managing large-scale operations. Strong understanding of ITIL service management frameworks with relevant certifications. Demonstrated experience in driving service improvement and innovation in a complex, multinational organization. Excellent communication, negotiation, and interpersonal skills, with the ability to engage effectively with all levels of the organization and external partners. Strategic and analytical thinker with robust problem-solving skills. Demonstrates an in-depth knowledge of how IT reporting & analytics solutions support customer fulfillment and productivity to achieve short- and long-term business goals Applies a deep understanding of Service desk and Onsite support services needs to identify critical outcomes, barriers to success, and changes in expectations or scope Ability to build and maintain relationships with key leadership, building business acumen and linking business needs Ability to defuse difficult conversations while maintaining confidence, transparency and trust Uses in-depth knowledge of business/clients/industry, professional organizations, market trends and legislation to identify key issues and trends and make recommendations Possess innovative mindset by being open to new ideas and promoting team members to think differently

The RPA Developer will play a crucial role in designing, developing, and deploying machine learning models and RPA solutions to address complex business challenges and opportunities. This position requires a deep understanding of financial systems, accounting, and planning processes, as well as strong analytical and problem-solving skills. The RPA Developer will collaborate with cross-functional teams to identify automation opportunities, optimize business processes, and deliver data-driven solutions that enhance operational efficiency and reduce manual errors. Responsibilities: Design, develop, and deploy machine learning models to address business challenges and opportunities. Implement RPA solutions to automate repetitive tasks, improve operational efficiency, and reduce manual errors. Collaborate with cross-functional teams to understand business requirements, identify opportunities for automation and optimization, and deliver data-driven solutions. Understand organization technological capabilities to identify opportunities to optimize functionality across teams. Participate in special projects involving the enhancement and upgrade of financial systems as well as integrations related to business combinations and new application implementations, which includes strategic development of technology enhancements, end user support, system troubleshooting, testing, and training activities, all aimed at business process and system optimization. Provide training and support to end-users to facilitate self-service integration capabilities. Work closely with local and global IT, local and global Process Owners and other support teams that maintain data or monitor system accessibility to end users. Conduct thorough End to End testing of automated solutions to identify and rectify any errors or inefficiencies. Maintain proper documentation for automated solutions, test procedures, and scenarios. Regularly assess and enhance existing automation processes to optimize efficiency and adapt to evolving business requirements. Develop and maintain a robust RPA governance framework to ensure compliance with organizational policies and standards. Ensure the scalability and reliability of RPA solutions to support business growth and transformation. PowerBI and other report automation Knowledge of Power Automate Familiar with IQ Bot with Automation Anywhere. Stay up-to-date with the latest industry trends and technologies Required Qualifications: Bachelors degree in Computer Science or a related field. Hands-on experience with Robotic Process Automation (RPA) tools such as Automation Anywhere. Solid understanding of machine learning algorithms, statistical analysis, and data manipulation techniques. Understands different RPA tool capabilities to solve problems during development and deployment. Exposure to financial systems and understanding of financial processes. Proficiency in SQL and database management. Excellent problem-solving skills, attention to detail, and ability to work effectively in a collaborative team environment. Strong communication and interpersonal skills, with the ability to present complex technical concepts to non-technical stakeholders. Preferred Qualifications: Experience with other automation tools and frameworks. Certification in RPA, Snowflake, MySQL or Power BI. Prior experience with Oracle Fusion ERP Cloud Application. Knowledge of security and compliance standards related to financial and healthcare data is desirable.

Developing, optimising and improving manufacturing processes to enhance productivity, quality and safety. Identifying and implementing process improvements to reduce costs, minimise waste and increase efficiency. Collaborating with cross-functional teams to ensure smooth integration of new processes, technologies and equipment. Monitoring and analysing process data, identifying trends and proposing solutions for process improvement continuously. Performing process capability studies, statistical analysis and data-driven decision-making to achieve operational excellence and meet production targets. Ensuring compliance with safety, environmental and regulatory requirements in all process engineering activities. Required Skill Set / Keywords : API/ Intermediate and Multi product manufacturing Candidates Location: Gujrat, Maharashtra

The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help drive business decisions. They should have strong analytical skills, proficiency in data visualization tools, and the ability to communicate insights effectively. Collect, clean, and analyze large datasets to identify trends and insights. Develop and maintain dashboards and reports using tools like Power BI, Tableau, or Excel. Work closely with different teams to understand data requirements and provide actionable insights. Perform statistical analysis and predictive modeling to support business strategies. Ensure data accuracy, consistency, and security in compliance with company policies. Present findings and recommendations to stakeholders in a clear and meaningful way. Basic knowledge of Python Strong proficiency in SQL, Excel, and data visualization tools (Power BI/Tableau). Experience with Python or R for data analysis (preferred). Strong analytical and problem-solving skills. Ability to communicate insights effectively to both technical and non-technical stakeholders. Knowledge of data cleaning, transformation, and reporting best practices. Education- Bachelor's degree in Statistics, Mathematics, Computer Science, Business Analytics, or a related field.

A Data and Machine Learning Specialist is responsible for managing, analyzing, and leveraging data to drive business insights and develop predictive models. This role combines elements of data science, data engineering, data management, and machine learning to ensure data-driven decision-making and innovation. Responsibilities: Data Collection & Management: Gather, clean, and organize data from various sources to ensure its accuracy and accessibility. Data Analysis: Utilize statistical methods and machine learning tools to analyze data and uncover trends and patterns. Pipeline Development: Design and maintain efficient data pipelines and architectures to facilitate seamless data flow. Model Development: Create, test, and optimize machine learning models and algorithms to solve complex problems. Reporting & Visualization: Present findings through detailed reports and visualizations to communicate insights effectively. Collaboration: Work closely with cross-functional teams, including software engineers, data scientists, and business analysts, to implement data-driven solutions. Performance Optimization: Continuously improve data delivery, scalability, and model performance. Documentation: Maintain thorough documentation of processes, models, and results. Requirements: Bachelors or equivalent degree with over 5+ years of experience and proficiency in programming languages such as Python, SQL. Strong knowledge of cloud platforms like AWS, Google Cloud, or Microsoft Azure. Experience with data visualization tools and techniques. Solid understanding of machine learning algorithms and statistical analysis. Excellent problem-solving skills and attention to detail. Ability to collaborate effectively with diverse teams.