data architect

Zenoti

<div>
 Zenoti provides an all-in-one, cloud-based software solution for the beauty and wellness industry. Our solution allows users to seamlessly manage every aspect of the business in a comprehensive mobile solution: online appointment bookings, POS, CRM, employee management, inventory management, built-in marketing programs and more. Zenoti helps clients streamline their systems and reduce costs, while simultaneously improving customer retention and spending. Our platform is engineered for reliability and scale and harnesses the power of enterprise-level technology for businesses of all sizes
 
 
 Zenoti powers more than 30,000 salons, spas, medspas and fitness studios in over 50 countries. This includes a vast portfolio of global brands, such as European Wax Center, Hand &amp; Stone, Massage Heights, Rush Hair &amp; Beauty, Sono Bello, Profile by Sanford, Hair Cuttery, CorePower Yoga and TONI&amp;GUY.
 
 
 Our recent accomplishments include surpassing a $1 billion unicorn valuation, being named Next Tech Titan by GeekWire, raising an $80 million investment from TPG, ranking as the 316th fastest-growing company in North America on Deloitte&rsquo;s 2020 Technology Fast 500&trade;. We are also proud to be recognized as a Great Place to Work CertifiedTM for 2021-2022 as this reaffirms our commitment to empowering people to feel good and find their greatness. To learn more about Zenoti visit: https://www.zenoti.com
 
 
 
 What's the Opportunity?
 
 
 
 We're looking for a
 
 Senior Software Engineer (Python/AWS)
 
 to join our innovative team! This is a fantastic chance to make a significant impact by designing and building highly scalable and reliable software systems on AWS. You'll be working on services that make Zenoti a go-to SaaS provider for the beauty, wellness and fitness industry. If you're passionate about elegant software design, cloud-native solutions, and embracing AI-powered development tools like Cursor IDE and GitHub Copilot to boost your productivity, this role is for you!
 
 
 
 What will I be doing?
 
 
 
 As a Senior Software Engineer, you'll be a key player in our engineering lifecycle. You'll:
 
 
 <ul>
 <li>
 Design and architect robust, scalable, and maintainable software systems, translating business needs into technical designs.
 </li>
 <li>
 Build with Python: Write, test, and deploy high-quality Python code for our production systems, focusing on clean, efficient, and well-documented solutions.
 </li>
 <li>
 Leverage AWS: Work hands-on with various AWS services (e.g., EC2, S3, Lambda, API Gateway, DynamoDB, RDS) to build and manage our cloud infrastructure.
 </li>
 <li>
 Boost productivity with AI Tools: Actively utilize AI-powered development tools like Cursor IDE, GitHub Copilot, and other intelligent assistants to accelerate development and improve code quality.
 </li>
 <li>
 Optimize and troubleshoot: Identify and resolve complex technical challenges, optimize system performance, and ensure the overall health of our applications.
 </li>
 <li>
 Collaborate: Work closely with product managers and fellow engineers in an Agile environment, contributing to our collective growth.
 
 
 </li>
 </ul>
 
 What skills do I need?
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science or IT,
 </li>
 <li>
 4 to 6 years of overall experience as an AI Engineer or Data Scientist.
 </li>
 <li>
 Having minimum of 4 years experience in Python and AWS.
 </li>
 <li>
 Exposure in designing and building scalable solutions using Cloud technologies.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Attractive Compensation
 </li>
 <li>
 Comprehensive medical coverage for yourself and your immediate family
 </li>
 <li>
 An environment where wellbeing is high on priority &ndash; access to regular yoga, meditation, breathwork, nutrition counseling, stress management, inclusion of family for most benefit awareness building sessions
 </li>
 <li>
 Opportunities to be a part of a community and give back: Social activities are part of our culture; You can look forward to regular engagement, social work, community give-back initiatives"
 
 
 </li>
 </ul>
 
 Zenoti provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
 
 
 This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
 
</div>

Senior Software Engineer - Python/AWS

Microsoft

<div>
 
 Overview
 
 
 
 Overview:
 
 
 The role of the Lease Construction Manager (LCM) requires interpersonal, communication, organizational skills,
 
 
 ability to self-direct, background in datacenter design, engineering, controls, operational requirements,
 
 
 managing teams and vendors, and an emphasis on project/construction management.
 
 
 The Lease Construction Manager is ultimately responsible for the complete project delivery of Ready for Service
 
 
 (RFS) for each lease site location. The LCM is responsible for ensuring that each project meets the Data Center
 
 
 Development (DCD) guidelines and standards, which may be adjusted from time-to-time based on best practices
 
 
 and Lesson Learned drawn from previous projects as well as industry changing best practice. In addition, LCM
 
 
 will be responsible for ensuring that the lease provider is complying with the Microsoft requirements in the
 
 
 lease contract when delivering a project.
 
 
 The LCM will coordinate with Microsoft&rsquo;s Subject Matter Experts (SME) and stakeholders to support the efforts
 
 
 of achieving RFS for each lease datacenter sites. The LCM will manage the deliveries of projects from lease execution through RFS. In managing the delivery of projects, this position aligns team objectives, business processes, vendor management strategies, and cross-group collaboration efforts with the Data Center Development Project Strategy. The LCM will be a relentless advocate for managing a safe worksite. Safety is one of the four pillars of CO+I&rsquo;s mission in delivering cloud capacity; joined by Quality, Schedule adherence, and Cost Management. In addition, this position will be responsible in reviewing potential lease sites providing preconstruction expertise and assisting site selection teams in providing feedback on lease provider&rsquo;s qualifications. LCM will work closely to support the Datacenter Integration Managers (DCI-ITIM) across regions and their respective local sites.
 
 
 
 Responsibilities
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 The LCM will be a relentless advocate for managing a safe worksite.
 </li>
 <li>
 The LCM will be responsible for identifying and managing stakeholder dependencies and construction deliverables and handoffs with the following Microsoft teams: E2E (End-to-End), Security (DCPS), Data Center Engineering (DCE), Data Center Operations (DC Ops), Site Selection and Acquisition (SSA), Environmental Health &amp; Safety (EHS).
 </li>
 <li>
 The LCM will manage lease providers and support associated teams &amp; partners in the delivering RFS &ldquo;Ready for Service&rdquo;
 </li>
 <li>
 This position will require travel up to 50% of the time to datacenter sites
 </li>
 <li>
 Manage &amp; support vendor contracts
 </li>
 <li>
 The LCM will be responsible for ensuring regional goals of delivering capacity are aligned to business OKRs
 </li>
 <li>
 Identify and track Key Performance Indicator (KPI) to help with improvement in delivery of RFS. Provide feedback and insight to leadership on areas of improvement
 
 
 </li>
 </ul>
 Budget and Controls
 
 
 Monitors the approved project budget, provides oversight, and suggests necessary adjustments for project controls (e.g., Project Expenditure Request (PERs), Professional Services Request (PSRs), Change Orders, Pay Applications, etc.).
 
 
 Change Management
 
 
 Partners with the Internal Cloud Operations + Innovation (CO+I) and other Microsoft key stakeholders (e.g., Commercial Software Engineering [CSE], and Real Estate &amp; Facilities [RE&amp;F], etc.) and shares updated process flow information with the project team to ensure new processes are being followed that increase program cost savings and improve overall cycle-time and efficiencies.
 
 
 Coordination
 
 
 Attends and advises during scheduled owner/architect/contractor and other project meetings.
 
 
 Drives Results
 
 
 Facilitates the delivery of metro-based/campus projects (e.g., new construction and/or retrofits) by making timely data-based decisions in partnership with the local project team and key stakeholders. Champions team and project goals, adhering to business processes, engaging vendor relationships when/where applicable, and fostering positive cross-group collaboration efforts aligned to the program strategy and milestones.
 
 
 Financial Acumen
 
 
 Creates and applies best practices to identify and incorporate cost-effective solutions for the strategic and tactical delivery of a construction project. Applies influence, strategy, and decision-making to drive solutions, schedules, and manages change with clients, sponsors, and vendors.
 
 
 Goal Alignment
 
 
 Collaborates and contributes needed technical knowledge to internal teams (e.g., Engineering, Operations, Center for International Social Science Research [CISSR], Commercial Software Engineering [CSE], Legal, Project Controls, etc.) and General Contractors/Subcontractors to maintain the corporate vision and goals for the project.
 
 
 Managing Resources
 
 
 Oversees timely execution of all procurement activities associated with resourcing and materials necessary for delivering program(s) on time and within project budget forecasts. Evaluates resources and ensures adequate staffing and materials for job completion.
 
 
 Project Management
 
 
 Drives campus-based delivery solutions (e.g., new or retrofit data center facilities). Analyzes technical information and provides recommendations to support solutions. Assists campus teams in establishing goals for project teams, assigning responsibilities, measuring performance, and seeking and delivering feedback to achieve timely results.
 
 
 Project Tracking
 
 
 Assists with creating and reporting on project progress regarding scope, schedule, standards, and budget.
 
 
 Risk Mitigation
 
 
 Communicates risk mitigation goals and develops metrics, dashboards and/or scorecards to track, communicate, and drive progress. Suggests actions to support organizational and national safety goals.
 
 
 Safety and Regulation
 
 
 Represents Microsoft as a safety leader and advocate on all Campus/Metro construction programs, ensuring adherence to safety standards and regulatory requirements (e.g., Occupational Safety and Health Administration [OSHA], or equivalent) to ensure compliance and aggressive management of risk. Conducts routine safety program, project, and contractor audits, and performs and participates in incident investigations.
 
 
 Technical Acumen
 
 
 Reviews engineering documentation/designs, site, and building plans by examining and analyzing technical information. Identifies potential risks/gaps and provides recommendations to project teams that mitigate risk, and improve overall constructability. Aligns project/program delivery with execution procedures and standards, and ensures alignment with organizational standards and commitments.
 
 
 Vendor Management
 
 
 Advises and monitors the performance of vendors and/or contractors, ensuring compliance with contracts and prior audit results. Reviews vendor performance relative to cash flow and budget summaries (with the cost management team) and clarifies those reports in presentations to the delivery and executive teams.
 
 
 Vendor Selection
 
 
 Reviews and approves vendor scope of work, design review of site and building plans, pay-application, and invoices.
 
 
 Embody our Culture &amp; Values Culture | Microsoft Careers
 
 
 
 Qualifications
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 (Bachelor's Degree in Construction Project Management, Engineering, or related field AND 10+ years related experience (OR equivalent experience).
 </li>
 <li>
 5+ years in construction project management of Datacenters or Mission Critical Facilities
 </li>
 <li>
 Self-starter with demonstrated ability to manage multiple priorities, projects, and deadlines simultaneously
 </li>
 <li>
 Experience managing large scale enterprise projects with both localized and virtual teams.
 </li>
 <li>
 Cross-group collaborator and influencer across teams and organizations with proven success in participating in cross-functional teams to deliver on key projects.
 </li>
 <li>
 Must be able to work within a dynamic team of full-time employees and consultants
 </li>
 <li>
 High personal standard to deliver a thoughtful, polished and quality work product.
 
 
 </li>
 </ul>
 #COICareers and #EPCCareers
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Lease Construction Project Manager

PepsiCo

<div>
 
 Overview
 
 
 
 The Data Science Senior Analyst (Lead Data Scientist) is part of the Data Impact Benelux team. This team is responsible for supporting the Benelux commercial data strategy and ecosystem through developing and implementing advanced analytics solution and a comprehensive business intelligence roadmap. The team works closely with the marketing &amp; commercial ecosystem to ensure all commercial data are leveraged in the most optimal way.
 
 
 
 Responsibilities
 
 
 
 As the lead data scientist, this individual will be responsible for development and deployment of data science modeling frameworks using Statistical modeling (Machine Learning as appropriate) for sDNA and cDNA for BENLUX markets e.g., prediction of store potential, store segmentation, assortment optimization, asset deployment, audience profiling, etc.
 
 
 The position exists to unlock competitive advantage in go-to-market and execution through cutting edge data science, advanced analytics, and AI techniques, with a focus on OT, TT and AFH for BENLUX. The focus of this role is ensuring the successful implementation of data science solutions that deliver. The role holder will also leverage best practice to help to establish a reusable data science ecosystem.
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or advanced degree in a quantitative field for instance a Master&rsquo;s degree or PhD in data science or math (e.g., Computer Science, Mathematics, Statistics, Data Science) or equivalent experience
 </li>
 <li>
 7 years + of relevant advanced analytics experience in Marketing or Commercial in either Retail, or CPG industries. Other B2C domains can be considered
 </li>
 <li>
 Proven experience with medium to large size data science projects
 </li>
 <li>
 Advanced knowledge of key data science techniques:
 </li>
 <ul>
 <li>
 Combining data from multiple sources through APIs, Semantic Web, etc.
 </li>
 <li>
 Data preparation and feature engineering
 </li>
 <li>
 Supervised / Unsupervised learning
 </li>
 <li>
 Collaborative Filtering
 </li>
 <li>
 Location Analytics &amp; Intelligence
 </li>
 </ul>
 <li>
 Proficiency in programming languages such as Python, R, or SQL.
 </li>
 <li>
 Good to have experience with data processing frameworks (e.g., Hadoop, Spark)
 </li>
 <li>
 Good to have understanding of data engineering principles, data integration, and ETL processes.
 </li>
 <li>
 Excellent problem-solving skills and the ability to translate business needs into data-driven solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Sales Analyst

Procter & Gamble

<div>
 
 Job Location
 
 
 
 HYDERABAD OFFICE APAC
 
 
 
 Job Description
 
 
 
 Procter &amp; Gamble is one of the largest FMCG (Fast Moving Consumer Goods) company in the world with strong brands like Pampers, Ariel, Always, Gillette and Oral B just to name a few. For more information about P&amp;G the company and our brands please visit www.pg.com and our career website at pgcareers.com
 
 
 
 Are
 
 
 you
 
 
 ready
 
 
 to
 
 
 unleash
 
 
 your
 
 
 technical
 
 
 creativity?
 
 
 
 Innovation is the driving effort behind everything we do at P&amp;G. Across the world, you will find thousands of scientists, engineers and developers working in manufacturing plants, innovation centers and distribution facilities.
 
 
 
 Overview Of The Job
 
 
 
 This role reports to IT Director and will be located in India with the broader Data Engineering Team.
 
 
 
 Your team
 
 
 
 
 About The Data Solutions &amp; Engineering Team
 
 
 
 We take pride in managing the most-valuable asset of company in Digital World, called Data. Our vision is to deliver Data as a competitive advantage for our Business, by building unified data platforms, delivering customized BI tools for managers &amp; empowering insightful business decisions through AI in Data.
 
 
 In this role, you'll be constantly learning, staying up to date with industry trends and emerging technologies in data solutions. You'll have the chance to work with a variety of tools and technologies, including big data platforms, machine learning frameworks, and data visualization tools, to build innovative and effective solutions.
 
 
 So, if you're excited about the possibilities of data, and eager to make a real impact in the world of business, a career in data solutions might be just what you're looking for. Join us and become a part of the future of digital transformation.
 
 
 
 About P&amp;G IT
 
 
 
 Digital is at the core of P&amp;G&rsquo;s accelerated growth strategy. With this vision, IT in P&amp;G is deeply embedded into every critical process across business organizations comprising 11+ category units globally creating impactful value through Transformation, Simplification &amp; Innovation. IT in P&amp;G is sub-divided into teams that engage strongly for revolutionizing the business processes to deliver exceptional value &amp; growth - Digital GTM, Digital Manufacturing, Marketing Technologist, Ecommerce, Data Sciences &amp; Analytics, Data Solutions &amp; Engineering, Product Supply.
 
 
 
 Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Understand the business requirements and convert into technical design of data pipelines and data models
 </li>
 <li>
 Write code to ingest, transform and harmonize raw data into usable refined models
 </li>
 <li>
 Analyze multiple data sets associated with the use cases in-scope in order to effectively design and develop the most optimal data models and transformation
 </li>
 <li>
 Craft integrated systems, implementing ELT/ ETL jobs to fulfil business deliverables.
 </li>
 <li>
 Performing sophisticated data operations such as data orchestration, transformation, and visualization with large datasets.
 </li>
 <li>
 Coordinate with data asset managers, architects, and development team to ensure that the solution is fit for use and are meeting vital architectural requirements.
 </li>
 <li>
 Demonstrate standard coding practices to ensure delivery excellence and reusability
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 A wide range of challenging manufacturing/engineering assignments in one of the most influential companies in the world. We don&rsquo;t just offer a job; we offer a career with varying assignments and lots of development opportunities
 </li>
 <li>
 An opportunity for you to develop and deliver state of the art technologies supported by multi-million capital investments.
 </li>
 <li>
 Travel opportunities to the project locations to see your design come to life
 </li>
 <li>
 Continuous coaching&ndash; you will work with passionate people and receive both formal training as well as day-to-day mentoring from your coach and manager
 </li>
 <li>
 Dynamic and respectful international work environment&ndash; employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance.
 </li>
 <li>
 A competitive compensation package, in line with your qualifications and experience
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 
 Role Requirements
 
 
 
 <ul>
 <li>
 At least 3 years of experience in Data Engineering
 </li>
 <li>
 Hands-on experience in building data models, data pipelines, data ingestion, harmonization along with data governance.
 </li>
 <li>
 Hands-on experience in scripting language like Python, R or Scala
 </li>
 <li>
 Backend Development expertise on SQL Database, SQL Data Warehouse or any data warehousing solutions in cloud
 </li>
 <li>
 Hands-on experience of reporting tools like Power BI or Tableau
 </li>
 <li>
 Knowledge in DevOps Tools and CICD tools (e.g. Azure DevOps and Github)
 </li>
 <li>
 Knowledge in cloud technologies (Azure Cloud) &ndash; at least 2 years inclusive of software engineering experience.
 </li>
 <li>
 Cloud Native application development using Angular and .Net.
 </li>
 <li>
 Knowledge in Agile or Scrum methodologies with proven track record of successful projects
 </li>
 <li>
 Graduate of Engineering or IT related course
 
 
 </li>
 </ul>
 
 Just So You Know
 
 
 
 We are an equal opportunity employer and value diversity at our company. Our mission of Diversity and Inclusion is: &ldquo;Everyone valued. Everyone included. Everyone performing at their peak&rdquo;.
 
 
 
 
 At P&amp;G, the hiring journey is personalized every step of the way, thereby ensuring equal opportunities for all, with a strong foundation of Ethics &amp; Corporate Responsibility guiding everything we do.
 
 
 
 
 
 
 All the available job opportunities are posted either on our website - pgcareers.com, or on our official social media pages, for the convenience of prospective candidates, and do not require them to pay any kind of fees towards their application.&rdquo;
 
 
 
 
 
 Job Schedule
 
 
 
 Full time
 
 
 
 Job Number
 
 
 
 R000137874
 
 
 
 Job Segmentation
 
 
 
 Experienced Professionals
</div>

Data Engineer

Wipro

<div>
 Job description:
 
 
 Job Description
 
 
 Role Purpose
 
 
 
 The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions.
 
 ͏
 
 
 Do
 
 
 
 1. Managing the technical scope of the project in line with the requirements at all stages
 
 
 a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends
 
 
 b. Develop record management process and policies
 
 
 c. Build and maintain relationships at all levels within the client base and understand their requirements.
 
 
 d. Providing sales data, proposals, data insights and account reviews to the client base
 
 
 e. Identify areas to increase efficiency and automation of processes
 
 
 f. Set up and maintain automated data processes
 
 
 g. Identify, evaluate and implement external services and tools to support data validation and cleansing.
 
 
 h. Produce and track key performance indicators
 
 
 &nbsp;
 
 
 2. Analyze the data sets and provide adequate information
 
 
 a. Liaise with internal and external clients to fully understand data content
 
 
 b. Design and carry out surveys and analyze survey data as per the customer requirement
 
 
 c. Analyze and interpret complex data sets relating to customer&Atilde;&fnof;&Acirc;&cent;&Atilde;&sbquo;&Acirc;&euro;&Atilde;&sbquo;&Acirc;&trade;s business and prepare reports for internal and external audiences using business analytics reporting tools
 
 
 d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking
 
 
 e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool
 
 
 f. Develop predictive models and share insights with the clients as per their requirement
 
 ͏
 
 
 Deliver
 
 &nbsp;
 
 NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy
 
 &nbsp;
 
 ͏ ͏
 
 
 
 &nbsp;
 
 
 Experience: 5-8 Years
 
 .
 
 
 &nbsp;
 
 
 Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.
 
</div>

Data Analyst L4

<div>
 
 Overview
 
 
 
 Are you an experienced Data Scientist, and you love what you do? Would you like to be a part of a global customer facing Team focussed on solving complex, real-world business problems? Would you like to be a part of a worldclass community of technical leaders, highly specialised in their disciplines and working together as one to bring the best practices of Artificial Intelligence, Machine learning, Engineering and Architecture to world&rsquo;s largest enterprise customers?
 
 
 The Industry Solutions Delivery (ISD) Engineering &amp; Architecture Group (EAG) is a global engineering consulting organisation that supports our most complex and leading-edge customer engagements in improving their business performance with the power of Data &amp; AI.  EAG develops approaches, innovative solutions, and engineering standards to set our delivery teams and customers up for long-lasting success. We are committed to Responsible AI, and we help our customers build and operate ethical, transparent and trustworthy AI solutions.
 
 
 We are hiring a Data Scientist with deep experience in advanced statistical data analysis, machine learning and artificial intelligence.
 
 
 Our team embraces a continuous learning and growth mindset, encourages diverse viewpoints and relentless collaboration. We value personal and cultural experiences and strive for excellence. We offer a flexible work environment to help you succeed in creating transformative and responsible AI solutions that positively impact economy and people worldwide.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leverage data science and business domain knowledge to improve business performance, evaluate project plans, communicate business goals, and share insights with stakeholders
 </li>
 <li>
 Acquire, prepare, and explore data through querying, visualisation, reporting techniques, and collaboration with other teams, ensuring data integrity.
 </li>
 <li>
 Apply machine learning and statistical analysis to develop models, train, optimise, and evaluate them, and communicate findings to stakeholders.
 </li>
 <li>
 Test, review, and improve models by analysing performance, incorporating feedback, and contributing to the review process.
 </li>
 <li>
 Write and debug efficient and scalable code while collaborating with engineering teams and integrate data models into customer systems.
 
 
 </li>
 </ul>
 Business Understanding and Impact
 
 
 Leverages understanding of data science and business to examine a project and consider factors that can influence final outcomes within a technical area. Evaluates project plan for resources, risks, contingencies, requirements, assumptions, and constraints. Documents key business objectives. Effectively communicates business goals in analytical and technical terms. Consistently shares insights with stakeholders.
 
 
 Data Preparation and Understanding
 
 
 Acquires necessary data for project completion and describes it using querying, visualization, and reporting techniques. Explores data for key attributes and contributes to development of quality reports. Collaborates with others to perform data-science experiments using established methodologies and tools. Partners with Solution Architects, Consultants, and Data Engineers in data preparation efforts. Identifies data integrity problems and adheres to Microsoft's privacy policy.
 
 
 Modeling and Statistical Analysis
 
 
 Applies machine learning knowledge to identify the best approach for project objectives, utilizing individual algorithms and modeling techniques. Selects the appropriate approach to prepare data, train, optimize, and evaluate the model for statistical and business significance. Writes scripts in SQL, Python, R, etc. Designs experiments, analyzes results, and communicates findings to stakeholders. Understands operational considerations for model deployment and partners with data engineering teams to develop operational models.
 
 
 Evaluation
 
 
 Understands the relationship between the model and business objectives. Tests models on test and production data, analyzes performance, and incorporates customer feedback. Reviews data analysis and modeling techniques to identify overlooked or reexamined factors. Contributes to the review summary.
 
 
 Industry and Research Knowledge/Opportunity Identification
 
 
 Learns and understands the current state of the industry, including knowledge of tools, techniques, strategies, and processes that can be utilized to improve process efficiency and performance. Maintains knowledge of current trends within the discipline. Attends internal research conferences and participates in on-hands training, when appropriate. Actively contributes to the body of thought leadership and intellectual property (IP) best practices.
 
 
 Coding and Debugging
 
 
 Writes efficient and readable code for specific features, collaborating with other engineering teams to optimize code and improve system efficiency, reliability, and maintainability. Develops expertise in debugging techniques and integrates data models into customer systems. Understands big-data software engineering concepts, such as Hadoop Ecosystem, Apache Spark, CI/CD, Docker, Delta Lake, MLflow, AML, and REST API consumption/development.
 
 
 Business Management
 
 
 Develops understanding of data structures and relationship to customer business goals, observes senior engineers for best practices in identifying growth opportunities and exploring ML applications. Understands customer business goals and demonstrates a strong commitment to Responsible AI, supporting customers, partners and internal stakeholders in building trustworthy AI solutions.
 
 
 Customer/Partner Orientation
 
 
 Focuses on customer needs, manages expectations, and enhances customer excellence. Learns from senior team members to develop insights and communicate results. Understands the impact of data quality on model accuracy and can explain it to customers.
 
 
 
 Other
 
 
 
 Embody our culture and values
 
 
 
 Qualifications
 
 
 
 
 Required/Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Operations Research, or a related field, with proven 4 years of data science experience in business context.
 </li>
 <li>
 Be able to work independently, solve complex data science problems, design and code maintainable and scalable solutions, and effectively apply data science to business challenges.
 </li>
 <li>
 Hands-on software engineering experience (e.g. Python, Scikit, PyTorch,C++) with main established data science frameworks.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with building and deploying largescale AI solutions into production within a cloud environment
 </li>
 <li>
 Experience dealing with internal and external stakeholders on large, complex projects.
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Scientist 2

Soul AI

<div>
 
 
 About Us:
 
 
 
 Soul AI is a cutting-edge AI data and quality operations company founded by IIT Bombay and IIM Ahmedabad alumni. With team members from leading institutions like IITs, NITs, and BITS, we specialize in human-in-the-loop AI systems, curated datasets, and high-precision domain evaluations. Located in San Francisco and Hyderabad, we focus on building AI that positively transforms businesses and society.
 
 
 
 
 
 
 About the Role:
 
 
 
 We are looking for a Data Analyst to evaluate and refine data-oriented outputs generated by AI systems. You will analyze datasets, validate AI-generated insights, and enhance the model&rsquo;s ability to interpret patterns and derive meaningful conclusions. Your analytical expertise will directly influence the training of next-generation analytical AI tools.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Analyze AI-generated data insights, reports, and dashboards.
 </li>
 <li>
 Validate statistical accuracy, data logic, and analytical reasoning.
 </li>
 <li>
 Identify inconsistencies, anomalies, or incorrect interpretation
 </li>
 <li>
 Provide structured feedback to strengthen AI understanding of analytics.
 </li>
 <li>
 
 Review prompts involving data cleaning, EDA, visualization, and metrics.
 
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 Strong foundation in data analysis, Excel, SQL, and visualization tools.
 </li>
 <li>
 Experience with Python, Pandas, NumPy, or analytical workflows is a plus.
 </li>
 <li>
 Understanding of statistics, data validation, and business intelligence.
 </li>
 <li>
 Detail-oriented with strong problem-solving and reasoning skills.
 </li>
 </ul>
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on high-impact projects that contribute to building AI for Good.
 </li>
 <li>
 Collaborate with top-tier engineers and domain experts from IITs, NITs, and BITS.
 </li>
 <li>
 Opportunity to grow in a fast-paced, innovation-driven environment
 </li>
 </ul>
 
 
</div>

Data Analyst

Explore 99+ Data architect in Hyderabad India this January. Find roles across top companies and apply now to boost your career.