business analyst

analytical scientist Jobs in Hyderabad India

analytical scientist

business analyst l4 Jobs in Hyderabad India

business analyst l4

data analyst l4

data analyst, risk Jobs in Hyderabad India

data analyst, risk

data analyst

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

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

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent practical experience.
 </li>
 <li>
 4 years of experience in data analytics, trust and safety, policy, cybersecurity, or related fields.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 4 years of experience in data analytics, access and authentication management, cybersecurity, technology research, anti-abuse, or related fields.
 </li>
 <li>
 Experience in SQL, building dashboards, data collection and transformation, statistical modeling, visualization and dashboards, or a scripting or programming language (e.g., Python, Java, C++).
 </li>
 <li>
 Excellent written and verbal communication skills.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Trust &amp; Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what&rsquo;s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
 
 
 As a Data Analyst, you will be responsible for designing, developing, and maintaining trust and safety access and security systems, ensuring that security objectives are met without compromising operational efficiency. You will be designing and implementing seamless integrations between business goals and security systems, which includes developing and executing strategies to enhance system effectiveness. You will also manage complex projects with multiple stakeholders, stringent deadlines, and significant organizational implications, requiring a high degree of adaptability to changing circumstances. You will have an understanding of the process area, encompassing domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and advanced methodologies such as data extraction and pipeline building.
 
 
 At Google we work hard to earn our users&rsquo; trust every day. Trust &amp; Safety is Google&rsquo;s team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google&rsquo;s products, protecting our users, advertisers, and publishers across the globe in over 40 languages.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain trust and safety access and security systems, ensuring security objectives are met without compromising operational efficiency.
 </li>
 <li>
 Design and implement seamless integrations between business goals and security systems, including developing and executing strategies to support system effectiveness.
 </li>
 <li>
 Manage projects involving multiple stakeholders, stringent deadlines, significant organizational implications, and requiring adaptability to changing circumstances.
 </li>
 <li>
 Demonstrate an understanding of the process area, including domain expertise in data sources, access and authentication methods, relevant products, potential issues, interconnected systems, Google-wide business projects, and investigative methodologies (e.g., extracting data, building data pipelines).
 </li>
 <li>
 Create anomaly detection pipelines, monitor and analyze systems for scaled abuse detection and user access monitoring and reduce risk to the enterprise.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Data Analyst, Risk

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

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Client and Market Growth &ndash;
 
 
 Tech CoE
 
 
 &ndash;
 
 
 Sales Reporting &ndash; Analyst
 
 
 
 
 About Deloitte US Client And Market Growth Organization
 
 
 
 U.S. India, Client and Market Growth organizations (CMG) drive the marketing programs, initiatives, and priority client-facing programs in the U.S. regions. India CMG is focused on quality and operational excellence and is constantly challenging and refining its business model to ensure proper support of marketing processes, services, and deliverables in the United States. Mission of CMG is to support, augment, and complement marketing efforts of Deloitte through the development of marketing and business development materials and services.
 
 
 
 About Sales Ops team:
 
 
 
 Sales COE Operations team, as part of the Technology COE business area within Clients &amp; Market Growth, supports the process, reporting, analytics, and technology needs of the U.S. Sales COE team, assists them with their sales validations, and manages the sales validation tools and technology to ensure smooth functioning of the validation, reporting, and analysis process.
 
 
 
 Work you&rsquo;ll do:
 
 
 
 The professional would work within the Technology COE business area to provide reporting and analytics services to the sales leadership and stakeholders. This would require you to be very responsive and efficient in handling the complex reports.
 
 
 
 Required Skills
 
 
 
 <ul>
 <li>
 Technical Proficiency:
 </li>
 <ul>
 <li>
 Excel (including Pivot Tables), PowerPoint, Tableau (added advantage)
 </li>
 <li>
 SharePoint, Power BI, VBA (added advantage)
 </li>
 </ul>
 <li>
 Analytical and Reporting Skills:
 </li>
 <ul>
 <li>
 Experience in developing both manual and automated reports
 </li>
 <li>
 Ability to analyze information, spot trends or exceptions, and conduct follow-ups
 </li>
 </ul>
 <li>
 Communication and Interpersonal Skills:
 </li>
 <ul>
 <li>
 Excellent verbal and written communication
 </li>
 <li>
 Strong relationship building and management
 </li>
 <li>
 Effective presentation and storyboarding skills, including exposure to senior-level presentations
 </li>
 </ul>
 <li>
 Project and Time Management:
 </li>
 <ul>
 <li>
 Good project and time management abilities
 </li>
 <li>
 Proven ability to manage multiple activities simultaneously
 </li>
 <li>
 Ability to effectively coordinate with other teams or sub-teams
 </li>
 </ul>
 <li>
 Detail-Oriented and Problem-Solving Skills:
 </li>
 <ul>
 <li>
 Strong attention to detail
 </li>
 <li>
 Ability to quickly organize and track information
 
 </li>
 </ul>
 </ul>
 Key Job Responsibilities
 
 
 <ul>
 <li>
 Process and Quality Execution:
 </li>
 <ul>
 <li>
 Execute end-to-end processes and deliverables while ensuring the highest quality and turnaround times
 </li>
 </ul>
 <li>
 Collaboration and Stakeholder Engagement:
 </li>
 <ul>
 <li>
 Collaborate with various teams and stakeholders to develop reports and deliverables
 </li>
 <li>
 Build and maintain strong relationships with internal clients to understand their needs and exceed expectations
 </li>
 </ul>
 <li>
 Data Analysis and Reporting:
 </li>
 <ul>
 <li>
 Analyze data to uncover insights, drive actions, and achieve measurable outcomes
 </li>
 <li>
 Develop and maintain dashboards and reports to meet the business intelligence needs, particularly for Sales Professionals
 </li>
 <li>
 Provide analyses and insights to aid stakeholders in decision-making
 </li>
 <li>
 Articulate data issues clearly to the Sales Leadership team to facilitate resolution
 </li>
 </ul>
 <li>
 Documentation and Process Improvement:
 </li>
 <ul>
 <li>
 Create and update documentation for all processes and deliverables
 </li>
 <li>
 Build processes that enable users to mine new insights and assist in decision-making
 
 </li>
 </ul>
 </ul>
 
 The team
 
 
 
 Our team culture is collaborative and encourages team members to take initiative and seek on-the-job learning opportunities. Our Technology professionals are committed to excellence and help Market Development leverage technologies to build Deloitte eminence. Quality is our top priority, and by focusing on innovation, we continue to raise the bar on quality and deliver greater value to our clients.
 
 
 
 Educational Requirements:
 
 
 
 <ul>
 <li>
 Any Graduation Degree (Engineering preferably computer science)
 </li>
 <li>
 Professional qualification (reputed institutes preferred)(added advantage):
 </li>
 <ul>
 <li>
 MBA OR
 </li>
 <li>
 Master's degree in Computer Science/ Information Technology/ Computer Engineering or related field
 
 </li>
 </ul>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 2-4 years of experience in reporting and analysis
 </li>
 <li>
 Advanced Knowledge on Tableau
 </li>
 <li>
 Advanced logical, analytical, and problem-solving skills
 </li>
 <li>
 Excellent written and oral communication skills
 </li>
 <li>
 Strong client management and relationship building abilities
 </li>
 <li>
 Strong project management and time management skills
 
 
 </li>
 </ul>
 Shift: 2PM &ndash; 11PM
 
 
 Location: Hyderabad
 
 
 #CA-SM
 
 
 #CAB-SKC
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 301785
</div>

Analyst - Tech CoE - Sales Reporting - Hyderabad

Golden Opportunities

<div>
 
 Job Description
 
 
 
 Define, build, and lead a team of Data Scientists and Data analysts Discover areas in operations that can be automated through machine learning Demonstrate through technical knowledge on Statistical modeling, Probability and Decision theory, Operations Research techniques and other quantitative modeling techniques Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytical solutions Work closely with internal stakeholders and align them with respect to your focus area Innovate by adapting new modeling techniques and procedures Implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports.
 
 
 
 Skills Required
 
 
 
 RoleData Scientist
 
 
 Industry TypeIT/ Computers - Software]
 
 
 Functional AreaIT-Software
 
 
 Required Education
 
 
 Employment TypeFull Time, Permanent
 
 
 Key Skills
 
 
 <ul>
 <li>
 DATA SCIENCE
 </li>
 <li>
 MACHINE LEARNING
 
 
 </li>
 </ul>
 Other Information
 
 
 Job CodeGO/JC/1384/2025
 
 
 Recruiter NameRamya V
</div>

Data Scientist - GO/JC/1384/2025

Microsoft

<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

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