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data scientist (lead)

data scientist junior

Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 5 to 6 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist - Junior

Williams-Sonoma, Inc.

<div>
 
 
 JOB DESCRIPTION
 
 
 
 
 WILLIAMS-SONOMA INDIA
 
 
 
 Job Description
 
 
 
 __________________________________________________________________________________
 
 
 Work Location : Pune, India
 
 
 Job Title : Data Scientist (Lead)
 
 
 Business Unit : WSI Corporate Technology, Pune/Hyderabad
 
 
 Lead Data Scientist
 
 
 
 About The Role
 
 
 
 We are seeking an experienced Lead Data Scientist to join our dynamic team. The ideal candidate will possess deep expertise in advanced analytics, machine learning, and agentic AI, with a proven ability to lead complex projects from ideation to deployment. This role involves driving innovation, mentoring junior team members, and collaborating with cross-functional teams to deliver impactful, data-driven solutions in the retail sector.
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Lead the design, development, and deployment of advanced predictive models, agentic AI solutions, and statistical analyses to solve high-impact business problems.
 </li>
 <li>
 Analyze large, complex datasets to extract actionable insights and guide strategic decision-making.
 </li>
 <li>
 Drive exploratory data analysis (EDA) and communicate findings to both technical and non-technical stakeholders.
 </li>
 <li>
 Partner with business leaders and stakeholders to define analytical objectives, data requirements, and success metrics.
 </li>
 <li>
 Mentor and provide technical guidance to data scientists and ML engineers, fostering a culture of learning and innovation.
 </li>
 <li>
 Architect and optimize scalable data pipelines and workflows using Spark and other big data technologies.
 </li>
 <li>
 Oversee the integration of agentic AI models with traditional machine learning approaches, ensuring robust, autonomous, and multi-modal solutions.
 </li>
 <li>
 Monitor, evaluate, and continuously improve the performance of deployed models and analytics solutions.
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in AI, ML, and data science.
 </li>
 <li>
 Contribute to the development of data science standards, code reviews, and knowledge sharing within the team.
 
 
 
 </li>
 </ul>
 Criteria
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Data Science, Computer Science, Statistics, or a related field, or equivalent work experience.
 </li>
 <li>
 8+ years of experience in data science, machine learning, or a related role, with a track record of delivering production-grade solutions.
 </li>
 <li>
 Demonstrated expertise in agentic AI, generative AI, and multi-modal systems, including the development and deployment of autonomous agents.
 </li>
 <li>
 Advanced proficiency in Python, NumPy, Scikit-learn, TensorFlow, PyTorch, Scala, or similar languages and frameworks.
 </li>
 <li>
 Working experience with big data technologies (e.g., Hadoop, Spark) and cloud-based data platforms.
 </li>
 <li>
 Deep understanding of statistical modeling, machine learning algorithms, and best practices for model validation and monitoring.
 </li>
 <li>
 Strong EDA and data storytelling skills, with the ability to influence business strategy through data-driven insights.
 </li>
 <li>
 Experience leading projects and mentoring junior team members.
 </li>
 <li>
 Experience in the retail sector is highly desirable.
 </li>
 <li>
 Excellent problem-solving, project management, and communication skills, with the ability to translate complex technical concepts for diverse audiences.
 
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen
 
 
 and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce
 
 
 retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are
 
 
 Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home,
 
 
 Rejuvenation, GreenRow and Mark and Graham. We currently operate retail stores globally. Our products are
 
 
 also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma has established a technology center in Pune, India to enhance its global operations. The India Technology Center serves as a critical hub for innovation and focuses on developing cutting-edge solutions in areas such as e-commerce, supply chain optimization, and customer experience management. By integrating advanced technologies like artificial intelligence, data analytics, and machine learning, the India Technology Center plays a crucial role in accelerating Williams-Sonoma's growth and maintaining its competitive edge in the
 
 
 global market
 
 
 
 
 ABOUT US
 
 
 
 
 
 Williams-Sonoma India Pvt. Ltd.
 
 
 
 Founded in 1956, Williams-Sonoma Inc. is the premier specialty retailer of high-quality products for the kitchen and home in the United States. Today, Williams-Sonoma, Inc. is one of the United States' largest e-commerce retailers with some of the best known and most beloved brands in home furnishings. Our family of brands are Williams-Sonoma, Pottery Barn, Pottery Barn Kids, Pottery Barn Teens, West Elm, Williams-Sonoma Home, Rejuvenation, and Mark and Graham. We currently operate retail stores globally. Our products are also available to customers through our catalogs and online worldwide.
 
 
 Williams-Sonoma India sourcing office was established in 2013. We are based in Gurugram, India. We are sourcing premium products across all categories of Home Furnishing and recorded double digit year-on-year growth. We have a dynamic team of over 100 members handling versatile vendors across India, Nepal &amp; Bangladesh. We are looking to onboard talented people and create successful professional journey.
</div>

Data Scientist (Lead)

Uplers

<div>
 
 
 Senior Data Scientist + Instructor
 
 
 
 
 
 
 
 Experience:
 
 4 - 10 Years Exp
 
 
 
 Salary:
 
 Competitive
 
 
 
 Preferred Notice Period:
 
 Upto 30 Days
 
 
 
 Opportunity Type:
 
 Office (Pune)
 
 
 
 Placement Type:
 
 Full-time
 
 
 
 
 
 
 Note: This is a requirement for one of Uplers' Clients Newton School
 
 
 
 
 
 
 
 Must have skills:
 
 Machine Learning
 
 AND
 
 K-means
 
 AND
 
 Clustering
 
 
 
 
 
 
 About Newton School:
 
 
 
 Come be part of a rocket ship that&rsquo;s creating a massive impact in the world of education! On one side you have over a million college graduates every year with barely 5% employability rates and on the other side, there are thousands of companies struggling to find talent. Newton School aims to bridge this massive gap through its personalized learning platform. We are building an online university and solving the deep problem of the employability of graduates.We have a strong core team consisting of alumni from IITs and IIM, having several years of industry experience in companies like Unacademy, Inmobi, Ola, and Microsoft - among others. On this mission, we are backed by some of the most respected investors around the world, - RTP Global, Nexus Venture Partners, and a slew of angel investors including CRED&rsquo;s Kunal Shah, Flipkart&rsquo;s Kalyan Krishnamoorthy, Unacademy and Razorpay founders, Udaan&rsquo;s Sujeet Kumar among others.
 
 
 
 
 
 
 About the Role:
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 <ul>
 <li>
 Develop and deliver comprehensive and engaging lectures for the undergraduate "Data Mining", &ldquo;Big Data&rdquo;, and &ldquo;Data Analytics&rdquo; courses, covering the full syllabus from foundational concepts to advanced techniques.
 </li>
 <li>
 Instruct students on the complete data lifecycle, including data preprocessing, cleaning, transformation, and feature engineering.
 </li>
 <li>
 Teach the theory, implementation, and evaluation of a wide range of algorithms for Classification, Association rules mining, Clustering, and Anomaly Detection.
 </li>
 <li>
 Design and facilitate practical lab sessions and assignments that provide students with hands-on experience using modern data tools and software.
 </li>
 <li>
 Develop and grade assessments, including assignments, projects, and examinations, that effectively measure the Course Learning Objectives (CLOs).
 </li>
 <li>
 Mentor and guide students on projects, encouraging them to work with real-world or benchmark datasets (e.g., from Kaggle).
 </li>
 <li>
 Stay current with the latest advancements, research, and industry trends in data engineering and machine learning to ensure the curriculum remains relevant and cutting-edge.
 </li>
 <li>
 Contribute to the academic and research environment of the department and the university.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 A Ph.D. (or a Master's degree with significant, relevant industry experience) in Computer Science, Data Science, Artificial Intelligence, or a closely related field.
 </li>
 <li>
 Demonstrable 4-10 years of expertise in the core concepts of data engineering and machine learning as outlined in the syllabus.
 </li>
 <li>
 Strong practical proficiency in Python and its data science ecosystem, specifically Scikit-learn, Pandas, NumPy, and visualization libraries (e.g., Matplotlib, Seaborn).
 </li>
 <li>
 Proven experience in teaching, preferably at the undergraduate level, with an ability to make complex topics accessible and engaging.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 A strong record of academic publications in reputable data mining, machine learning, or AI conferences/journals.
 </li>
 <li>
 Prior industry experience as a Data Scientist, Big Data Engineer, Machine Learning Engineer, or in a similar role.
 </li>
 <li>
 Experience with big data technologies (e.g., Spark, Hadoop) and/or deep learning frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Experience in mentoring student teams for data science competitions or hackathons.
 </li>
 </ul>
 
 
 
 
 
 Perks &amp; Benefits:
 
 
 <ul>
 <li>
 Competitive salary packages aligned with industry standards.
 </li>
 <li>
 Access to state-of-the-art labs and classroom facilities.
 </li>
 <li>
 To know more about us, feel free to explore our website: Newton School of Technology. We look forward to the possibility of having you join our academic team and help shape the future of tech education!
 </li>
 </ul>
 
 
 
 
 
 How to apply for this opportunity?
 
 
 
 
 
 
 
 Easy 3 Step Process:
 
 
 <ul>
 <li>
 Click On Apply and register or log in to our portal
 </li>
 <li>
 Upload updated Resume &amp; complete the Screening Form
 </li>
 <li>
 Increase your chances of getting shortlisted &amp; meet the client for the Interview!
 </li>
 </ul>
 
 
 
 
 
 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!
 
</div>

Senior Data Scientist + Instructor

Tata Communications Transformation Services (TCTS)

<div>
 
 
 Senior Data Scientist
 
 
 
 
 Location: Pune
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 <ul>
 <li>
 We are seeking a visionary and execution oriented Senior Manager to lead customer centric projects focused on AI powered and Autonomous Network Solutions, spanning wireless (4G/5G), wireline (fiber, broadband), and Fixed Wireless Access (FWA) domains.
 </li>
 <li>
 This role connects business strategy, technical innovation, and operational delivery, ensuring customer success through intelligent network transformation.
 </li>
 <li>
 Key Responsibilities AI and Autonomous Network Solutions Lead e2e engagement for AI enabled, closed loop autonomous network solutions across wireless, wireline, and FWA technologies.
 </li>
 <li>
 Translate customer requirements into delivery roadmaps featuring AI/ML models, LLM prompting, network self-healing, and predictive analytics.
 </li>
 <li>
 Oversee deployment of automation use cases like alarm correlation, anomaly detection, traffic prediction, and zero touch optimization.
 </li>
 <li>
 Sales Enablement and Solution Engineering Partner with sales, product, and pre sales engineering teams to design scalable, AI driven solutions for both wireless (4G/5G NSA/SA) and wireline networks (FTTx, xDSL, GPON, DOCSIS).
 </li>
 <li>
 Create and present business cases and proof of concepts (PoCs) tailored to hybrid network environments, including FWA deployment strategies. Develop proposals that address customer pain points using AI driven KPI insights, RF/wireline performance analytics, and capacity modelling.
 </li>
 <li>
 Project Leadership and Delivery Execution Manage cross functional delivery of multi technology engagements, from FWA rollout automation to AI driven fiber network analytics. Track timelines, budgets, risk mitigation plans, and outcomes using Agile or hybrid methodologies, ensuring high impact delivery aligned with customer goals.
 </li>
 <li>
 Drive adoption of autonomous workflows and AI based decisioning across planning, optimization, provisioning, and fault management. Customer Relationship and Stakeholder Management Act as the primary interface with customers for sales aligned project delivery, status updates, and solution expansion discussions.
 </li>
 <li>
 Conduct technical deep dives, workshops, and strategy sessions with telecom operators and enterprise clients.
 </li>
 <li>
 Foster long term client relationships by consistently demonstrating value through network intelligence, automation, and performance improvement. Innovation and Ecosystem Leadership Champion the use of generative AI, prompting, and large language models (LLMs)for automation and proactive network management.
 </li>
 <li>
 Collaborate with internal RandD, product management, and operations teams to evolve the service portfolio across wireless, wireline, and converged network domains. Influence the design and adoption of self-optimizing networks (SON), FWA performance platforms, and fiber diagnostics using AI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Qualifications Bachelor/Master degree in Telecommunications, Computer Science,
 
 Data Science,or related fields.
 </li>
 <li>
 12 plus years of experience in telecom network services with 5 plus years in AI/automation leadership roles. Strong understanding of 4G/5G, FWA, and wireline network technologies (e.g. fiber broadband, GPON, DOCSIS, xDSL).
 </li>
 <li>
 Expertise in AI/ML (supervised/unsupervised learning), prompt engineering, automation scripting (Python, SQL), and analytics tools (Tableau, Power BI). PMP, Agile, or relevant delivery certifications preferred. Key Skills AI/ML in Network Optimization Prompt Engineering and LLM Integration Autonomous Wireless/Wireline Network Architectures Fixed Wireless Access (FWA) Deployment and Analytics RF and Fiber Network Planning and Performance Customer Engagement and Technical Presales Automation Frameworks and Closed Loop Operations Program Management and Cross Functional Leadership
 </li>
 </ul>
 
 
</div>

Senior Data Scientist

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Mastercard

<div>
 
 
 Title and Summary
 
 
 
 
 
 
 Manager, Product Management-Technical - Marketing Technology Solutions
 
 
 
 
 
 Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.
 
 
 
 
 
 Marketing Technology Solutions (MarTS) is building cutting-edge, intuitive, intent-driven marketing products to empower our customers, generate high-value leads and fuel the Mastercard brand. We are a part of the Corporate Technology Solutions program that powers the customer technology backbone of Mastercard. MarTS operates at the center of marketing, business, product, and technology, and brings to life marketing strategies and helps to pave the way for new ones that power our growth. This product manager would be focused on enabling our global and regional marketing teams and leading a team of technical product managers to deliver scalable and reliable products.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 &bull; Sets the vision and direction for sets of products
 
 
 &bull; Leads individual contributors who are conceptualizing the one-to-two year view of how the platform product portfolio solves business and customer needs
 
 
 &bull; Exhibits expertise across multiple platform products and builds tight connections to resources to drive overall strategy and teams inside your organization while influencing those outside your organization to deliver the expected results
 
 
 &bull; Dives deep into the work of you team and identify short-and-medium-term risks to platform product development while proposing solutions to address them
 
 
 &bull; Continuously monitors feature development and associated defects at the platform product level as well as runtime operational metrics for in market capabilities
 
 
 &bull; Develops and communicates team vision that supports the broader organizational vision
 
 
 &bull; Makes trade-off decisions as required
 
 
 &bull; Contributes to organizational planning
 
 
 &bull; Manage escalations, assess the alternative to resolve (path to green) and builds a plan for resolution
 
 
 &bull; Own and deliver on post-launch reviews and customer feedback, drives the associated actions, and incorporates feedback into the future launch plans
 
 
 &bull; Shares best practice with other Mastercard teams
 
 
 &bull; Engages with business customers to identify key platform product issues; solicits feedback on platform product roadmap
 
 
 &bull; Leverages data analysis skills to research difficult or ambiguous problems, leading cross-disciplinary teams where necessary and communicating recommendations to senior leadership
 
 
 &bull; Oversees team-wide product operations, leads junior PM-Ts who may own individual components, and coordinates team-wide improvement goals
 
 
 &bull; Drives adoption of existing platform products into multiple marketplaces (in some cases simultaneously) with help from leadership
 
 
 &bull; Provides regular coaching and feedback to direct reports to help grow individual functional skills and leadership capabilities, with support from senior managers
 
 
 &bull; Sets goals for individuals to achieve department or function level goals
 
</div>

Manager, Product Management-Technical

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 Enterprise Performance
 
 
 Our Enterprise Performance team is at the forefront of enterprise technology, working across finance, supply chain, and IT operations to support the delivery of holistic performance improvement and digital transformation. We support Deloitte client service teams of strategic advisors and architects, differentiated by our industry depth to help collaborate with leading insights providers and leverage your experience in strategy, process design, technology enablement, and operational services to enable the heart of business solutions.
 
 
 Position Summary
 
 
 Level: Advance analytics Consultant
 
 
 As an experienced Consultant at Deloitte Consulting, you will be responsible for individually delivering high quality work products within due timelines. Need-basis you will be mentoring and/or directing junior team members/liaising with onsite/offshore teams to understand the functional requirements.
 
 
 Work you&rsquo;ll do :
 
 
 As a Consultant in Deloitte&rsquo;s Supply chain &amp; Network Operations team, you will:
 
 
 <ul>
 <li>
 Collaborate with analytics teams to manage and analyze big and small data.
 </li>
 <li>
 Apply advanced analytics and create impactful visualizations (Tableau, Qlik, PowerBI).
 </li>
 <li>
 Deliver high-quality work and adapt quickly, independently or in teams.
 </li>
 <li>
 Use strong SQL skills to wrangle and transform data across databases (MS SQL, MySQL, PostgreSQL, Oracle, MongoDB).
 </li>
 <li>
 Employ data wrangling and analytics expertise using Python, R, SPSS, Minitab, and Excel.
 </li>
 <li>
 Support teams by identifying and resolving technical or data issues, ensuring insights address business needs.
 
 
 </li>
 </ul>
 The T eam:
 
 
 From our centers, we work with Deloitte consultants to analyze, design, develop, and build solutions to help clients reimagine, reshape and rewire the competitive fabric of their supply chains across industries. Our centers house a multitude of specialists, ranging from systems designers, architects, integrators, analytics experts, domain specialists to creative digital experts as well as cyber risk and human capital professionals. All work together on diverse projects from advisory services, advanced preconfigured solutions and methodologies, to brand building and campaign management. We are a unique blend of skills and experiences, yet we underline the value of each individual, providing customized career paths, fostering innovation and knowledge development with a focus on quality.
 
 
 Qualifications :
 
 
 Must have Skills :
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in data visualization troubleshooting, including resolving object failures, database connectivity issues, and data processing errors, preferably within Tableau.
 </li>
 <li>
 3+ years supporting data analytics using statistical and analytical software such as R, SAS, SPSS Statistics, SPSS Modeler, Minitab, or Matlab.
 </li>
 <li>
 Experience in Supply Chain analytics, with familiarity in working with supply chain-related data sources such as SAP Planning or Oracle Planning modules.
 </li>
 <li>
 Strong analytical and problem-solving skills, with demonstrated ability to troubleshoot complex technical data analytics issues.
 </li>
 <li>
 Proficiency in programming with Python or similar scripting languages (e.g., R, SQL).
 </li>
 <li>
 Experience with ETL tools such as SSIS, Informatica, or Alteryx for data extraction, transformation, and loading.
 </li>
 <li>
 Hands-on experience with data visualization tools such as Tableau, QlikView, Qlik Sense, or Power BI, enabling effective communication of insights.
 </li>
 <li>
 Proficient in Microsoft Office applications, including Visio, PowerPoint, Excel, and Access, for documentation and presentation.
 </li>
 <li>
 Excellent communication and collaboration skills, enabling effective teamwork and stakeholder engagement across cross-functional teams.
 
 
 </li>
 </ul>
 Good to have Skills:
 
 
 <ul>
 <li>
 Ability to identify and resolve technical issues swiftly, supporting smooth analytics operations.
 </li>
 <li>
 Strong problem solving and troubleshooting skills, with the capacity to exercise mature judgment in ambiguous situations.
 </li>
 <li>
 Experience with big consulting firms or relevant industry experience, providing valuable context and best practices.
 </li>
 <li>
 Exposure to advanced analytics methodologies or emerging technologies in data science.
 </li>
 <li>
 Familiarity with additional supply chain platforms or planning modules beyond SAP and Oracle.
 </li>
 <li>
 Experience with workflow automation or cloud-based analytics environments.
 </li>
 <li>
 Professional certifications in analytics, data visualization, or supply chain management.
 
 
 </li>
 </ul>
 Education:
 
 
 <ul>
 <li>
 B.E, B.Tech, BBA from a leading school in India or abroad
 
 
 </li>
 </ul>
 Location:
 
 
 <ul>
 <li>
 Bengaluru/Hyderabad/ Kolkata/Chennai/Pune
 
 
 </li>
 </ul>
 #SCNOFY26Hiring
 
 
 
 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.
 
 
 
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 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: 302605
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