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customer engineer ii, data analytics, google cloud

date scientist ii last mile

Amazon

<div>
 
 Description
 
 
 
 Amazon&rsquo;s Last Mile Team is looking for a passionate individual with strong machine learning and GenAI engineering skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world.
 
 
 Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)&rsquo;s success and the sustainable growth of Amazon.
 
 
 Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry.
 
 
 Key job responsibilities
 
 
 Candidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Machine Learning or Large Language Models. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs.
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 2+ years of data scientist experience
 </li>
 <li>
 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
 </li>
 <li>
 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
 </li>
 <li>
 Experience applying theoretical models in an applied environment
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience in Python, Perl, or another scripting language
 </li>
 <li>
 Experience in a ML or data scientist role with a large technology company
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ADCI - Karnataka
 
 
 Job ID: A3108909
</div>

Date Scientist II, Last Mile

Licious

<div>
 
 Licious is seeking a seasoned Director of Product to lead the strategy, execution, and optimization of three mission-critical domains: Last-Mile Delivery, Customer Experience (CX), and Payments. This role will own end-to-end product thinking, customer empathy, and operational excellence to deliver a differentiated, reliable, and delightful experience for millions of Licious customers.
 
 
 
 
 
 You will work closely with Engineering, Design, Operations, CX, Finance, and Leadership teams to build and scale products that significantly uplift NPS, delivery performance, retention, and payment success rates.
 
 
 
 
 
 
 
 
 
 What makes the role meaty?
 
 
 
 1. Last-Mile Delivery (LM)
 
 
 - Own DE + 3P Delivery Product Charter
 
 
 -Build and scale the end-to-end last-mile delivery product, enabling Licious to move from dependency on third-party partners to a high-control, owned last-mile model.
 
 
 -Drive improvements in SLA adherence (promised delivery time vs. actual) and CPD (Cost Per Delivery) across a daily order volume of 35,000&ndash;40,000 orders.
 
 
 -Own and evolve the Last-Mile Delivery App, including future roadmap for app store deployment (modules for hiring, L&amp;D, incentives, gamification, DE engagement, and performance tracking).
 
 
 -Partner deeply with Last-Mile Ops to build tech that improves delivery efficiency, reduces delays, and enhances customer and delivery-executive experience.
 
 
 -Build frameworks to compare and improve 3P vs. own delivery CX and DX.
 
 
 
 
 
 
 
 
 2. Customer Experience (CX)
 
 
 -Own the complaints, issue-resolution, and proactive CX product roadmap.
 
 
 -Reimagine Scheduled Orders and Supply Fulfillment workflows to increase reliability and reduce failed/delayed orders.
 
 
 -Build features to improve address accuracy, reducing delivery failures and improving first-attempt delivery success.
 
 
 -Drive retention uplift using product-led interventions, including personalized nudges, trust-building features, and seamless post-purchase journeys.
 
 
 -Define and deliver targets for NPS, repeat rate, churn reduction, and customer perception metrics.
 
 
 
 
 
 
 
 
 3. Payments Experience (Checkout &rarr; Payment Success)
 
 
 -Own the entire payments funnel, from cart initiation to final payment confirmation.
 
 
 -Improve payment success rates with the right UX, fallback logic, routing intelligence, and partnerships with PSPs.
 
 
 -Build frictionless experiences across UPI, cards, wallets, and CoD, while reducing payment-related cancellations.
 
 
 -Drive payment reliability and reduce revenue leakages.
 
 
 
 
 
 ---
 
 
 Key Metrics for Success
 
 
 -SLA adherence and reduction in delivery delays
 
 
 -Cost per Delivery (CPD) optimisation
 
 
 -CX complaint rate reduction
 
 
 -Scheduled order success improvement
 
 
 -Address accuracy uplift
 
 
 -NPS increase and retention uplift
 
 
 -Payment success rate improvement
 
 
 -Reduction in checkout drop-offs
 
 
 ---
 
 
 
 
 
 
 We hope that you have..
 
 
 
 -10+ years of product management experience, with at least 4&ndash;5 years in leadership roles.
 
 
 -
 
 Past Product Management experience in Last-Mile or Customer Experience is a must-have
 
 
 
 -Deep expertise in Consumer Internet, Logistics/Last-Mile, Fintech/Payments, or Marketplace ecosystems.
 
 
 -Strong understanding of operations-heavy product environments.
 
 
 -Proven track record of scaling product charters with measurable impact on CX and business metrics.
 
 
 -Exceptional stakeholder management and cross-functional leadership.
 
 
 -High empathy for customers and delivery executives.
 
 
 -Hands-on problem-solving mindset: ability to dive deep into operational and consumer-level
 
 
 
</div>

Director of Product - Last Mile, CX and Payments

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </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 Science Engineer

Porter

<div>
 
 
 Porter: Creating Impactful Journeys
 
 
 
 
 
 
 At Porter, we're not just passionate about improving productivity; we're on a vision to Moving a billion dreams one delivery at a time. We empower businesses, both large and small, to optimize their operations and unleash unprecedented growth in their core functions. Join us in pioneering the future of last-mile logistics, one that's poised to disrupt the industry and redefine the way we think about transportation.
 
 
 
 
 
 
 Why Porter?
 
 
 
 
 
 <ul>
 <li>
 Industry Leadership: As the fastest-growing leader in last-mile logistics, we have a pan India and International presence with operations spanning multiple cities. With a fleet size exceeding 750k driver partners and 15 million customers. Porter is at the forefront of this dynamic and rapidly expanding sector.
 </li>
 <li>
 Cutting-Edge Technology: Our industry-best technology platform has garnered over $150 million in investments from renowned backers, including Sequoia Capital, Kae Capital, Mahindra Group, LGT Aspada, Tiger Global, and Vitruvian Partners. We leverage technology to drive efficiency, innovation, and unparalleled service.
 </li>
 <li>
 Ambitious: We're not just solving problems; we're addressing a massive challenge and going after a market with a valuation surpassing $50 billion USD. Our ambition extends beyond last-mile delivery; we aim to disrupt all facets of logistics, including warehousing and LTL transportation.
 </li>
 <li>
 Thriving Community: Join a community of passionate individuals who are committed to doing the best work of their lives. At Porter, we value the spirit of collaboration, innovation, and embracing challenges head-on.
 </li>
 </ul>
 
 
 
 
 
 Be a Part of Something Extraordinary:
 
 
 
 
 
 
 If you're ready to make an impact, be at the forefront of innovation, and embrace the challenges and opportunities of a fast-paced work environment, Porter is the place for you. We're not just building a brand; we're creating a household name in transportation. Join us and be part of the revolution &ndash; where every day is an opportunity to redefine what's possible.
 
 
 If you are ready to make a significant impact and shape the future of Porter, apply now and be part of our exciting journey!
 
 
 
 
 
 
 Company URL: https://porter.in/
 
 
 
 
 
 
 
 Role Overview:
 
 
 
 
 
 
 We are looking for a strategic and analytical team player to own the functions of the partner lifecycle from acquisition and onboarding to retention and engagement of the partners. The role involves driving growth across channels, reducing friction through product/process improvements, and leading central initiatives to enhance partner experience and efficiency. First-principle thinking, execution ownership, and cross-functional collaboration are key to succeeding in this role.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Setting up Central Ops:
 
 Building Central Ops from scratch and moving city processes under a unified setup and consolidating city workflows.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Retention &amp; Engagement:
 
 Track key metrics like churn, LTV, and satisfaction to design interventions that improve long-term retention and drive sustained engagement.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Customer &amp; Partner Insights:
 
 Continuously gather and analyse qualitative and quantitative feedback to understand pain points, inform product/process improvements, and reduce operational friction.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Cost Optimization:
 
 Monitor and improve cost-efficiency in acquisition and retention efforts to maximize ROI.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Communication &amp; Training:
 
 Build effective partner communication strategies and training programs to support onboarding, education, and ongoing enablement.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Competitor &amp; Market Analysis:
 
 Conduct regular benchmarking to identify trends, strategic opportunities, and areas of differentiation.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 SLA Monitoring &amp; Issue Resolution:
 
 Ensure adherence to SLAs and drive resolution of partner/customer issues in a timely and efficient manner.
 </li>
 </ul>
 
 
 
 
 
 Skills and Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Analytical Ability and Structured Thinking:
 
 Strong analytical skills to interpret data, identify trends, and make informed decisions. Ability to think critically and develop structured strategies to drive growth.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 First Principle Thinking:
 
 Question assumptions and solve problems from fundamental truths. Innovate and optimize processes beyond conventional approaches.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Stakeholder Management:
 
 Excellent interpersonal and communication skills to effectively collaborate with internal teams, external partners, and stakeholders at all levels.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Team Management:
 
 Experience in managing teams and leading team leads to achieve goals and objectives.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Data-Driven Mindset:
 
 Comfortable working with data and utilizing data-driven insights to inform decision-making processes. Proficiency in data analysis tools and techniques.
 </li>
 </ul>
</div>

Senior Manager- Partner Lifecycle

Rapido

<div>
 
 
 About Rapido:
 
 
 
 Founded in 2015, Rapido is India&rsquo;s leading multi-modal mobility platform. What began with bike taxis has rapidly evolved to include auto-rickshaws, cab-hailing, and peer-to-peer deliveries. Today, Rapido commands a dominant 70% market share in bike taxis, 40% in auto rides, and holds the second-largest position in the cab segment with a 22% share&mdash;establishing us as the overall market leader in ride-hailing. With over
 
 4 million rides completed daily
 
 and
 
 more than 2 billion rides served to date
 
 , Rapido operates in 200+ cities and is aggressively expanding toward a presence in 500 cities. In 2024, we proudly achieved unicorn status with a valuation of $1.1 billion. Driven by technology and innovation, we&rsquo;re expanding into new categories while remaining committed to improving last-mile connectivity and empowering livelihoods at scale.
 
 
 
 
 
 
 Opportunities don't happen, you create them!
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a detail-oriented and experienced resource to oversee the drafting, negotiation, and management of contracts across various functions within our organization. The ideal candidate will ensure compliance with legal requirements, mitigate risks, and maintain strong relationships with internal and external stakeholders.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Contract Drafting and Negotiation
 </li>
 <li>
 
 
 Draft, review, and negotiate a wide variety of contracts, including master service agreements, delivery service agreements, vendor contracts, subcontracting agreements, collaboration agreements, partnership agreements etc.
 </li>
 <li>
 Collaborate with internal teams to ensure alignment with organizational goals and requirements.
 </li>
 <li>
 Contract Management and Administration
 </li>
 <li>
 Maintain a centralized contract repository and ensure proper documentation of all agreements.
 </li>
 <li>
 Track key contract milestones, deliverables, and deadlines to ensure compliance and renewals.
 </li>
 </ul>
 
 
 
 
 
 Education and Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in law.
 </li>
 <li>
 PQE: 4-5 Years.
 </li>
 </ul>
 
 
 
 
 
 Why Should You Join Rapido?
 
 
 
 
 
 <ul>
 <li>
 
 Drive Impact:
 
 Play a key role in shaping the legal and commercial backbone of India&rsquo;s leading mobility platform.
 </li>
 <li>
 
 High-Growth Environment:
 
 Work in a fast-paced, dynamic setup that values innovation, ownership, and smart execution.
 </li>
 <li>
 
 Collaborative Culture:
 
 Partner with cross-functional teams to enable business growth and operational excellence.
 </li>
 <li>
 
 Purpose-Driven Work:
 
 Contribute to transforming urban mobility and making commuting simpler and more accessible for millions.
 </li>
 </ul>
 
 
 
 
 
 Excited to solve challenges? Join Rapido &amp; chase bigger milestones too!
 
 
 
 
</div>

Manager - Legal Contracts

Visa

<div>
 
 
 Job Description
 
 
 
 
 What a Data Scientist , Visa Consulting &amp; Analytics does at Visa:
 
 
 
 
 
 
 The Data Scientist will be a member of VCA Data Science team in Asia Pacific. The position will be based in Visa&rsquo;s Bangalore office.
 
 
 
 
 
 The individual will be accountable for supporting and driving the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking and payments with a strong background in data science to solve complex problems and unlock business value.
 
 <ul>
 <li>
 Hands-on development of detailed project scopes and methodologies, as well as designing, and implementing solutions using appropriate tools and techniques.
 </li>
 <li>
 Own project outcomes by proactively identifying and mitigating risks, managing dependencies, and communicating status and timelines to meet delivery expectations.
 </li>
 <li>
 Ensuring quality control and maintaining up-to-date documentation for all data science projects.
 </li>
 <li>
 Monitoring client portfolio growth data, identifying spending trends, and pinpointing growth opportunities using non-traditional data and new modeling techniques.
 </li>
 <li>
 Translate analytical findings into clear, actionable business insights.
 </li>
 <li>
 Work closely with cross-functional teams (consultants, data science, data engineers) to ensure successful project delivery.
 </li>
 <li>
 Contribute to the development of internal frameworks, templates, and accelerators for data science consulting.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 We are looking for a motivated, analytical minded individual with a track record of using data and analytics to unlock business value. A successful candidate should have accumulated a variety of industry experience, be curious about banking and cards industry, should be results-driven and client-centric.
 
 
 &bull; 5+ years&rsquo; experience plus a bachelor&rsquo;s degree in computer science, information science, mathematics, or similar/related streams. Graduate master&rsquo;s degree is a plus.
 
 
 &bull; Hands-on in delivering end-to-end data science projects, developing machine learning solutions, and scaling up data solutions. Demonstrated expertise in the core machine learning workflow, including data handling (cleaning, wrangling, feature engineering) and modeling with algorithms like Linear Regression, Decision Trees, and XGBoost.
 
 
 &bull; Experience in card payments and/or retail banking domain.
 
 
 &bull; Hands-on experience across the data analytics lifecycle: programming and querying (Python, SQL, Pyspark), big data platforms (Hadoop, Hive), and business intelligence/visualization (Tableau).
 
 
 &bull; Outstanding problem-solving skills, with demonstrated ability to think creatively and strategically.
 
 
 &bull; Proven ability to translate complex data into compelling narratives and impactful presentations using advanced Excel and PowerPoint.
 
 
 &bull; Familiar/Skilled in identifying and implementing GenAI solutions is desirable.
 
 
 &bull; Self-motivated, results oriented individual with ability to handle multiple projects concurrently.
 
</div>

Data Scientist

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly passionate about its customers. In this context it is vital to ensure the customers always get their orders on time and with quality. The processes at the FCs are largely manual involving large numbers of associates. One of the most critical roles is that of a process associates who mentor/guide the associates towards ensuring meeting the customer expectation by following our standard work practice keeping safety &amp; quality in mind.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Daily Management of shift:
 </li>
 <li>
 Administrative management of associates
 </li>
 <li>
 Job allocation to associates
 </li>
 <li>
 Monitoring and mentoring of associates on productivity, quality and safety.
 </li>
 <li>
 Monitor status of counts and problem solve queues
 </li>
 <li>
 Responsible for shift quality and associated action plans
 </li>
 <li>
 Preparing and implementing training and development plans for associates
 </li>
 <li>
 Conduct a 4M and 5S audit for the respective work stations on a daily basis
 </li>
 <li>
 Stand-in for Area Manager
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 At Outbound Department, we are currently a team of 8 Area Managers, 2 Team Leads and 13 Process Assistants. Outbound process typically starts from picking up a unit from bin (shelving area) when an order is attached to Fulfillment Centre (FC). This is followed by packing of the shipment units in specific process paths using the recommended carton/box/paper mailers along with p-slip and then it is slammed where shipment label is affixed to the shipment. Thereafter it is sent to FC Dock for shipping it from FC to Sort Centre (SC)/Last Mile (LM).
 
 
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 1+ years of Microsoft Office products and applications experience
 </li>
 <li>
 High school or equivalent
 </li>
 <li>
 Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
 </li>
 <li>
 Can lift up to 49 pounds, stand/walk during shifts lasting up to 12 hours, and be able to frequently push, pull, squat, bend, and reach
 </li>
 <li>
 Work 40 hours/week, and overtime as required
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 1+ years of Amazon Amnesty Floor Monitoring experience
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - ASSPL - Karnataka
 
 
 Job ID: A3133815
</div>

Process Assistant, OB

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