[校招/社招]麦肯锡咨询多个数据化岗位招聘
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  • 方向包括:Tech Lead, Product Owner, Data Scientist
    面向人群:工作经验丰富的已毕业校友及今年即将毕业的应届生
    简历投递:luke_qin@mckinsey.com

    欢迎各位师弟师妹师兄师姐考虑,根据你的能力和经验,all level opportunities 
    are on the table(从初级的analyst到高级的associate partner等级)

    附相关职位的基本描述(描述主要偏向中阶和初阶):

    Technical Lead, China Innovation Hub

    Who you’ll work with
    China Innovation Hub (CIH) is a rapidly growing practice within 
    McKinsey’s Greater China office. It provides distinctive end-to-end 
    services to our clients on a wide variety of innovation related topics, 
    including digital implementation, new digital business setup, big 
    data analytics, digital / physical product design, digital marketing, 
    and digital center for operations excellence etc.  
    Joining China Innovation Hub at our Shanghai Office, you will be 
    part of an avant-garde internal start-up delivering world-class data 
    applications to generate lasting impact for McKinsey’s notable 
    clients in Greater China and beyond. 
    You’ll be actively cooperating with data scientists, product engineer 
    and digital consultants to incorporate clients’ requirements and 
    impactful analysis into our data products. You’ll also be an expert 
    in data engineering and advising relevant people at the firm on 
    technical aspects of analytics engagements. 

    What you’ll do
    Technical Lead sit at the core of a big data revolution, which brings 
    McKinsey’s rich business acumen and advanced analytics 
    experience into production on a massive scale, both at our client’s 
    site and internally at the firm as a platform. 
    As a technical lead, you’ll
    - Determine technology strategy and transformation roadmap 
    to align with the business strategy
    - Innovate and architect performant technology enablers to 
    resolve challenging business problems;
    - Work closely with product owner and digital consultants in an 
    Agile way to iteratively build solutions to deliver customer 
    value in time; 
    - Ensure tech operation excellence, design best-in-class 
    DevOps infrastructure, process and tools for in-time software 
    delivery and fast response to production issues;
    - Provide hands-on technical leadership in both internal and 
    client’s dev team; 
    - Mentor and develop team members, provide constructive 
    feedback on design and code quality, and build an inclusive 
    culture with high performing teams.
    Working with McKinsey as part of the China Innovation Hub provides 
    you with rewarding and challenging opportunities, including: 
    - Shaping the problems as well as the solutions as a thought 
    partner to the business; helping clients to translate big ideas 
    into reality with delivered insights; 
    - Innovating new tools and techniques in an encouraging 
    environment and applying your understanding of insights in 
    real business settings; and 
    - Being exposed to an enormous variety of topics across many 
    different industries such as 
    --- a world-leading bank figuring out how best to carry out 
    customer service across all of its channels,
    --- a fast growing internet company trying to retain the 
    best talents, 
    --- or an Auto OEM reducing lead generation costs.
     
    Qualifications
    - Excellent communication skills for both business and technology 
    scenarios in English and Mandarin (both oral and written)
    - Bachelor's degree in Computer Science or related. Mathematics 
    and Statistics proficiency is a plus. Higher degrees preferred
    - Strong analytical and problem-solving skills paired with the ability 
    to develop creative and efficient solutions
    - Expertise in large-scale enterprise architecture and cloud-based
    (Alicloud or AWS) solutions
    - Above 3 years of experience in building high performance teams 
    and leading complex software development projects using Agile 
    methodologies
    - Expert in data modeling, ETL design, data lineage management 
    and data governance for both traditional SQL and Big Data 
    infrastructure
    - Above 3 years of experience building scalable applications using 
    Python, or some comparable languages like Java, or NodeJS etc.
    - Rich experience in technology operation and DevOps infrastructure 
    such as Git, Jenkins, Docker, K8S and monitoring tools. 






    Product Owner, China Innovation Hub

    Who you’ll work with
    China Innovation Hub (CIH) is a rapidly growing practice within 
    McKinsey’s Greater China office. It provides distinctive end-to-end 
    services to our clients on a wide variety of innovation related topics, 
    including digital implementation, new digital business setup, big 
    data analytics, digital / physical product design, digital marketing, 
    and digital center for operations excellence etc.  
    Joining China Innovation Hub at our Shanghai Office, you will be 
    part of an avant-garde internal start-up delivering world-class data 
    applications to generate lasting impact for McKinsey’s notable 
    clients in Greater China and beyond. 
    You’ll be actively cooperating with tech lead, data scientists, product 
    engineer and digital consultants to incorporate clients’ requirements 
    and impactful analysis into our data products. You’ll also be an 
    expert in digital production with different industries first-hand 
    experience. 

    What you’ll do
    You will lead the execution of digital product development and digital 
    transformation projects for leading industry players in Great China 
    or Asia-Pacific region.
    As product owner, you will be a core member of the McKinsey 
    consulting team with responsibilities that range from shaping 
    strategic product designs to managing and transforming agile teams.
    We engage on some of the most challenging business problems 
    facing our client. These projects can range from rapid process 
    re-inventions at leading financial institutions, ‘big data’ analytics at 
    large scale retail organizations, to consumer facing app or industrial 
    data platform development for traditional industries. In each 
    situation, our product owners are typically at the center of the 
    problem solving, advising our most senior clients on how to 
    successful execute on their strategic vision with digital means.
    You will be well versed in all aspects of the product, including:
    - Determine the valuable problem to solve, value to users, 
    business case, and product vision and roadmap
    - Translating abstract visions into specific business 
    requirements while managing client’s expectation
    - Through rigorous customer research determine user needs, 
    pain points, define MVP and potential solution, utilizing 
    methods such as storyboards, wireframes, product backlog 
    and user stories
    - Cooperate with cross-functional team to build a prioritized 
    list of features in iterative sprints while consistently 
    delivering customer value
    - Deploy MVP, pilot, measure key metrics and iterate based 
    on feedback subsequent releases.  Drive change 
    management

     
    Qualifications
    - Excellent communication skills to influence senior client 
    business and IT executives, in English and Mandarin 
    (both oral and written)
    - Bachelor's degree in business or technology subjects; 
    Higher degrees preferred
    - Above 3 years of experience in leading Agile IT teams as 
    a product owner or product manager, to implement 
    leading solutions to promote business/customer value
    - Energized by complex problem solving and ability to push 
    the innovation on solutions
    - Expert in design thinking and proficiency in drawing 
    storyboards, creating wireframes, creating /rooming 
    product backlogs, writing user stories and developing 
    acceptance criteria
    - Decision making and prioritization skills to ensure highest 
    value capture
    - Ability to work under pressure from multiple parties, 
    managing client expectations and stakeholder conflicts 
    effectively
    - Knowledge and understanding of software development 
    process and best practices (e.g. test-driven development, 
    continuous integration, etc.)
    - Experience in coaching Agile teams is a plus


    Data Scientist, China Innovation Hub

    Who you’ll work with

    Joining our Shanghai office as part of the China Innovation Hub, 
    you will work closely with our consultants in client projects as a 
    Data Scientist.

    China Innovation Hub (CIH) is a rapidly growing team within 
    McKinsey’s Greater China office. It provides distinctive end-to-end 
    services to our clients on a wide variety of innovation related 
    topics, including digital implementation, new digital business 
    setup, big data analytics, digital / physical product design, digital 
    marketing, digital center for operations excellence, etc.

    What you’ll do

    As a Data Scientist, you will build complex data analyses and 
    models. 

    Being an expert in data analysis and its methodologies, the Data 
    Scientists will proactively work with our consultants to support 
    clients in a variety of industries by creating complex mathematical 
    models using an analytical approach to power critical business 
    functions.  You will develop prototypes / analyze datasets in R, 
    Python, Tableau, Alteryx, etc.; conduct statistical analyses; and 
    evaluate large datasets.  The work will be project oriented, and 
    you will often be responsible for the entire analytical process – 
    from task definition to implementation and from interpretation of 
    results to delivery to the client.  You will discuss results with both 
    McKinsey consultants and clients in a constructive manner, 
    continuously searching for the best possible solution and 
    algorithm.

    The work is multifaceted and exciting, and there will be new 
    intellectual challenges daily as well as opportunities to gain 
    insights into various industries and management approaches.  
    A clearly defined yet flexible career path will help you to 
    continuously develop business skills as well as analytics 
    experience based on your interest.

    Working with McKinsey as part of the China Innovation Hub 
    provides you with rewarding and challenging opportunities, 
    including: a) Shaping the problems as well as the solutions as 
    a thought partner to the business; helping clients to translate 
    big ideas into reality with delivered insights; b) Innovating new 
    tools and techniques in an encouraging environment and applying 
    your understanding of insights in real business settings; and 
    c) Being exposed to an enormous variety of topics across many 
    different industries such as a world-leading bank figuring out how 
    best to carry out customer service across all of its channels, a 
    fast-growing internet company trying to retain the best talents, or 
    an Auto OEM reducing lead generation costs.

    Qualifications

    - Excellent communication skills in English and Mandarin 
    (both oral and written);
    - Quantitative degrees from top universities (economics, 
    mathematics, statistics, physics, computer science, 
    operational research, financial engineering etc.) with 
    outstanding academic results; advanced degrees with 
    quantitative project experiences a plus;
    - 3+ years’ data analytics related work experience in an 
    industry leading company;
    - Focus on a specific industry (e.g., financial service, 
    retail, internet etc.) is preferable;
    - An analytical thinker and also able to solve problems 
    creatively;
    - Comprehensive computer skills with understanding of basic 
    coding, experience and knowledge of database and 
    statistical software (Such as SAS, R, Python), and ability to 
    work with large datasets;
    - Deep knowledge about statistics and machine learning. 
    Domain expertise preferred: attribution, segmentation, 
    response modeling, churn, propensity, customer LTV, 
    supply chain / logistics, geospatial inference, recommender 
    systems, causal inference, forecasting, pricing;
    - Ability to scope and define data sets needed for specific use 
    cases and identifying data gaps;
    - Ability to translate scientific insights into product decisions 
    and work streams;
    - Good people skills, team oriented, quality driven, highly 
    committed and professional;