BCG - Boston Consulting Group
Data Scientist
Location:
Beijing, Shanghai, Shenzhen
Geography:
Asia Pacific
Capabilities:
Big data & advanced analytics
Industries:
Technology industries
Who We Are
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders—empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact.
Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place.
Practice Area Profile
Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.
Given the technical specialization needed for this role, it will be housed within BCG X, BCG’s cutting-edge group of computer science, statistics, AI and machine learning experts with deep industry expertise. These teams own the full analytics and product development value-chain end to end: framing new business challenges, building fact-bases, designing innovative algorithms, creating scale through designing tools and apps, and training colleagues and clients in new solutions. While housed within BCG X, This role will partner closely with our BCG Tech Capital commercial due diligence consulting teams to drive insights across integrated commercial and product diligences with close alignment with our Principal Investors and Private Equity Practice.
What You'll Do
We’re looking for a passionate and talented Data Scientist to join our rapidly growing team. In this role, you’ll have the chance to roll up your sleeves and apply data science methods and analytics to real-world business situations across a variety of industries. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. You will also get the chance to travel: we have clients in New York, Paris, Stockholm, Peru… Make sure your passport is ready to go!
WHO YOU ARE:
- Are comfortable in a client-facing role with the ambition to lead teams
- Can distill complex results or processes into simple, clear visualizations
- Are able to explain sophisticated data science concepts in an understandable manner
- Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience)
- Have significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data; as well as a deep understanding of modern machine learning techniques and their mathematical underpinnings, and are able to translate this into business implications for our clients
- Have strong project management skills
What You'll Bring (Experience & Qualifications)
JOB REQUIREMENTS:
- PhD and 1-2 years of relevant industry work experience or a Masters Degree with significant relevant experience providing advanced analytics solutions is required. The degree should be in computer science, applied mathematics, statistics, machine learning, or a related data centric field.
- Looking for individuals with deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project based environment on strategic issues.
- Strong record of professional accomplishment and leadership.
KEY COMPETENCIES:
Deep Technical and Data Science Expertise: The successful candidate will have a wealth of experience with applying advanced analytics to a variety of business situations, such that they can efficiently and effectively advise multiple teams on the best path to uncovering critical insights for clients. The DS will have Demonstrated analytical expertise, including the ability to synthesize complex data.
- Experience in core analytics methods (one or more of the following): Statistics (t-tests, ANOVA), variable reduction (FA, PCA), Segmentation/clustering techniques , Geographic cluster recognition and manipulation techniques, Predictive modeling: e.g. logistic regression, linear regression, Network analysis (location-allocation, travelling sales person, vehicle routing problem), Time series analysis: e.g. ARIMA, VAR, etc., Machine learning: e.g. LCA, Random Forest, neural networks, Spatio-temporal analysis, Time series analysis (ARIMA, VAR, etc.), Text mining & unstructured data analytics, Simulation: e.g. MC, dynamic, discrete event, Optimization: e.g. linear programming, heuristic
- Familiarity with a broad base of analytics tools (one or more of the following): Data management: e.g. Excel, SQL, PostGRESql, Hadoop/Hive, Alteryx, Analytics platforms: e.g. SAS, R, RapidMiner, SPSS, Data visualization: e.g. Tableau, GIS toolkits (ESRI, Quantum GIS, MapInfo or similar), ESRI Network Analyst, RouteSmart, RoadNet or similar, GPS data analysis a plus, Programming and/or scripting exp.: eg. Python, C#, VBA, Java, Perl, etc.
- Experience in applied analytics for business problem solving: Eg. Extensive experience building analytical solutions for (one or more of the following), Pricing and promotional effectiveness, Delivery fleet consolidation, Loyalty program effectiveness, Network real estate reorganization, Customer segmentation and targeting, Delivery footprint/territory expansion (or reduction), Customer LTV maximization, Cost modeling of transportation & logistics operations, Churn prevention, Strong project management skills, Others a plus
Analytical and Conceptual thinking: A successful candidate will be able to conceptualize business problems and drive frameworks. The SDS will produce leading edge business models and must be able to work in a hypothesis-based environment where inductive rather than deductive thinking is the norm.
Engagement Management and Work with Case Teams: The successful candidate will have demonstrated ability to manage engagements, client relationships, provide “thought leadership” to teams and able to act as a full member of a BCG project team. They must own analytical modules from work
planning to creating impact. He/she must provide perspective on work execution and process efficiency to analytics project lead. Strong presence, strong collaborator and leadership skills and ability to operate effectively in a matrix organization are a must.
Client Relationship Management: The candidate with have a demonstrated ability to communicate effectively and professionally with clients, delivering impactful solutions and presenting work in a concise and thoughtful manner, while demonstrating technical expertise (fluency in English is required). Strong business focus with experience with 80/20 approaches.
Analytics Innovation: Must be an autonomous self starter with a passion for analytics and problem solving. He/she will help build new Analytics service offerings that grow our portfolio of products and will captures proprietary content as well as analytics insights to the knowledge infrastructure. The candidate will support the creation of proposal/selling documents and provide perspective on relevant Analytics value propositions.
Date Posted:
18-May-2021
Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws.
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