Delivery AI Scientist

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 help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.

To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.

What You'll Do

As a part of BCG X team you will work closely with consulting teams on a diverse range of advanced analytics topics. You will have the opportunity to leverage analytical methodologies, subject matter expertise, and accelerated execution to deliver value to BCG's Consulting (case) teams and Practice Areas (domain). You will collaborate with case teams to gather requirements, specify, design, develop, deliver, and support analytics solutions serving client needs. You will provide technical support through deeper understanding of relevant data analytics tools and processes to build high quality and efficient solutions.

What You'll Bring

Working with case (and proposal) team

• Delivering original analysis and insights to case teams, typically owning all or part of an analytics module
• Establishing credibility by thought partnering with case teams on analytics topics; drawing conclusions on a range of external and internal issues related to your module
• Executing analytical approaches and creating defined outcomes; contributing to approach selection focussing on problem solving and client value aspects
• Applying analytical, statistical and programming skills, building models, creating algorithms and using appropriate tools to discover knowledge from a variety of large and versatile data sources
• Wrapping the outcomes of analysis into ready-to-use software modules / minimal viable products / dashboards
• Training the project and client teams on advanced analytics approaches in general as well as on the use of tools and methodologies to increase the impact of their work
• Communicating analytical insights through sophisticated synthesis and packaging of results (including PPT slides and charts)
• Developing broad expertise in at least one analytics topic or platformThinking Analytically:
• You should be strong in analytical solutioning with hands on experience in advanced delivery, through the entire life cycle of analytics. Strong technical and statistical skills with the ability to develop and codify knowledge and provide analytical advice where required.

Technical Skills (Must have):

• Overall fluency in either of Python or R: ability to read, create, debug and package code, being comfortable using either of Pycharm, R-Studio, Visual Studio or any other IDE
• SQL scripting, ability to collect data from relational databases, e.g. PostgreSQL, MySQL, MSSQL etc.)
• Data wrangling with Python (pandas) or R
• Hands on statistical inference using Python, R as well as MS Excel extensions
• Experience in data visualization and presentation using either of Tableau, PowerBI, QlikView, Dash, …
• Self-learning and quick ramping in previously unfamiliar technological stack if needed

Technical Skills (Good to have):

• Experience in building scalable production ready dashboards and web applications using Python or JS frameworks e.g. either of Django, Flask, React, Vue, Angular etc.
• Experience with proprietary low-code data wrangling, predictive analytics and modelling tools (either of Alteryx, Knime, Dataiku, SAS, SPSS etc.)
• Experience with customer analytics, pricing optimization, predictive maintenance, supply chain optimization, network optimization, workforce allocation, smart manufacturing and related topics in a global organization or professional services is preferred
• Experience in GeoAnalytics using Python or specialized solutions is a plus
• First experience in simulation modelling and optimization approaches (Operations Research / Linear Programming / Mixed Integer Programming)
• Knowledge of dedicated optimization and simulation tools (AIMMS, LLamasoft, Gurobi, AnyLogic) is a plus
• Programming and/or scripting experience a plus: SQL, C#, Perl, Spark, VBA
• Experience with big data environments a plus: Amazon Redshift, Hadoop/HIVE, Teradata
• Experience with collaboration tools & ticketing systems (e.g. JIRA, Confluence, GitHub) is preferred

YOU BRING (EXPERIENCE & QUALIFICATIONS) :

• Bachelor's / Master's degree related to computer science, data engineering, data science, statistics, mathematics, or economics is required
• Previous experience in the domain of Advanced Analytics (internships included)
• Analytical expertise, including the ability to synthesize complex data, understand system capabilities and constraints, apply specific analytics methodologies, and deliver impactful solutions
• Consulting experience will be considered a plus
• Fluent written and spoken English (other languages desirable)

Who You'll Work With

Our business management and operations team members work to ensure that BCG is running smoothly, efficiently, and productively. We are made up of executive and administrative (or case team) assistants, visual service artists, receptionists, facilities staff, and the team leaders and office coordinators who manage these operations and business management jobs.

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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