Associate Director - Engineering
☞ The Boston Consulting Group GmbH
Ver: 182
Dia de atualização: 07-10-2024
Localização: Berlin
Categoria: Consultoria / Atendimento ao Cliente Artes / Design
Indústria: Management Beratung
Conteúdo do emprego
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
BCG GAMMA combines innovative skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise. The BCG GAMMA team is comprised of world-class data scientists and business consultants who specialize in the use of advanced analytics to get breakthrough business results. Our teams own the full analytics 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. Here at BCG GAMMA, you’ll have the chance to work with clients in every BCG region and every industry area. We are also a core member of a rapidly growing analytics enterprise at BCG - a constellation of teams focused on driving practical results for BCG clients by applying leading edge analytics approaches, data, and technology.
What You’ll Do
POSITION SUMMARY:
You will be bridging the gap between business and engineering, and functioning with deep expertise in both worlds. As a strong engineering leader and an expert in building complex systems, you will be responsible for transforming how we use technology to increase the performance of our clients.
RESPONSIBILITIES:
Bring bleeding edge data science models into production together with a highly multi-disciplinary team of scientist, engineers, partners, product managers and subject domain experts
Build scalable analytics software platforms and products
Apply software development practices and standards to develop robust and maintainable software
Guide non-technical teams and consultants in understanding analytics at scale, infrastructure as code and best practices for robust software development
Optimize and enhance computational efficiency of algorithms and software design
Provide thought leadership to software design and solutions
What You’ll Bring (Experience & Qualifications)
REQUIREMENTS:
Masters degree or PhD in Computer Science (or in a highly related area)
9+ years of experience in algorithms, data structures, object-oriented programming, and in software development environment
Previous consulting experience and/or strong leadership positions
Excellent communication skills
Exposure to analytics applications or experience building analytics tools
Proven ability to deploy complex analytics systems and operate them at scale
Proficiency with infrastructure as code principles
Analytic reasoning and complex problem solving involving mathematical programming and big data problems
Management/team lead experience, experience working with global and remote teams
Experience guiding teams in addressing the technical and delivery challenges
Experience working directly with the business to translate business requirements into product capabilities
Programming languages such as: Java, Scala, C++, Python
Data: Hadoop, Spark, MongoDB, Neo4j, Redis
Deep learning: Tensorflow, Keras
Cloud: AWS/Azure/Google
DevOps: Kubernetes, Docker, CI/CD, Terraform, unix-based command line
Data limite: 21-11-2024
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