Data Scientist - Ai, Insights & Solutions

Detalhes da Vaga

Data Scientist - AI, Insights & Solutions

Data Scientist, Advanced Analytics Group
Job ID: 90100
Areas of Work: Analytics, Data & Research
Employment Type: Permanent Full-Time
What we do
We are looking for a Data Scientist to join Bain's Advanced Analytics Group (AAG).
As part of AAG, you will work with other members of AAG, Bain Generalist Consultants, and our AAG Factory team to build robust data solutions that interact with our Data Science and Machine Learning models to serve our clients' needs.
We achieve this in two distinct ways:
Working with consulting teams on short-term projects which involve developing software solutions.
Developing and maintaining long-lasting products that support internal or client needs.
At Bain, we work with leading companies innovating with data, often involving building digital products.
Many times, in the early stages of experimentation, we have to develop immature digital products as proofs of concept.
Those can go from deploying a microservice with a predictive model to quickly implementing pipelines that integrate client data with the developed products/models.
When any of those tests show potential value, we need to scale them up and help the team capture that unlocked value.
Sometimes, this means transforming an immature digital project or product into a stable, usable, and resilient one to bring the most value to our clients.
Because of this, we are searching for innovative and fresh minds that want to join us to create elegant yet practical solutions to deal with the most challenging problems.
Who we are looking for
We are not looking for an expert on a specific domain or analytics framework.
Instead, we are seeking people who have strong Data Science experience and feel comfortable moving through different types of data analysis and modeling challenges.
We are looking for individuals with experience building data-driven solutions, training machine learning models, and integrating advanced analytics into business processes.
Also, people who have worked with diverse data sources across different domains, and who can collaborate with multidisciplinary teams to drive insights and create analytic solutions from data.
While you may already have experience with certain tools or platforms, we encourage you to continually learn and adopt new technologies as you move forward.
We want you to see learning as a challenge to embrace, not a chore.
What we expect from you:
Enjoy learning new methodologies, tools, and technologies.
Familiar with statistics, linear algebra, databases, and programming.
Write code in Python.
Skilled at manipulating data, extracting insights, and communicating them through visualizations.
Experience training machine learning models – both supervised and unsupervised.
Comfortable using Git for versioning and collaborating.
Strong interpersonal and communication skills to coordinate with both technical and business-oriented team members.
Have 1 or more years of experience.
We are interested in you working with an interdisciplinary team where there are other roles who code and for you to be a reference regarding data science.
Also, we need you to feel comfortable at every stage of a project: whether you are putting together a prototype of a crazy idea (that we don't know what it's going to evolve into), building production projects, or leading the continuous improvement of an ongoing product.
About us
At Bain we say "Champion the bold to achieve the extraordinary." In the Advanced Analytics Group, we deeply embody that statement; we put remarkable data innovators in front of the world's toughest challenges, delivering impact that goes way beyond businesses.
By doing that, we aim to challenge the status quo and redefine the domains in which we work.
We are building the most influential data innovation hub in South America.
We are looking for creative yet courageous professionals like you to play a key role in helping us pursue this endeavor.
What can you expect from us?
We are people-centered and team players: we want to provide an awesome environment to work and grow.
An environment where we care about people, our wellbeing, and a healthy and vibrant long-term development.
We believe in a place where autonomy is at the core, and where servant leadership provides direction, guidance, and motivation, enabling the best version of each of us so we can build teams based on trust and help others shine.
We deliver positive impact and challenge the status quo: we are obsessed with unleashing our clients' full potential by developing quick and dirty data products that evolve fast through agile experimentation.
We design a vision not conquered yet, and we only seek to make it a reality and bring true impact to the domains we work on.
Be it a very complex operational mining process, an NGO's educational challenge, a retailer's e-commerce, or a climate change endeavor, we bring state-of-the-art advanced analytics techniques to create new superior realities for our clients.
We are playful and seek uniqueness: complex problems require thinking out-of-the-box, giving room to challenging ideas and points of view.
How do we enable that?
By nurturing creativity and having fun exploring novel paths and promoting curiosity and learning in empowered teams that take seriously their instincts and passions.
We've seen over and over again that this never-ending learning philosophy makes us better and stronger, broadening our capability range and enlightening our version in the future to tackle challenges that we haven't seen before.
You are a curious person.
You are obsessed with learning new things, tackling new problems, and being constantly challenged.
You describe yourself as a proactive and creative person.
You don't feel bad facing failure; instead, you learn the reason behind it and learn from it.
You value learning from others, but you also love learning by yourself and teaching yourself new skills.
You value well-written communication, so you put your best effort into it, be it code, documentation, or an email.
You feel comfortable reading, writing, and speaking in English.
You have strong communication skills and feel comfortable working with people that have different roles and seniority levels.
You enjoy working on constantly iterative processes.

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