Senior Associate, Machine Learning Engineer

at  Bain Company Inc

Melbourne VIC 3000, Victoria, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate27 Sep, 2024Not Specified27 Jun, 2024N/AGood communication skillsNoNo
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Description:

WHAT MAKES US A GREAT PLACE TO WORK

We are proud to be consistently recognized as one of the world’s best places to work, a champion of diversity and a model of social responsibility. We are a Glassdoor Best Place to Work and we have maintained a spot in the top four since its founding in 2009. We believe that diversity, inclusion and collaboration are key to building extraordinary teams. We hire people with exceptional talents, abilities and potential, then create an environment where you can become the best version of yourself and thrive both professionally and personally.

ABOUT US

Bain & Company is a global consultancy that helps the world’s most ambitious change makers define the future.
Across 65 cities in 40 countries, we work alongside our clients as one team with a shared ambition to achieve extraordinary results, outperform the competition, and redefine industries. We complement our tailored, integrated expertise with a vibrant ecosystem of digital innovators to deliver better, faster, and more enduring outcomes. Our 10-year commitment to invest more than $1 billion in pro bono services brings our talent, expertise, and insight to organizations tackling today’s urgent challenges in education, racial equity, social justice, economic development, and the environment. We earned a platinum rating from EcoVadis, the leading platform for environmental, social, and ethical performance ratings for global supply chains, putting us in the top 1% of all companies. Since our founding in 1973, we have measured our success by the success of our clients, and we proudly maintain the highest level of client advocacy in the industry.
Bain & Company Australia is an equal opportunity employer, committed to ensuring diversity and inclusion in our workplace. We encourage applications from all backgrounds, including those of Aboriginal & Torres Strait Islander descent. In order to provide a safe workplace environment, Bain Australia offices can only be attended by employees, contractors and visitors (including recruits) who are fully vaccinated for COVID-19 or have a medical exemption which includes either a medical contra-indication certificate or a medical clearance form

Responsibilities:

WHAT YOU’LL DO

As a Senior Machine Learning Engineer, you will play a fundamental role on technical decision making, embedded in projects and working with clients of different industries. You will also get your hands dirty writing code to get Machine Learning models working at real world production environments. This role teams up closely with Data Scientists, Impact Leaders, Consultants and Team Leaders to boost, deepen and streamline the development of innovative solutions that respond to high complexity problems.

IN THIS ROLE YOU WILL:

  • Provide data science services to Bain case teams and clients worldwide.
  • Work with other data scientists and case teams to assess client demands and suggest data science methods that provide practical, value-added answers to the client and case teams.
  • Develop solutions that bring critical insights to wide scale of different problems such as targeting customers and segmenting markets, product design, marketing optimization, demand forecasting and brand valuation, profit and price analyses, and fraud detection.
  • Develop, prototype and test machine learning algorithms on data sets that can range from a few data points to billions.
  • Apply machine learning and statistical techniques including regression models, decision trees, random forests, gradient boosting, support vector machines, clustering and topic models.
  • Prepare various sources of data using data wrangling methods in Python, R and SQL, leveraging infrastructure including Cloud computing solutions and relational database environments.
  • Keep abreast of new and current statistical methodologies, machine learning and data wrangling techniques.


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

Melbourne VIC 3000, Australia