Staff Data Scientist / Ops Research Scientist - Remote Eligible
Beauty For All Industries
Argentina
hace 3 días

Description

REMOTE BASED ELIGIBLE

Only Latam based applicants will be considered at this time open to working remotely from home if living in Argentina, Brazil, Colombia, Cost Rica, Peru, Chile.

About the Role :

We are looking for an Operations Research Scientist to join our Machine Learning team. As a member of the ML team, you will be responsible for researching, developing, and implementing advanced quantitative and qualitative models to personalize the user experience and delight our members across all touchpoints.

You will also be responsible for building goal driven numerical optimizers and techniques that will drive the key business metrics like cost, revenue, NPS etc.

The ideal candidate will have strong experience in optimization, mathematical modeling, and algorithm design. Experience in machine learning, big data analytics, data mining, statistical analysis, and statistical modeling is a plus.

What You’ll Be Doing :

  • Modeling : Design, build and improve machine learning models. Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results.
  • Collaborate with engineering to productionize models. Drive experimentation to test impact of model based optimization.

  • Deep analysis : Develop comprehensive understanding of subscriber and payment data structures and metrics. Mine large data sets to find opportunities for driving growth and retention of subscribers.
  • Visualization of Sophisticated Data sets : Development of prototype solutions, mathematical models, algorithms, and robust analytics leading to impactful insights communicated clearly and visually.
  • Partnership : Partner closely with business team to identify and unlock opportunities, and with other data teams to improve platform capabilities around data modeling, data visualization, experimentation and data architecture.
  • research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems

  • Deliver Artificial Intelligence & Machine learning based solutions around client problems, with some of them being : Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization
  • Conceptualize, design and deliver high-quality solutions and insightful analysis on a variety of projects ranging in both complexity and scope
  • What We are Looking For :

  • MS or PhD in Operations Research, Computer Science, Computer Engineering, Mathematics, or equivalent field strongly preferred
  • Strong experience with Combinatorial Optimization and Integer Programming
  • 4+ years of hands-on experience writing production-ready algorithms
  • Experience with programming languages such as Java, C++, Scala or Python
  • Excellence in Mathematics / Statistics
  • Knowledge of mathematical modeling tools such as CPLEX, Gurobi, or Google OR-Tools
  • Broad understanding of Recommender Systems, Supervised / Unsupervised Learning Algorithms, Graphical Models, and Learning Theory
  • Good communications skills with business stakeholders with ability to identify & cut through the core problems quickly
  • Bonus if You Have :

  • Experience with our stack (AirFlow, Spark, Databricks, AWS, Docker, Jenkins, SQL, Tensorflow, Sagemaker)
  • Experience working with OR tools like Cplex, Gurobi, Google ORTools
  • What We Offer :

  • Competitive salary
  • Paid time off & work from home flexibility
  • Learning & development programs
  • About BFA INDUSTRIES

    BFA Industries inspires everyone to express themselves, making beauty more accessible to all. Through product innovation, machine learning technology, and a community-first mindset, we democratize beauty by delivering not only personalized experiences, but a feeling of authentic self-expression.

    We’re home to beauty subscription brands IPSY and BoxyCharm, as well as brand incubator, Madeby Collective, and personal care brand, Refreshments.

    Headquartered in San Mateo, with offices in New York, Miami, Santa Monica, and Argentina, BFA brings together a diverse group of entrepreneurial thinkers and creative problem solvers with a penchant for getting things done.

    We are an equal opportunity employer who celebrates diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

    What We Offer

  • Competitive salary
  • Paid time off & work from home flexibility
  • Learning & development programs
  • About BFA INDUSTRIES

    BFA Industries inspires everyone to express themselves, making beauty more accessible to all. Through product innovation, machine learning technology, and a community-first mindset, we democratize beauty by delivering not only personalized experiences, but a feeling of authentic self-expression.

    We’re home to beauty subscription brands IPSY and BoxyCharm, as well as brand incubator, Madeby Collective, and personal care brand, Refreshments.

    Headquartered in San Mateo, with offices in New York, Miami, Santa Monica, and Argentina, BFA brings together a diverse group of entrepreneurial thinkers and creative problem solvers with a penchant for getting things done.

    We are an equal opportunity employer who celebrates diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by federal, state, or local laws.

    As we are US based company to comply with country specific employment laws we partner with local in country payrolling agencies

    If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact u

    If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please contact us.

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