Machine Learning Scientist

Angajator: MassMutual Romania
Domeniu:
  • IT Hardware
  • IT Software
  • Tip job: full-time
    Nivel job: 1 - 5 ani experienta
    Orase:
  • BUCURESTI
  • Cluj Napoca
  • Actualizat la: 21.09.2021

    Key Goal: 

    • Remove operational debt across the enterprise 
    • Reduce time taken to achieve tasks 
    • Reduce LOE for undertaking new tasks 
    • Lower cost of completion 
    • Automated Services ensure our systems  
    • Run smoothly and efficiently 
    • Eliminates human errors 
    • Ensure business best practices are consistently leveraged 
    Who We Are – MassMutual Romania  MassMutual Romania, with offices in Bucharest and Cluj, was established to build an in-house team with expertise in application development and support, quality assurance and data science to support MassMutual and its affiliates, including Barings, in creating digital products and technology solutions.   Barings, as part of the MassMutual group, is a $345+ billion global financial services firm dedicated to meeting the evolving investment and capital needs of its clients and customers. Through active asset management and direct origination, Barings provides innovative solutions and access to differentiated opportunities across public and private capital markets. A subsidiary of MassMutual, Barings maintains a strong global presence with business and investment professionals located across North America, Europe and Asia Pacific.  Job Description  Reporting to the Head of Process Automation, as a Machine Learning Scientist at Barings you will analyze, model, implement and automate scalable solutions for our customers. You will have the opportunity to embed your creativity with an array of ML algorithms in addition with domain knowledge to solve complex business. Successful candidates will be a part of a talented team that is disrupting the market.  Responsibilities 
    • Automate deployments of machine learning techniques to improve our understanding of customer behavior. 
    • Analyze, extract, and optimize relevant information from large amounts of data to help drive business decisions on product features and operational efficiency 
    • Establish scalable, efficient processes for data analyses, model development, validation and experimentation 
    • Collaborate with cross functional teams to understand business teams and turn research into products. 
    Requirements 
    • A graduate degree in computer science, mathematics, statistics, physics, or a related technical field. 
    • Solid grasp of mathematics and machine learning concepts (i.e., optimization functions, linear algebra, etc.) 
    • Knowledgeable of relevant literature around applications for machine learning and deep learning 
    • You should have hands on experience in building machine learning solutions from conceptualization to implementation 
    • Strong knowledge of supervised (classification, regression) and unsupervised techniques (clustering, dimensionality reduction)  
    • Experience with designed experiments 
    • Proficient at programming in Python and SQL 
    • Fluency in data manipulation (SQL, Spark, Pandas) 
    • Experience with machine learning tools such as scikit-learn 
    • Strong problem solving and communication skills 
    • Curiosity. A repeated pattern asking and understanding the “why” behind the data 
    Preferred: 
    • Experience deploying algorithmic solutions in a cloud environment 
    • Graduate degree in computer science, mathematics, statistics, or related field a plus 
    • Strong soft skills and the ability to communicate with business partners