Data Science Analyst

Employer: Kalypso
  • Others
  • IT Software
  • Job type: full-time
    Job level: 1 - 5 years of experience
  • Updated at: 09.09.2019
    Short company description

    Kalypso is a professional services firm helping clients discover, create and make better products with digital. We provide consulting, digital, technology, business process management and managed services across the innovation value chain.



    • Degree in Computer Science or Information Systems with supplementary experience in Data Science and/or Statistics
    • 2+ years of relevant work experience
    • Fluency in spoken and written English
    • Strong academic performance
    • Superior analytical, technical and problem-solving skills
    • Effective interpersonal, organizational, and time management skills
    • Creativity, self-confidence and flexibility
    • All applicants applying for EU based job openings must be authorized to work in the EU
    • Work location is Bucharest
    • Willingness to travel up to 50%

    Technical Skills

    • Proficiency with Machine Learning model development, training, validation and application
    • Proficiency in mathematical disciplines including linear algebra, calculus, probabilistic models and statistics
    • Data manipulation techniques, including ETL/ETLV
    • Experience developing in Java, .NET and SQL languages
    • Experience with R, Python or Scala scripting techniques
    • Experience with data visualization platforms like D3.js, Tableau, Kibana, HTML5 and CSS
    • Competency in Graph/NoSQL database techniques, and RDBS platforms like Oracle and MS SQL Server
    • Experience using and developing RESTful and SOAP Web Services
    • General knowledge of software development practices and technical documentation (requirements, functional specifications, test plans, etc.)

    Consulting Skills

    • Versatility, flexibility and proactivity when resolving technical issues and dealing with ambiguity
    • Understanding of business requirements and the process of translating them into well-engineered and integrated technical solutions; attention to detail
    • Commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines
    • Customer-focused to understand and appropriately respond to customers’ business needs
    • Demonstrated ability to interface effectively and collaborate with clients, peers and management to help develop solutions and ensure stakeholder buy-in
    • Experience working in a team-oriented, collaborative environment with flexibility and a deep commitment to client service


    No two days are exactly the same in our dynamic environment, nevertheless, below is a list of responsibilities you will be accountable for:

    • Create data models supporting Kalypso digital solutions across Manufacturing, High Tech, Life Sciences, Consumer Goods and Retail industries. Example model themes:
    o Demand/supply forecasting
    o Risk analysis
    o Customer behaviour analysis
    o Timeseries analysis
    o Asset efficiency modelling
    o Predictive maintenance
    o Multi-dimensional correlation
    o Natural Language Processing / Natural Language Generation
    o Vision AI / Language AI
    • Model benchmarking and technology evaluation (tools, vendors, techniques)
    • Build scalable tools to process large volumes of structured and unstructured data using on prem, cloud, and hybrid technologies – for our pre-configured solutions or on per-project basis
    • Design and implement machine learning and data management strategies (ingest, process, store)
    • Interact with internal and external stakeholders to understand their concerns and actively participate in solution design and build. Work with peer Solutions Architects to provide input to solution design, providing Data Science point of view
    • Be curious and constantly learn something new to stay on top of relevant technologies
    • Have fun while delivering excellent results to our customers