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Data Science Analyst - Bucharest, Romania

Kalypso, a Rockwell Automation Business, is a professional services firm dedicated to helping clients discover, create, make and sell better products with digital. We believe that innovation across the value chain is the single most important factor for long-term growth and success.

Kalypsonians are passionate about their work and committed to helping our clients become more innovative, competitive, and productive. The Kalypso team consists of diverse industry and technical experts with proven experience delivering results. Our people are recognized business, industry, and technical thought leaders with a passion for innovation.

As a provider of professional services, our people are the key to success. We are looking for the absolute best to join our world-class team. We want balanced individuals who are willing to go the extra mile to deliver the results our clients expect. At the same time, we are looking characters with character who complement their expertise and intelligence with personality and integrity.

If you think you have what it takes, but don’t meet every single point on the job description below, please still apply. We’d rather have a chat and see if you could be a great fit than never meet at all. Consulting is an apprenticeship business and many of the skills you need to master are acquired on the job.

Data Science Analyst Job Description

Location: Bucharest, Romania (European Innovation Center)

Kalypso is seeking exceptional candidates who are passionate about the exciting world of digital technologies, including the Internet of Things, Big Data, Advanced Analytics, Artificial Intelligence, and Machine Learning.

As a Data Science Analyst, you will help our clients apply leading data analysis and artificial intelligence techniques to challenging business problems, all while becoming proficient in the most highly valued technological skillset in the global marketplace.Our work is fast-paced, demanding, and provides unparalleled exposure to unique opportunities. The learning curve can be quite steep, but our team will help you build confidence and enable you to explore areas that are of interest to you. Our focus is on helping clients extract business value from cutting edge technical capabilities, not just on making the technology work. In this role, you will help design, develop, and test solutions for a diverse set of clients in industries such as Manufacturing, High Tech, Life Sciences, Consumer Goods, and Retail.

Main Responsibilities

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:
- Demand/supply forecasting
- Risk analysis
- Customer behavior analysis
- Timeseries analysis
- Asset efficiency modeling
- Predictive maintenance
- Multi-dimensional correlation
- Natural Language Processing / Natural Language Generation
- 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 a 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
Demonstrate versatility, flexibility, and proactivity when resolving technical issues and dealing with ambiguity
Understand the business requirements and the process of translating them into well-engineered and integrated technical solutions; have attention to detail
Show commitment to quality and on-schedule delivery; proven ability to establish and meet milestones and deadlines
Be customer-focused to understand and appropriately respond to customers’ business needs
Demonstrate the ability to interface effectively and collaborate with clients, peers, and management to help develop solutions and ensure stakeholder buy-in

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.)

Requirements

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
Experience working in a team-oriented, collaborative environment with flexibility and a deep commitment to client service
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%