Senior Data Science Software Engineer (Python Focus)

Tschach Solutions GmbH Company

Überblick

unbefristet
Keine Angabe
Vollzeit
Berufserfahren
nur vor Ort

KI-Zusammenfassung

You will maintain and enhance Python applications, supporting Data Scientists and developing new features, to put the human in the loop with Data Science models.

Erforderliche Skills

Software EngineerOperational MaintenanceData AnalyticsData Science

Ausbildung

Bachelor's Degree

Tools & Technologien

Python (Dash)PostgreSQLAWS

Sprachen

Englischfließend
Deutschfließend

Deine Aufgaben

  • Maintain Python (Dash) applications
  • Support Data Scientists
  • Develop new application features
  • Manage operational models
  • Review and debug code
  • Enable team communication
  • Coach Data Scientists

Benefits

Stable job environment

Vibrant working environment

Flexibility

Loyalty

Empowerment

Fitness studio

20 days work from anywhere

2 days additional leave

Unternehmen

Tschach Solutions GmbH Company

ICIS, part of RELX, provides data services and decision tools for energy, petrochemical, and fertilizer industries, shaping the world by connecting markets to optimise valuable resources.

1001+ Mitarbeitende
BrancheIT

Unternehmenskultur

Inclusive, dynamic, and committed team with a start-up atmosphere, focusing on diversity and inclusion.

Nachhaltigkeit & ESG

Committed to diversity and inclusion, with 50% women in leadership and over a third of technology team being female.

Diversity & Inclusion

Equal opportunity employer, committed to diversity and inclusion, with 30 diversity employee networks globally.

Originale Stellenbeschreibung

Senior Data Science Software Engineer (Python Focus) m/f/d

Karlsruhe | Full time

Position: Senior Data Science Software Engineer (Python Focus) m/f/d

Location: Karlsruhe

Related fields: Application Development, Data Science Platform, Full Stack Developer, Data Visualization, Analytics, Data Science, Time Series Analysis, Agent based modelling, Economics

The Department

Our Data Science team in our Analytics office in Karlsruhe provides forecast models, interactive analytical tools and predictive scenarios to market professionals. We apply a wide range of advanced analytics techniques from economics, statistical to machine learning & AI, optimisation and agent-based models on internally and externally sourced expert reviewed data. We predict future developments of prices, supply, demand and trade flows for the commodity markets we cover.

Job Purpose

Are you an experienced Software Engineer / Developer and looking to get closer to Data Science? Are you interested in leaving the short-term project stress and staying on an asset for a longer term? As Senior Software Engineer for Data Science at ICIS, you will join our experienced Data Science team of 25 and complement our technical capability to operationally deploy and maintain Data Science models and model interfaces. Your primary focus will be on our central analytical web platform and forecast application which our market experts use to execute, configure, review and share forecast models and data. This Data Science Python (Dash) application visualises relevant forecast data and cross-dependencies across more than 100 interconnected commodities across all major global regions. It is the central backbone of ICIS’ forecast process and provides collaborative workflow functionality to international users across 4 continents. In your role, you will technically look after and maintain the application. You will also work closely in an agile backlog-driven process with the product owner and our Data Scientists to implement and roll out further enhancements. For this, you will think about good testing strategies, code improvements, automated operational checks and troubleshooting. You will also coach Data Scientists on software engineering best practises.

Key Accountabilities/Responsibilities:

  • Maintain and enhance applications in Python (Dash) to put the “human in the loop” with Data Science models

  • Support Data Scientists on maintenance and improvements of the code base and code structure for operational models and backend data architectures

  • Develop, test, and roll out new application functionality and change requests following product owner prioritization

  • Manage operational models & applications (monitoring, refactoring, update of live services)

  • Review and debug code and ensure good code documentation

  • Enable efficient communication across teams through fast prototyping and demos of potential solutions

  • Continuously learn about software engineering best practices for Data Science and guide and coach our Data Scientists on it

  • Prospectively

  • create a generalised framework for human in the loop interaction on Data Science models

  • in close collaboration with our central IT team architects and web developers create interactive Data Science model apps for the public internet (architecture tbd)

Key Skills/Experience Required:

  • A proven track record as software engineer

  • Experience with operational maintenance of live applications, refactoring, and release management

  • Excellent Python skills and experience with Python packages for applications (such as Dash)

  • Professional use of version control tools in projects involving several developers

  • Experience with designing and managing containerized applications and familiarity with cloud platforms (e.g. AWS)

  • Data handling knowledge and experience using relational databases (e.g. PostgreSQL)

  • Preferably previous exposure to Data Analytics or Data Science

  • Interest in working on analytics and forecasting projects heavily reliant on human / machine collaboration

Behaviours:

  • Reliable operator, passionate about providing a world-class customer experience

  • Fluent in English and constructive and collaborative problem-solving communication

  • Agile, value-oriented mindset

  • Curious about everything, willing to ask questions and challenge the status quo to provide better customer, employee, and business outcomes

  • Obsessed with continuous learning and getting better at what we do with the ability to embed this within your team

We offer:

  • A highly stable job environment part of a company with 30,000 employees

  • A vibrant working environment in a dynamic, inclusive, ambitious and committed team which drives Data Science forward and keeps a start-up like atmosphere

  • Flexibility, loyalty, empowerment, and trust as part of our corporate culture

  • Benefits, eg fitness studio, 20 days work from anywhere and 2 days additional leave for social engagement

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. At ICIS, we are committed to Diversity and Inclusion, we have a leadership team who are 50% women and more than a third of our technology team are female.

At LexisNexis Risk Solutions, having diverse employees with different perspectives is key to creating innovative new products for our global customers. We have 30 diversity employee networks globally and prioritize inclusive leadership and equitable processes as part of our culture. Our aim is for every employee to be the best version of themselves. We would actively welcome applications from candidates of diverse backgrounds and underrepresented groups.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form: https://forms.office.com/r/eVgFxjLmAK , or please contact 1-855-833-5120.

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