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Senior Data Engineer with Machine Learning: Azure: Global Energy Company

A World Leading Energy Company has an exciting opportunity for a Senior Data Engineer/Machine Learning Engineer.

Job Purpose:

The Sr. Machine Learning Engineer is responsible for unlocking value for the business through data. Able to identify, mature and deliver opportunities through the value funnel that demonstrate benefits. Strong understanding of the digital and data revolution and its current and future impacts on business. Able to translate business strategy into data-specific actions and interventions, to assess the benefits of new technologies and trends, and have deep understanding of digitalization and data & analytics. Strong stakeholder and change management skills and ability to partner and influence across the organizational ecosystem, including the Business, IT, TDM, Digital Centre of Excellence and Finance & Data Operations.

Job Description:

Sr. Machine Learning Engineer will support our various business vertical teams with insights gained from analysing company data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.

Accountabilities:
Research and develop statistical learning models for data analysis
Collaborate with product management and engineering departments to understand company needs and devise possible solutions
Keep up-to-date with latest technology trends
Communicate results and ideas to key decision makers
Implement new statistical or other mathematical methodologies as needed for specific models or analysis
Optimize joint development efforts through appropriate database use and project design

Skills & Requirements:

Technical Skills:
Demonstrated skill in the use of one or more analytic software tools or languages (eg, R, Python, Pyomo, Julia/Jump, Matlab, SAS,SQL)
Demonstrated skill at data cleansing, data quality assessment, and using analytics for data assessment
End-to-end system design: data analysis, feature engineering, technique selection & implementation, debugging, and maintenance in production.
Profound understanding of skills like outlier handling, data imputation, bias, variance, cross validation etc.
Demonstrated skill in modelling techniques, including but not limited to Predictive modelling, Supervised learning, Unsupervised learning, Machine Learning, Statistical Modeling, Natural language processing, Recommendation engines,
Demonstrated skill in analytic prototyping, analytic scaling, and solutions integration
Developing hypotheses and set up your own problem frameworks to test for the best solutions
Knowledge of data visualization tools - ggplot, Dash, d3.js and Matplottlib (or any other data visualization like Tableau, Qlikview)
Generating insights for a business context

Desirable:
Experience with cloud technologies for building, deploying and delivering data science applications is desired (preferably in Microsoft Azure)
Experience in Tensorflow, Keras, Theano, Text Mining is desirable but not mandatory
Experience to work in Agile and DevOps processes.

Core Skills:
Bachelor or master degree in information technology, computer science, business administration or a related discipline.
Certified in Agile Product Owner/SCRUM master and/or other Agile techniques

Leadership Skills:
Strong stakeholder management and influencing skills. Able to articulate a vision and build support for that vision in the wider team and organization.
Ability to self-start and direct efforts based on high-level business objectives
Strong collaboration and leadership skills with the ability to coach and develop teams to meet new challenges.
Strong interpersonal, communication, facilitation and presentation skills.
Work through complex interfaces across organizational and geographic boundaries
Excellent analytical, planning and problem solving skills

Job Experience Requirements:
Utilize an advanced knowledge level of the Data Science Toolbox to participate in the entire Data Science Project Lifecycle and execute end-to-end Data Science project
Work end-to-end on Data Science developments contributing to all aspects of the project life cycle
Should be able to handle big data, structured, unstructured data and manage the data for further analytical processes
Have an analytical thought process and ability to process complex information.
Keep customers as focus of analysis insight and recommendation.
Help define business objectives/customer needs by capturing the right requirements from the right customers.
Can take defined problems and identify resolution paths and opportunities to solve them; which you validate by defining hypotheses and driving experiments
Can identify unstructured problems and articulate opportunities to form new analytics project ideas
Use and understand the key performance indicators (KPIs) and diagnostics to measure performance against business goals
Compile integrate and analyze data from multiple sources to identify trends expose new opportunities and answer ongoing business questions
Execute hypothesis-driven analysis to address business questions issues and opportunities
Build validate and manage advanced models (eg explanatory predictive) using statistical and/or other analytical methods
Are familiar working within Agile Project Management methodologies/structures
Analyze results using statistical methods and work with senior team members to make recommendations to improve customer experience and business results
Have the ability to conceptualize formulate prototype and implement algorithms to capture customer behavior and solve business problems
Analyze results using statistical methods to make recommendations to improve customer experience and business results

This needs combining with a positive attitude and an ability to work within a large, globally dispersed project team in a multi-cultural environment. You also need to be a self-starter, a logical thinker and a quick learner, with strong initiative and excellent communication, interpersonal and presentation skills, able to write clearly and concisely. We believe in equality of opportunity for all job applicants regardless of gender, marital status, race, colour, nationality, ethnic origin, creed or religion, disability, sexual orientation or age. Specialising within Energy Trading, Oil & Gas, Financial Markets and TV & Entertainment, Eaglecliff Recruitment is ISO accredited, a Member of REC and listed within the top 4% for Financial stability by Dun & Bradstreet. Please telephone for an immediate response or email your CV for a reply within one hour. Eaglecliff Ltd is acting in the capacity of an employment agency for permanent recruitment and an employment business for contractor resourcing
Start date
2021-10-25
Duration
6-12 months Initially
From
Eaglecliff Recruitment
Location
London
Published at
12.10.2021
Project ID:
2226163
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