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Careers in Engineering and Technology

Engineering and Technology

Lead Data Scientist

今すぐ応募する 採用情報 ID R1913160 掲載日 Oct. 29, 2019

Responsibilities:

  • Work with sales, management and sales operations stakeholders to deliver data science solutions to support the improvement of their planning and delivery processes
  • Develop Advanced Analytical solutions which can be updated to support various sales cycle activities
  • Proactively develop Advanced Analytics solutions to improve forecasting capabilities
  • Proactively develop Advanced Analytics solutions to improve account planning
  • Identify key patterns in customer behaviour
  • Develop Advanced Analytics solutions to identify key business drivers
  • Support the delivery and continuous improvement of existing Advanced Analytical solutions
  • Provide training to other team members on your area of expertise
  • Proactively investigate, report and – where possible - address data quality issues  
  • Engage and present to sales and management stakeholders   

Required Skills:

  • Masters in Computer Science, Engineering, Statistics, Applied Math, or similar disciplines
  • 4+ years experience as a data scientist on high-performing analytics teams
  • Hands on experience with developing propensity models (to buy, to sell, to respond), segmentation, cross-sell/up-sell models, forecasting using Python, R or any other language/Machine learning libraries.
  • Solid fundamentals, knowledge of supervised, unsupervised, reinforcement learning machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, temporal difference methods, sequence modeling, probability theory, algorithm design and theory of computation, information retrieval
  • Solid fundamentals, knowledge of supervised, unsupervised, reinforcement learning machine learning and deep learning algorithms, such as classifiers, cluster analysis, dimension reduction, regression, CNN, RNN, DQN, temporal difference methods, sequence modelling, probability theory, algorithm design and theory of computation, information retrieval
  • An expert in at least one of the machine learning frameworks - Keras, Tensorflow, PyTorch, etc, as well as programming, visualization, and statistical tools such as R, JMP, SAS, Tableau, Python, Perl, Java/C++
  • Passion in reaching a deep understanding of business problems and solving them by applying machine learning solutions
  • Experienced in developing natural language processing techniques and text analytics (e.g. word2vec, doc2vec, attention, LDA)
  • Highly motivated, team player with an entrepreneurial spirit and strong communication and collaboration skills. Leadership skills to guide the team to master new technologies and clearly communicate results to a technical and non-technical audience
  • Capable of presenting results to executive stakeholders
  • Comfortable collaborating with cross-geo teams
  • Strong ability in defining, measuring, reporting, and communicating net impact of data science solutions
  • Strong understanding in deployment of data science models in an enterprise B2B technology environments

VMware offers:

  • Attractive compensation package - competitive salary, flexible bonus scheme, company sponsored mobile phone plan and additional long term incentives
  • Individual career path - management and technical career growth, enhanced by learning and development program, regular performance assessment, teams of world-wide IT professionals
  • Healthy work environment - company sponsored medical program, food and beverage program, sport activities, open communication
  • Work-life balance – 25 days paid vacation, team buildings and celebrations

All applications will be treated with strict confidentiality.

As part of the VMware global standards for integrity you will be required to go through a pre-employment screening process before you join.

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  • Engineering and Technology, ソフィア, Sofia-Grad, ブルガリア共和国削除