Data Scientist

Key Skills

AWS Sagemaker, Azure, Computer Vision (CV), Databricks, Jupyter Notebook, Keras software library, MxNet, NumPy, ONNX, Pandas, plotly, Python Programming, R-Shiny, Scikit-learn, Spark Core, SQL, TensorFlow, Zeppelin

Job Description

About DXC Bulgaria 

We are DXC - a Fortune 500 global IT services leader. In Bulgaria, we are among the largest employers with over 4,000 employees working on the company's entire IT portfolio. We are flexible - we provide everything you need to comfortably work from home, but we also keep our offices open for collaboration, meetings, and building a strong team spirit. We tailor everyone’s development path to their individual interests through training and additional certifications.

Our experience and desire to grow, our mission, and our values ​​create an environment where ambitious people become successful at home. At home - in Bulgaria.

Data Scientists are members of the Analytics team in Bulgaria. They work on different Analytics projects to give valuable insights for our clients. Our Data Scientists are working with cutting-edge technologies to deliver solutions that solve major business challenges. Some of these include Machine Learning, Deep Learning, Natural Language Processing, and Computer Vision, using: Python Pandas, NumPy, MatPlotLib, Scikit Learn, OpenCV, TensorFlow, PyTorch, Jypiter, Keras, Caffee, Spark, and others.

Here you will gain hands-on experience working with world-famous brands and Fortune 500 companies in a diverse team where everybody has a lot to contribute with - including yourself! The team is constantly growing with over 180 experts in the field.

As a member of our Big Data and Analytics team, your work can inspire change for DXC’s highest-profile global customers. We live in a data-driven world where data can be leveraged for reporting & analyses and for data-driven products and applications. Our team has strong experience in Analytics solutions, Data Engineering and Data Science.

Join our Analytics Team!

Daily challenges

• Research and develop complex statistical learning and machine learning models for data analysis

• Assess the effectiveness and accuracy of new data sources and data gathering techniques

• Implement complex statistical or other mathematical methodologies as needed for specific models or analysis

• Use predictive modelling to increase and optimize customer experiences, revenue generation, and targeting and other business outcomes

• Mine and analyse data from various data sources to drive optimization and improvement of client needs and business strategies

• Develop custom data models and algorithms to apply to data sets

• Work with a variety of statistical computer languages to manipulate data and draw insights from large data sets

eXperience and skills required

• Languages: Python and SQL

• Managed Solution: AWS SageMaker, Azure OpenAI Service, Azure ML Studio, Databricks

• ML packages: TensorFlow, MXNet, Keras, SciKitLearn, cv2, Spark MLLib, onnx, tflite

• Notebook environments: Jupyter, Zeppelin

• Data science general: Numpy, pandas, plotly, shiny

• Advanced statistical techniques and concepts: Generative AI, regression, properties of distributions, statistical tests, and proper usage, etc.

• Practical experience with variety of machine learning techniques: Computer vision, Clustering, Decision tree learning, Linear and Non-linear Modelling, Data Mining, Artificial neural networks, NLP, etc.

Company benefits

• Competitive remuneration package

• Additional Medical and Life insurance

• 4 days additional paid leave (total: 24 days)

• The possibility to work entirely remotely

• Food vouchers

• Training, continuous learning and career development in the largest IT company on the market

• Unlimited access courses from a bunch of external partners for the best learner's experience (e.g., LinkedIn Learning, Udemy)

• Access to a foreign language learning platform

• Stable employment in an international company

• Advancement opportunities within the organization (a variety of interesting projects with the array of technologies and tools)

• Flexibility in work arrangement (hybrid or fully remote work, the home office culture is in our DNA)

• Workplace equipment to organize your home office (e.g., chair, desk, additional monitor, headset etc.)

• DXC Partner courses and certifications (Microsoft, SAP, ServiceNow, AWS, Google, Dell Technologies, IBM, Microfocus, Salesforce, Red Hat, VMware, Workday)

• Employee Referral Program - a financial bonus for the referrer for successful candidate recommendation

• Employee Recognition Program with points assigned by colleagues for the recognized employees (exchangeable for prizes)

• Employee Assistance Program (providing 24/7 support for employees and their families in difficult life situations)

• Opportunity to join our numerous charity and ecology-related events organized by our Employee Ambassadors team