Data Scientist

Key Skills

Java Programming, Python Programming, SQL, DevOps, Azure, AWS, Scala Programming, Machine learning techniques, Jenkins, Keras software library, MATLAB Programming, Natural Language Processing (NLP), NoSQL, NumPy, Pandas, PyTorch, TensorFlow, Apache Airflow, Docker, Kubernetes-K8s, Natural Language Toolkit - NLTK, R Programming, Kubeflow, MLflow, matplotlib, Linux Operating system, OpenCV, Dataiku, Regular expression - RegEx, VR/AR frameworks

Job Description

DXC Technology (DXC: NYSE) helps global companies run their mission critical systems and operations while modernizing IT, optimizing data architectures, and ensuring security and scalability across public, private and hybrid clouds. With decades of driving innovation, the world’s largest companies trust DXC to deploy the enterprise technology stack to deliver new levels of performance, competitiveness and customer experiences.

At DXC our employees’ safety and well-being remain a key priority for us. Therefore, we continue with stay-at-home-recruiting and video interviewing for the foreseeable future.

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.

Data Scientist? 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.

Join our Analytics team!

We are growing our Analytics team which is based in Sofia and Varna, but also offering fully remote positions in Bulgaria!

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.

Job responsibilities:

• Research and develop complex statistical learning and machine learning models for data analysis
• Understanding information needs and extracting data from a variety of sources in order to create analytics deliverables that meet those needs
• 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
• Optimize joint development efforts through appropriate data source use, data transformation techniques and project design

Experience with any of the technologies below will be an advantage:

• Practical experience with statistical computer languages and tools: R, Python, Scala, SQL, Matlab, etc.
• Practical experience with variety of machine learning techniques: Clustering, Decision tree learning, Linear and Non-linear Modelling, Data Mining, Artificial neural networks, NLP, etc.
• Advanced statistical techniques and concepts: regression, properties of distributions, statistical tests and proper usage, etc.
• Experience with Linux OS and Bash scripting
• Platforms: Azure, AWS, GCP, Dataiku, IBM Watson, Databricks
• Machine Learning: Linear Regression, Logistic Regression, Support Vector Machine, Decision Tree, Random Forest, K-means, K Nearest Neighbors, Naïve Bayes, Natural Language Processing, Deep Learning, Image Processing, etc.
• Packages / Frameworks: Sklearn, Pandas, Regex, NumPy, OpenCV, TensorFlow, PyTorch, Keras, NLTK, Matplotlib
• Tools: Open-Source tools and cloud-native tools (AWS SageMaker, Databricks, Azure Machine Learning) for ML development and MLOps
• Databases: RDBMS and NOSQL
• Other ML Engineering and DevOps tools: Docker, Kubernetes, Kubeflow, MLflow, Airflow, Jenkins, Azure DevOps

Our key benefits:

• Onboarding DevOps Training program - based on the real project that you will be assigned and a senior engineer as a training buddy.
• Competitive remuneration package
• Flexible working hours
• Working from home option
• 4 days additional paid leave (total:24 days)
• Food vouchers
• Company Paid Trainings & Certifications
• Benefit system (Multisport card)
• Employee Assistance Program
• Private Medical Care
• Life Insurance

Sounds interesting? Join the team.

Apply today!

DXC Technology stands for equal opportunities, namely, we do not discriminate?on the basis of?race, religion, color, sex, age, disability, or sexual orientation.? All recruitment decisions are based solely on qualifications, skills, knowledge and experience, and relevant business requirements.?

Please note only shortlisted candidates will be contacted.

This is to inform you that DXC Technology is registered as an administrator of personal data to the Commission for Data Protection. Some of the information that you provide voluntarily is personal information and falls under the special protection regime under the Law on Personal Data Protection. The personal data provided by you will be processed for the purposes of the selection process as well as for the realization of the legitimate interests of the data controller in respect of any future contract of employment. DXC takes the responsibility to handle, use and store your personal data, ensuring its protection in secret from the third parties. We inform you and you agree that DXC may provide your personal data to government, municipal institutions, banks, companies, corporate bodies and individuals, where such obligation exists under a special legal provision, where it is necessary for realization of your rights and legal interests as a participant in the selection process, and when it is necessary to realize the legitimate rights and interests of DXC. DXC can provide your personal information to corporate bodies and individuals who are assigned to actions and activities relating to the selection process and in respect of any future contract of employment.