Software Developer

Robert Half Remote
software data software learning python science team microservices research computer science data science fields nlp
Are you a talented detail oriented with a demonstrated ability to communicate effectively? You could work with Robert Half on a long-term contract / contract / contract / contract / contract / temporary to permanent basis as their Software Developer! If you're looking for work where you can implement new features, maintain existing code, and refactor existing code across a breadth of products used both internally and externally at the company, this Software Developer job might be for you. This Software Developer opportunity will be located in the Princeton, New Jersey area and will be a long-term contract /contract / contract / contract / temporary to permanent position. This role is with a company in the Information Technology industry. Submit an application today!
Responsibilities and Duties: -Understanding the functional requirements of the software and exploring available options to enable the functionalities -Presenting and discussing proposed approaches with the team and arriving at the best viable option -Designing and implementing the designed Python microservices -Testing and deploying the services as part of the overall software -Documenting the research and relevant data -Collaborating with the team and contributing to a learning environmen

Requirements

-2-5 years of experience with Python software development -Bachelor’s in Computer Science, Data Science or related fields -Strong problem-solving skills with an emphasis on product development -Strong experience in processing data and drawing insights from large data sets -Good familiarity with one or more libraries: pandas, NumPy, SciPy etc. -In-depth knowledge of spaCy and similar NLP libraries like NLTK, textacy etc. -Experience with Python development environments, including, but not limited to Jupyter, Google Colab notebooks, Matplotlib, Plotly, and geoplotlib. -Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications of statistical methods. -Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. -Strong experience in a variety of machine learning techniques (clustering, decision tree learning, neural networks, deep learning etc.) and their advantages/drawbacks -Excellent written and verbal communication skills for documenting, reporting and presenting to customers -A drive to learn and master new technologies and techniques
Nice if you have: -Familiarity with one or more of TensorFlow, PyTorch, scikit-learn, Keras, Gensim and rest of Python’s AI ecosystem -Good knowledge of the NLP concepts TF-IDF, Bag of Words (BOW), word vectors, named entity recognition, part-of-speech tagging -Some familiarity with latest research in embedding models, transfer learning, supervised and unsupervised -Experience working with and creating data architectures -Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MongoDB. -Familiarity with modern microservices architectures and cloud environments e.g. Docker, AWS, GCP, Jenkins, Teamcity -Master’s in Computer Science, Data Science or related fields -High degree of analytical and problem-solving skills
For immediate consideration please reach out to Derrick Freligh

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