Responsibilities

• Work with stakeholders throughout client enterprise organizations to identify opportunities for leveraging unstructured data to drive business solutions.
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Develop company A/B testing framework and test model quality.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

Skills and Experience

• Strong problem-solving skills
• Experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
• 5+ years of experience manipulating data sets and building statistical models.
• Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
• NLP: hands-on NLP data wrangler and text-mining model (MaxEnt, NER, POS, LDA) experience using library (Spacy/Gensim/Nltk, Spark/ML, SparkNLP..)
• Experience with index/search (Lucene, ElasticSearch, Solr)
• Statistical ML experience (Classifier, Clustering, Near neighborhood, Dimension Reduction) with model Logistic Regression, Decision Tree, MaxEnt, KNN.
• AI/Deep Learning ML experience (word/sentence/doc embedding, transformer/attention, transfer learning, multi-task learning) using Keras, Tensorflow, PyTorch.
• Big Data analytics experience: Hadoop, Columnar DB, Spark/ML/SQL, SparkNLP, heuristic algorithm
• Visualizing/presenting data using Python, javascript, D3.
• Excellent written and verbal communication skills for coordinating across teams.
• A drive to learn and master new technologies and techniques.
• Masters or PhD in STEM or other quantitative fields (BSc with good programming skill and some solid project experiences is also encouraged to apply)