Senior Data Scientist

Role: Senior Data Scientist

Fulltime position

Pay: $134393.00 $142338.00 per year

Visa: USC GC Only

USC GC only

Location: Hoffman Estates IL ( Onsite )

Insurance highly preferred

PLEASE NOTE: This is a fulltime opening and needs to meet Client fulltime policies. Those dependent on a work permit sponsor now or anytime in the future (ie H1B OPT CPT etc) do not meet Client requirements for this opening.

Responsibilities:

• Use stateoftheart deep learning approaches (e.g. CNN transformer RNN/LSTM/GRU GCN/GNN) to extract value from massive amounts of unstructured data (text images).
• Design and develop machine learning and deep learning systems
• Mentor junior team members in the formulation execution and delivery of machine learning models. Operate as a technical leader on the project scrum team.
• Write productionready code to deliver endtoend AI solutions working closely with Software Data MLOps and ML Platform engineers.
• Create large well curated datasets for training models often using advanced methods to obtain sufficient annotations.
• Contribute to the development of our model monitoring framework to ensure the algorithms are performing as intended.
• Collaborate with business stakeholders to understand their challenges and develop leading technology that delivers business impact.
• Support stakeholders after deployment to ensure impact is achieved.
• Contribute to the development and adoption of best practices and tooling.
• Stay up to date with the latest advancements in the field and how they can support a variety of initiatives.

Senior Data Scientist Basic Qualifications:

• High School Diploma or Equivalent with 7 or more years of experience in Computer Science Statistics or Mathematics and experience transforming data in the business analysis area
• OR
• Associate Degree in Computer Science Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area

OR

• Bachelors Degree in Computer Science Statistics or Mathematics and 5 or more years of experience transforming data in the business analysis area

OR

• Masters Degree in Computer Science Statistics or Mathematics and 3 or more years of experience transforming data in the business analysis area
• PhD in Computer Science Statistics or Mathematics and 1 or more years of experience transforming data in the business analysis area

OR

Senior Data Scientist AVP Basic Qualifications:

• Bachelors Degree in Computer Science or Engineering or Mathematics/Statistics or Technology and 8 or more years of experience in the Predictive Analytics area
• AND
• Experience applying data transformation techniques such as exact and probabilistic matching methods; fuzzy matching text mining and data reduction
• Experience with programming and database mining tools such as Hadoop Hive Pig Java SQL and Python

Preferred Qualifications:

• Demonstrated experience delivering deep learningbased solutions to solve business problems.
• Experience deploying machine learning models to production particularly in a cloud environment (i.e. Azure AWS GCP).
• Significant experience with machine learning and deep learning frameworks such as sklearn and PyTorch/Tensorflow/Keras.
• Significant experience working with large amounts of unstructured data such as images and text. Experience with unsupervised selfsupervised semisupervised contrastive learning and transfer learning methods is a plus.
• Advanced knowledge of finetuning (e.g. PEFT LoRA RLHF) and customizing large language models (e.g. GPT BERT FlanT5 Llama Dolly BART) embedding approaches (e.g. Word2Vec tSNE) prompt engineering and vector databases.
• Strong software engineering skills including familiarity with best practices around version control (e.g. Git Azure DevOps) testing (e.g. PyTest unittest) containerization (e.g. Docker) and experiment tracking (e.g. MLFlow).
• Experience with distributed data processing technologies (e.g. pyspark).
• Prior experience building NLP data pipelines using a variety of data sources.
• Familiarity with graphical methods graphdatabases and pattern mining techniques.
• Advanced knowledge of statistical and predictive modeling techniques such as machine learning decision trees probability networks association rules clustering regression GLMs SVMs HMMs and neural networks and their application to business decisions.
• Ability to explain deep technical concepts to both technical and nontechnical audiences.
• Past experience as a technical lead scrum master or technical product owner.
• Advanced analytical and problemsolving skills.
• Ability to mentor more junior team members.
• Experience working in an agile framework such as scrum or kanban.
• Strong verbal and written communication skills