Senior Data Scientist (Product)

Eliassen Group; Springfield (IL); Remote; USD 100,000 - 125,000; Full time

Job summary

A leading strategic consulting company is looking for a Senior Data Scientist to lead the development of machine learning solutions remotely. Candidates with extensive experience in building and deploying models are preferred. This role involves collaboration across teams, designing automated pipelines, and mentoring junior staff. A Bachelor's degree and strong Python proficiency are required, with a focus on deep learning applications.

Benefits

Medical, Dental, and Vision benefits

401k with company matching

Life insurance

Qualifications

• 5+ years of industry experience in applied machine learning.
• Experience in deep learning and neural network applications.
• Bachelor's degree or higher in related field preferred.

Responsibilities

• Design and evaluate machine learning models for various applications.
• Collaborate with product managers to solve business challenges.
• Mentor junior data scientists and lead technical discussions.

Skills

Proficiency in Python

Deep understanding of neural networks

Experience with ML libraries (scikit-learn, TensorFlow)

Model evaluation and optimization

Experience with cloud platforms

Machine learning model deployment

Education

Bachelor’s degree in Computer Science or related field

Tools

TensorFlow

Keras

PyTorch

Job description

Senior Data Scientist (Product)

Anywhere

Type: Contract

Category: Data

Industry: Financial Services

Workplace Type: Remote

Reference ID: JN -072025-102822

Date Posted: 07/10/2025

Shortcut: http://careers.eliassen.com/lfMlor

• Description

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Description:

100% Remote

Our client, an industry leader in financial services and money transfers, has an excellent opportunity for a Senior Data Scientist (Product) to work on a 6+ month contract. Work will be remote, candidates local to Denver preferred. The Senior Data Scientist will lead the development of machine learning and deep learning solutions that power intelligent decision-making and innovative products. This role is ideal for someone with extensive experience in building, evaluating, and deploying ML and neural network models in production environments. You’ll collaborate cross-functionally to create and scale real-world AI applications that have a direct impact on users and business performance.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75 - $87 / hr. w2

Responsibilities:

• Design, build, and evaluate machine learning and deep learning models for classification, regression, recommendation, NLP, computer vision, and time-series forecasting.

• Apply deep learning techniques (e.g., CNNs, RNNs, LSTMs, Transformers) to solve complex, data-intensive problems.

• Lead the development of ML products, from model prototyping through production deployment, performance monitoring, and continuous improvement.

• Select appropriate architectures and hyperparameters, optimize model performance, and use proper evaluation metrics (e.g., AUC, F1, BLEU, IoU, perplexity) based on the use case.

• Collaborate with product managers and engineers to translate business challenges into deployable solutions using AI/ML.

• Design automated pipelines for data preprocessing, feature engineering, training, and inference (batch or real-time).

• Evaluate model drift, monitor performance post-deployment, and implement retraining pipelines as part of a production MLOps system.

• Mentor junior data scientists, contribute to code reviews, and lead technical discussions across the data science and engineering teams.

Experience Requirements:

• 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.

• Experience in Banking, Payments or Financial Services formulating AI data solutions that allow us to leverage our data to know our customers better and target our resources for better market penetration and focused attention and education.

• Proficiency in Python and ML libraries such as scikit-learn, XGBoost, TensorFlow, Keras, or PyTorch.

• Deep understanding of neural networks, model regularization, overfitting/underfitting prevention, and GPU-accelerated training.

• Experience with customer data enrichments.

• Proven track record of building, evaluating, and deploying machine learning models at scale in production environments.

• Experience with cloud platforms (AWS/GCP/Azure), containerization, and model serving technologies.

Education Requirements:

• Bachelor’s degree in Computer Science, Statistics, Applied Math, or related field (Master’s or PhD strongly preferred).

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact [e-mail].

About Eliassen Group:

Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate.

Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!