Data Scientist - 12+ Month Contract
Company Description
Blend is a global AI professional services firm working exclusively with Fortune 500 clients to provide cutting-edge AI, data science, and digital solutions. We focus on creating innovative strategies for our clients across various industries to help them leverage data for optimal business outcomes.
Job Description
Blend is seeking an experienced Data Scientist to work on high-impact projects for our global clients. The ideal candidate will have extensive experience with predictive modeling, marketing mix modeling (MMM), machine learning techniques, and data automation. This role will require a blend of technical skills, client-facing experience, and the ability to operate in ambiguous environments. The candidate should also have a strong grasp of advanced machine learning, reinforcement learning, and deep learning techniques.
The Details:
- Location: 100% Remote
- Pay Rate: Up to $80 per hour (MAX)
- Sponsorship/Work Authorization: No Sponsorship, No C2C
- Equal Opportunity Employer (EOE)
What you’ll do:
- Develop and support Marketing Mix Models (MMM) and forecasting engines for global clients
- Build and maintain predictive models for diverse use cases, including supply chain optimizations, vessel loading predictions, and payment plan optimizations
- Lead machine learning initiatives, leveraging predictive modeling and algorithmic solutions across various industries
- Develop and implement reinforcement learning (RL) agents for advanced AI applications, including gaming and simulations
- Automate data pipelines, including extraction, cleaning, and reconciliation from multiple data sources
- Conduct research on deep learning techniques and simultaneous localization and mapping (SLAM) for advanced navigation systems
- Evaluate AutoML products and recommend best-fit solutions to streamline model development and deployment for clients
- Collaborate with clients to interpret data and present findings, ensuring that insights lead to actionable business decisions
- Communicate effectively with stakeholders, working in the PST timezone
Required Qualifications:
- Extensive experience with Marketing Mix Modeling (MMM), forecasting, and predictive analytics
- Proficiency in SQL, Python, Excel (XLS), and PowerPoint
- Strong understanding of data pipelines and automated data processes
- Expertise in machine learning, including reinforcement learning, deep learning, and AutoML evaluation
- Ability to work in the PST timezone
- Excellent problem-solving skills with a keen attention to detail
- Strong communication skills and experience working directly with clients
Desired Skills:
- Experience with R for demand forecasting and global evaluation frameworks in the medical device industry
- Research experience in SLAM for space and terrestrial navigation systems
- Retail industry experience is a bonus
Technology Stack:
- SQL – Proficient in database management, data manipulation, and querying
- Python – Experienced in predictive analytics, supply chain optimization, and algorithmic trading
- R – Utilized for demand forecasting solutions and evaluation frameworks
- Deep Learning & Reinforcement Learning – Expertise in AI, RL agents, and SLAM research
Additional Information:
- Equal Opportunity Employer (EOE): We are committed to providing equal employment opportunities to all employees and applicants for employment, without regard to race, color, religion, gender, national origin, age, disability, or any other legally protected characteristic.
This role offers the opportunity to apply cutting-edge data science techniques to real-world problems, working with some of the world’s most prestigious clients across multiple industries.
