Data Scientist

Job Title: Data Scientist

Job Description

We are seeking a Data Scientist with expertise in a breadth of machine learning techniques. Your responsibilities will include developing, prototyping, and producing innovative models using a range of techniques including Supervised, Unsupervised, and Reinforcement Learning. We are looking for innovators capable of using generative AI to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.

Responsibilities

• Demonstrate thorough technical knowledge on feature engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models and working with Large Language Models.

• Proficiency in both Supervised (e.g., Linear/Logistic Regression) and Unsupervised Learning techniques (e.g., K-means).

• Understand the business reality behind large sets of data and develop meaningful solutions comprising of analytics as well as marketing management.

• Work closely with internal stakeholders such as the business teams, engineering teams, and partner teams to align them with respect to your focus area.

• Innovate by adapting new modeling techniques and procedures.

• Passionate about working with huge data sets, training/fine-tuning, and bringing datasets together to answer business questions. You should have deep expertise in creation and management of datasets.

• Implement and operate stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault-tolerant, self-healing, and adaptive.

• Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers.

Essential Skills

• 6+ years of experience as a data scientist or in a similar role involving data extraction, analysis, statistical modeling, and communication.

• Bachelor's degree in computer science, engineering, mathematics, or equivalent.

• Experience with statistical models such as multinomial logistic regression.

• Proven knowledge of deep learning and experience hosting and deploying ML solutions (e.g., for training, tuning, and inferences).

• Experience with data extraction.

Additional Skills & Qualifications

• Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).

• Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science.

• Working knowledge of generative AI and hands-on experience in deploying and hosting Large Foundational Models.

Work Environment

This is an on-site position based in Colorado.

All qualified candidates are encouraged to APPLY TODAY

Pay and Benefits

The pay range for this position is $50.00 - $52.00

• Medical, dental & vision• Critical Illness, Accident, and Hospital• 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available• Life Insurance (Voluntary Life & AD&D for the employee and dependents)• Short and long-term disability• Health Spending Account (HSA)• Transportation benefits• Employee Assistance Program• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Thornton,CO.

Application Deadline

This position will be accepting applications until Dec 13, 2024.

About Actalent

Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500.

Diversity, Equity & Inclusion

At Actalent, diversity and inclusion are a bridge towards the equity and success of our people. DE&I are embedded into our culture through:

• Hiring diverse talent

• Maintaining an inclusive environment through persistent self-reflection

• Building a culture of care, engagement, and recognition with clear outcomes

• Ensuring growth opportunities for our people

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com (%20actalentaccommodation@actalentservices.com) for other accommodation options.