Data Scientist Job at Starr And Associates LLC in Atlanta

HELP FURTHER INDUSTRY PERFORMANCE AND INNOVATION.

WORK WITH GENUINE AND THOUGHTFUL COLLEAGUES.
HAVE FULL OWNERSHIP OF YOUR PERSONAL BRAND WHILE CONTRIBUTING TO OURS.

 Job Overview:

Starr & Associates (S&A) is dedicated to improving commerce and society by enhancing consumer delight, enterprise value, and employee satisfaction among our clients. We support and hire individuals who think BIG while recognizing that significant change often starts with seemingly small gestures. We help large organizations become nimbler, enabling them to reduce waste, enhance performance, and deliver on their brand promise.

We are deeply involved in the biopharmaceutical and medical devices industries, and we are seeking to further strengthen our expertise in areas like machine learning, deep learning, and data science. Our goal is to bring in a Senior Data Scientist with specialized skills in algorithm and software development (Python), data analysis, scientific research, and cloud computing. This role will help us enhance our capabilities in classical and deep learning, pattern recognition, computer vision, image processing, natural language processing (NLP), natural language generation (NLG), and mathematical modeling & simulation. With these skills, you will be instrumental in applying cutting-edge ML and AI techniques to extract insights from time series, imaging data, and other complex data sources, driving even better outcomes for our clients.

We are currently seeking a Senior Data Scientist Consultant with a minimum of 5 years of consulting experience to join our team. In this consulting position, you will work with large enterprise customers to implement solutions utilizing machine learning, artificial intelligence, and predictive analytics. Your responsibilities will include leading data science projects, developing and implementing advanced predictive models, machine learning, and AI solutions, analyzing complex data sets, and providing strategic guidance to clients in a variety of industries.

At Starr & Associates, your contribution will matter. We are striving to become a brand synonymous with 'excellence in service,' 'transformation,' 'dependability,' and 'effectiveness.' Our success depends on adding the right talent to further grow our impact in the industries we serve. We want you to excel and help us achieve even greater collective success.

 Technical Skills:

·       Python, 

·       R, 

·       PyTorch, 

·       TensorFlow, 

·       Deep Learning Algorithms (Transformers, Self-Supervised Learning, Weakly-Supervised Learning, Convolutional Neural Networks)

·       ETL and Visualization Tools

 Duties & Responsibilities:

·       Apply ML and Generative AI to build solutions that extract insights from time series and imaging data.

·       Lead data science projects from inception to completion, including data exploration, model development, and deployment.

·       Work with clients to understand their business needs and develop machine learning, AI, and predictive solutions to address their challenges.

·       Collaborate with cross-functional teams to build and implement predictive models, machine learning algorithms, and statistical models.

·       Communicate complex AI and machine learning concepts to both technical and non-technical stakeholders, including senior executives.

·       Conduct research and stay up-to-date on the latest techniques in machine learning, AI, and predictive analytics, applying them to client projects.

·       Mentor junior team members and contribute to their growth.

 Education:

PhD in Computer Science, Data Science, Statistics, or a related field preferred.

 Required Skills:

·       2+ years of experience in data science, with a focus on machine learning, AI, and predictive analytics.

·       Expertise in machine learning algorithms, AI, and predictive analytics, with a proven track record of delivering data-driven solutions.

·       Proficient in statistical analysis tools such as Python, R, TensorFlow, and Scikit-learn.

·       Experience in using data visualization tools like Tableau or Power BI.

·       Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.

·       Strong communication skills and ability to work with clients to define data management requirements.

·       Ability to manage multiple projects simultaneously, delivering high-quality solutions on time.

·       Experience with large and complex datasets, including data cleaning, transformation, and integration.