Job#: 2054681
Job Description:
We are seeking a seasoned Data Scientist with over 3 years of experience in AI/ML, ideally with some exposure to Generative AI. You are a humble, collaborative individual who thrives in a fast-paced environment and is passionate about developing and delivering data analytics and machine learning models that drive business impact.
Responsibilities:
- Gain a deep understanding of business problems and translate them into effective business solutions.
- Act as a full-stack data scientist to develop and deliver advanced analytics models, including classification, time series, LLM, and more.
- Collaborate internally and externally to identify new data sources and explore their potential for actionable business results.
- Work independently with minimal guidance, taking ownership of projects and delivering results.
- Foster a collaborative team environment, showing the highest respect for team members and their contributions.
- Demonstrate curiosity about data, seeking to understand its underlying patterns and relationships.
- Ensure high-quality data and solutions throughout the development process.
- Communicate analytical results effectively to various audiences.
- Generative AI
- Predictive modeling
- Data exploration
- Experience in Generative AI
- Experience in legal or regulatory domains
- Over 5 years of experience in data science and analysis, including full-time work and research/academia experience
- Certifications in Google Cloud Platform (GCP) or other cloud platforms
- Over 3 years of experience in AI/ML, preferably with some experience in Generative AI
- Strong skills in data acquisition, algorithm design, model development, and refinement
- Experience with big data technologies, cloud-based data platforms (e.g., GCP, AWS), and business intelligence tools (e.g., Qlik Sense, Looker, Streamlit, Dash)
- Excellent oral, written, and interpersonal communication skills
- Ability to work collaboratively and drive results in a fast-paced environment
- M.S. in Data Science, Business Analytics, Machine Learning, Computer Science, or a related quantitative field
- Ph.D. in Data Science, Business Analytics, Machine Learning, Computer Science, or a related quantitative field
- Hybrid work environment
EEO Employer
Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178.
Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
VEVRAA Federal ContractorWe request Priority Protected Veteran & Disabled Referrals for all of our locations within the state.We are an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other protected characteristic. The EEO is the Law poster is available here.
