Data Management Services, Inc. (dba: DMS International) is a professional services firm headquartered in Silver Spring, Maryland, with work locations throughout the continental United States. We prepare managers and executives to lead their workforce through customized learning solutions that drive the standards of an ever-changing world. We build creative, unique and engaging learning experiences for commercial, civilian and defense organizations. Our high-caliber talent, delivery methodology and innovative solutions contribute to preparing a workforce that is ready for the future. You can join us on this journey to bring efficiency and creativity to our customers.
At DMS International (DMS), we are the catalyst for effective workforce transformation. To achieve this, we hire professionals who take pride in doing quality work and who are excited about contributing to the professional development of tomorrow’s leaders. We are also committed to leveraging data-driven insights to develop and deploy AI infused models into existing business functions. DMS currently uses Watsonx and Hugging Face as a platform to assist its professional development programs.
DMS seeks candidates that possess and display the attributes that reflect our Core Values of:
- Quality in delivering solutions,
- Leadership,
- Innovation,
- Teamwork,
- Integrity in conduct,
- Responsiveness to our customer’s mission
DMS International is an equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.
Job Description
DMS is seeking a talented and motivated Data Scientist Intern to join our dynamic team. As a data scientist at DMS International, you will play a crucial role in analyzing complex datasets, deriving actionable insights, and developing innovative solutions to drive business growth. You will identify the proper foundation models to integrate AI products.
Responsibilities
- Utilize advanced statistical and machine learning techniques to analyze large volumes of data and extract meaningful insights.
- Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions to address them.
- Design and implement predictive models, algorithms, and statistical analyses to solve specific business problems.
- Conduct thorough exploratory data analysis to uncover trends, patterns, and correlations within the data.
- Develop and deploy machine learning models into production environments, ensuring scalability and reliability.
- Work closely with stakeholders to communicate findings and recommendations effectively.
- Stay abreast of the latest developments in data science, machine learning, and related fields, and apply cutting-edge techniques to enhance our analytical capabilities, particularly the Watsonx set of products.
Qualifications:
- Bachelor’s degree in computer science, Statistics, Mathematics, or related field. Master’s degree is preferred.
- Strong proficiency in programming languages such as Python or R, with experience using data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy).
- Solid understanding of machine learning algorithms and techniques, with hands-on experience in model development, validation, and deployment.
- Experience with data visualization tools (e.g., Cognos, Seaborn, Tableau) to effectively communicate insights and findings.
- Excellent problem-solving skills and the ability to work independently as well as collaboratively in a fast-paced environment.
- Strong communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
- Experience with SQL and relational databases for data extraction and manipulation is a plus.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud, IBM Cloud) and big data technologies (Watsonx) is desirable.
Location
- Remote
Position Type
- Part-Time
dms Tableau pandas Data Science Artificial intelligence (AI) data-management Python Amazon Web Services (AWS) Hugging Face Azure Cognos R ibm-cloud Google Cloud Platform (GCP) NumPy SQL seaborn SciPy