Jobs for People with MS: National MS Society

Data Scientist

Washington, DC – hybrid/onsite

6-12 month contract

Technical Skills:

Programming:

• Proficiency in Python and R is crucial. These languages are the workhorses of data science.

• Strong SQL skills for database management and data retrieval.

• Familiarity with other languages like Scala or Java for big data processing can be beneficial.

Statistical Analysis and Mathematics:

• A solid understanding of statistical concepts like probability, hypothesis testing, and regression analysis.

• Knowledge of linear algebra, calculus, and other mathematical foundations.

• Ability to apply statistical methods to extract meaningful insights from data.

Machine Learning and Artificial Intelligence (AI):

• Expertise in various machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning).

• Deep learning knowledge for complex tasks like image and natural language processing.

• Experience with machine learning frameworks like scikit-learn, TensorFlow, and PyTorch.

Data Wrangling and Database Management:

• Ability to clean, preprocess, and transform data from various sources.

• Experience with database systems (e.g., relational, NoSQL).

• Proficiency in data manipulation tools and techniques.

Data Visualization:

• Ability to create clear and compelling visualizations using tools like Matplotlib, Seaborn, and Tableau.

• Skill in communicating data insights effectively through visual representations.

Big Data Technologies:

• Familiarity with big data platforms like Hadoop and Spark. (optional)

• (essential)Knowledge of cloud computing platforms (e.g., AWS, Azure, Google Cloud).

Natural Language Processing (NLP):

• Understanding of NLP techniques for text analysis, sentiment analysis, and language modeling.

Soft Skills:

Problem-Solving:

• Ability to define problems, develop solutions, and implement them effectively.

• Strong analytical and critical thinking skills.

Communication:

• Ability to communicate complex technical concepts to both technical and non-technical audiences.

• Strong presentation and storytelling skills.

Business Acumen:

• Understanding of business objectives and the ability to translate data insights into actionable strategies.

• Ability to identify opportunities for data-driven innovation.

Collaboration:

• Ability to work effectively in teams and collaborate with stakeholders from different departments.

• Adaptability and a willingness to learn.

In essence, we need a very capable data scientist that possesses a strong blend of technical expertise and soft skills, enabling them to extract valuable insights from data and drive meaningful business outcomes. Big plus if they have worked with non-profit, large trade organizations or non-profit and (kina of a reach) knows something about the build industry – architecture, design, etc.

#M2

Ref: #850-Rockville (ALTA IT)

System One, and its subsidiaries including Joulé, ALTA IT Services, CM Access, TPGS, and MOUNTAIN, LTD., are leaders in delivering workforce solutions and integrated services across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible full-time employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.