Data Science Intern - Paramus
1 day ago
Job description
Company DescriptionAbout Veolia North America
Veolia in North America is the top-ranked environmental company in the United States for three consecutive years, and the country's largest private water operator and technology provider as well as hazardous waste and pollution treatment leader.
It offers a full spectrum of water, waste, and energy management services, including water and wastewater treatment, commercial and hazardous waste collection and disposal, energy consulting and resource recovery.
Veolia helps commercial, industrial, healthcare, higher education and municipality customers throughout North America. Headquartered in Boston, Veolia has more than 10,000 employees working at more than 350 locations across North America.Job Description
Position Purpose:
Student Exploration and Experience Development (SEED) is a 12-week internship opportunity at Veolia for students to gain hands-on experience in sustainability and ecological transformation.
Overall, the SEED program provides students with the skills, knowledge, and connections needed to make a positive impact in the industry.
A Data Science Intern assists with analyzing large data sets to derive actionable insights and supports the development of machine learning models, while gaining hands-on experience in applying data science techniques in a real-world business context.
Analyze and interpret complex datasets to extract meaningful insights, aiding in data-driven decision making.
Develop and implement machine learning models and algorithms to solve specific business problems, enhancing operational efficiency.
Clean, preprocess, and validate data to ensure accuracy, completeness, and uniformity for effective analysis.
Collaborate with cross-functional teams to understand business needs and provide data-driven recommendations and solutions.
Prepare and present reports on findings and model outcomes to both technical and non-technical stakeholders, clearly communicating insights and implications.
QualificationsEducation/Experience/Background:
Achieved or working towards a MS degree in Computer Science or computer related field from an accredited institution.
Knowledge/Skills/Abilities
Skills:
Experience developing with Python.
Experience with SQL development.
Good experience with Git.
Understanding of machine learning algorithms including both supervised (like linear regression, decision trees) and unsupervised learning (like clustering, principal component analysis).
Strong foundation in statistics and mathematics, essential for understanding data distributions, hypothesis testing, and the mathematical underpinnings of machine learning algorithms.
Skills in cleaning, manipulating, and preprocessing data using tools and techniques to handle missing values, outliers, and data transformation.Proficiency in data visualization tools (like Matplotlib, Seaborn, Plotly in Python) to present data findings effectively.
Abilities
Embrace mentorship through design sessions, code reviews, and community building.
Strong analytical and problem-solving skills, with the ability to work with large data sets and derive insights.
Ability to translate real-world problems into analytical questions and devise data-driven solutions.
Capabilities in conducting statistical tests and experiments to derive insights and validate models.
The ability to critically evaluate data sources, models, and outcomes, considering biases and assumptions.
Good verbal and written communication skills, as the role may involve presenting findings and collaborating with team members.
A keen interest in data science and machine learning, with a willingness to continuously learn and stay updated with industry trends and technologies.
Physical RequirementsHybrid mode (3 days a week in the office).
Additional Information
Pay Range:
$20.00 to $25.00 Per Hour.
We are an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Disclaimer:
The salary, other compensation, and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, subject to applicable law.
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