Skill Secure AI
Data Scientist Intern
Skill Secure AI, San Francisco, California, United States,
Position Overview: As a Data Scientist Intern, you will assist in analyzing complex data sets to derive actionable insights that support our strategic objectives. This role is perfect for someone passionate about data analysis, machine learning, and applying analytical skills to real-world problems.
Key Responsibilities:
Collaborate with cross-functional teams to define data requirements and project objectives.
Analyze large datasets to identify trends, patterns, and anomalies.
Develop predictive models and algorithms using statistical methods and machine learning techniques.
Create data visualizations and dashboards to communicate findings effectively.
Assist in preparing reports and presentations for stakeholders.
Support the team in data cleaning, preprocessing, and feature engineering.
Qualifications:
Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
Familiarity with programming languages such as Python or R.
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
Basic understanding of machine learning concepts and frameworks (e.g., scikit-learn, TensorFlow).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Passion for data and a desire to learn and grow in the field.
What We Offer:
Hands-on experience in a fast-paced, dynamic environment.
Mentorship and guidance from experienced professionals in the field.
Opportunities for personal and professional development.
A supportive and inclusive workplace culture.
Key Responsibilities:
Collaborate with cross-functional teams to define data requirements and project objectives.
Analyze large datasets to identify trends, patterns, and anomalies.
Develop predictive models and algorithms using statistical methods and machine learning techniques.
Create data visualizations and dashboards to communicate findings effectively.
Assist in preparing reports and presentations for stakeholders.
Support the team in data cleaning, preprocessing, and feature engineering.
Qualifications:
Currently pursuing a degree in Data Science, Computer Science, Statistics, or a related field.
Familiarity with programming languages such as Python or R.
Experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
Basic understanding of machine learning concepts and frameworks (e.g., scikit-learn, TensorFlow).
Strong analytical and problem-solving skills.
Excellent communication and teamwork abilities.
Passion for data and a desire to learn and grow in the field.
What We Offer:
Hands-on experience in a fast-paced, dynamic environment.
Mentorship and guidance from experienced professionals in the field.
Opportunities for personal and professional development.
A supportive and inclusive workplace culture.