Remote Junior Data Scientist

Description:

• Power Digital is a tech-enabled growth firm that focuses on marketing, consulting, and data intelligence to enhance revenue and brand recognition for various companies globally.
• The firm values diversity and believes that its people and culture are essential to its success.
• The Junior Data Scientist will work within the AI/ML team, focusing on data exploration, predictive modeling, automation, and AI.
• This role involves supporting the data science team and assisting internal and external teams in understanding complex data sets across marketing, e-commerce, and media.
• Responsibilities include performing advanced data analysis using SQL and Python, collaborating with senior data scientists, and automating recurring analyses.
• The position requires maintaining data hygiene and effectively communicating technical findings to non-technical stakeholders.

Requirements:

• Candidates must have 1–2 years of experience working with SQL in production environments and be highly fluent in navigating large relational databases.
• A foundational understanding of machine learning concepts such as regression, classification, and clustering is required.
• Comfort with Python or R for exploratory analysis and prototyping is necessary, with experience in libraries like pandas or scikit-learn being a plus.
• Familiarity with data wrangling, API querying, and joining multiple data sources from various platforms is essential.
• Strong problem-solving skills, intellectual curiosity, and the ability to work independently with ambiguous tasks are required.
• Excellent written and verbal communication skills are necessary, particularly in translating quantitative work into business-relevant narratives.
• A bachelor's degree in a technical or quantitative discipline such as Data Science, Computer Science, Statistics, or Engineering is required.

Benefits:

• Power Digital promotes a people-first culture that values diversity and inclusion within the workplace.
• The company is an Equal Opportunity Employer, ensuring that all employees' points of view contribute to its success.
• Employees are encouraged to grow into hybrid data scientists, combining analytical depth, coding skills, and product thinking to enhance marketing performance.
• The firm emphasizes the importance of collaboration and proactive solutions in its data science function.