Penta Group is hiring for a Data Scientist in US

Position: Data Scientist

Company: Penta Group

Location: United States

Job type: Full-time

Job mode: Remote / Hybrid

Job requisition id: [not provided]

Years of experience: 1-2 years

Company Description

Penta is a global company offering data-driven solutions to aid clients in navigating complex stakeholder environments.
We deliver cutting-edge intelligence products enabling clients to understand stakeholder perspectives and execute effective strategies.
Our 350+ member team comprises professionals from diverse backgrounds including business, government, communications, research, data science, and media.
Penta serves clients across various industries including technology, financial services, energy, and healthcare.
Offices located in New York, London, Washington, DC, San Francisco, Vail, Dublin, London, Brussels, Singapore, and Hong Kong.

Profile Overview

Penta's product team collaborates across US and UK offices to develop and maintain data, platform, and analytical tools.
Emphasis on a strong learning culture fostering personal and professional growth.
Five core areas of responsibility within the product team:
- Support
- Training
- Data management
- Product design
- Product marketing

Qualifications

1-2 years of experience in data analysis tools.

Bachelor’s Degree in Computer Science, Statistics, Data Science, or related field.
Proficiency in Python, with experience in libraries like pandas, NumPy, scikit-learn, and TensorFlow.
Familiarity with natural language processing (NLP) techniques and tools.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Capacity to work independently and in a team.
Passion for data and its problem-solving potential.

Any Additional Info

Competitive salary and compensation structure.
Comprehensive health care benefits with premium coverage.
Competitive retirement benefits with 401(k) matching.
Twelve weeks paid parental leave.
Monthly stipend for cell phone.
Generous paid time off and holiday schedule.
Firm-wide social events and activities.
Supportive environment for learning and development.

Responsibilities

Respond to support requests for data engineering issues and analysis tool management.
Contribute to, and occasionally lead, the creation and management of new tools for data analysis and automation.
Collaborate with analysts on developing new data analysis approaches, visualizations, and products.
Monitor and maintain the quality of content entering the system.
Conduct ad-hoc data analysis to address specific client needs and generate actionable insights.
Stay updated on advancements in machine learning and natural language processing (NLP) techniques.
Collaborate with cross-functional teams including engineers, analysts, and product managers.
Effectively communicate technical findings and recommendations to diverse audiences.
Document and maintain code and models for reproducibility and understanding.

Benefits

Competitive salary and compensation structure.
Excellent health care benefits with premium coverage.
Competitive retirement benefits with 401(k) matching.
Twelve weeks paid parental leave.
Monthly stipend for cell phone.
Generous paid time off and holiday schedule.
Frequent firm-wide social events and activities.
Supportive environment for learning and growth.

Location

US-based personnel; remote or hybrid position.
Preference for applicants in Washington, DC, and New York City metro areas who can work in-office three days per week.

Please click here to apply.

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