Lead Data Scientist

Fairygodboss; Roseland (NJ); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Courageous team collaboration

Continuous learning

Philanthropic opportunities

Job summary

Fairygodboss is hiring a Lead Data Scientist in Roseland, NJ. This role emphasizes data analysis, machine learning, and data visualization, requiring a Bachelor’s degree and 6 years of experience.

The ideal candidate will clean and analyze data, visualize insights with Tableau, and work with remote stakeholders to implement projects centered on consumer analytics and predictive metrics.

The position offers exciting opportunities for continuous learning and problem-solving in a collaborative environment.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field and 6 years of experience required.
• Master’s degree and 4 years of experience also accepted.
• 2+ years with Databricks or AWS Spark and SageMaker, Python and Jupyter Notebooks.

Responsibilities

• Clean and analyze large data sets and perform exploratory analysis.
• Work with stakeholders to implement advanced analytics projects.
• Code with machine learning tools to synthesize data sets.
• Visualize data and insights using Tableau for leadership.

Skills

Data analysis

Machine learning tools (Python, R, Scala)

Data visualization (Tableau)

NLP/NLU models

Containerization (Docker)

Statistical techniques

AWS services

Education

Bachelor’s degree in Computer Science, Data Science, or related field

Master’s degree

Tools

Databricks

AWS Spark

Python

Jupyter Notebooks

Job description

Applications for this role will be accepted on an ongoing basis.

ADP Technology Services, Inc. is hiring a Lead Data Scientist in our Roseland, NJ location.

Responsibilities

• Clean and analyze large data sets and perform exploratory analysis to assess data quality and relevance to project requirements.
• Work with stakeholders to identify, design, develop and implement advanced analytics projects that track the consumer conversion funnel from start to end.
• Provide, interpret, and predict necessary metrics to support decision‑making, creating clear executive‑level communications on milestone achievements.
• Code with machine learning tools such as Python, R, and Scala to synthesize millions of data sets into patterns that answer ad‑hoc requests.
• Visualize data and insights using Tableau, presenting findings and actionable recommendations to peers and leadership.
• Formulate analytical problems, extract and analyze data from multiple systems, and develop compelling visual representations of analyses.
• Continually learn and apply new data‑science techniques to contribute to innovative products and services.

Education and Qualifications / Skills and Competencies

• Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Business Analytics, or related field plus 6 years of related experience required.
• Master’s degree and 4 years of related experience also acceptable.

Work Experience

• 2+ years with Databricks or AWS Spark and SageMaker, Python and Jupyter Notebooks.
• Build and deploy NLU/NLP models and scalable micro‑services (Flask).
• Statistical and data‑mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, neural networks, deep learning, social‑network analysis.
• Machine‑learning techniques: clustering, decision‑tree learning, artificial neural networks.
• Containerization (Docker) and NoSQL databases (AWS Elastic Search, OpenSearch, MongoDB).
• Experience with Amazon services: S3, SQS, SNS, Lambda, RDS, DynamoDB.
• Deep‑learning models: CNN, RNN, LSTM, Transformers, and large‑language models (BERT, MPNet).

Benefits

• Courageous team collaboration and ownership.
• Impact at scale with a focus on client happiness and productivity.
• Continuous learning in a supportive environment.
• Hands‑on problem solving and mastery of craft.
• Philanthropic opportunities and community support.
• Commitment to equality, equity, and inclusion.

Diversity, Equity, Inclusion & Equal Employment Opportunity at ADP: ADP is committed to an inclusive, diverse and equitable workplace, and is further committed to providing equal employment opportunities regardless of any protected characteristic, including race, color, genetic information, creed, national origin, religion, sex, affectionate or sexual orientation, gender identity or expression, lawful alien status, ancestry, age, marital status, protected veteran status or disability. Hiring decisions are based upon ADP’s operating needs and applicant merit, including qualifications, experience, ability, availability, cooperation and job performance.

Ethics at ADP: ADP upholds high ethical standards and compliance with all applicable laws. Employees are expected to act with integrity and foster an honest and respectful workplace.