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DATA SCIENTIST

Schillinger Finsterwald Llp
New YorkRemoteEntry level1+ yrs
Apply on Schillinger Finsterwald Llp’s site

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Associate Data Scientist
Remote · found 1 d ago

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The job in short

Data science.

PythonSQLSparkHadoopDatabricksAWSAzureGCPMachine learningDeep learningNLPPyTorch

Details

Found
25 d ago · posted 2026-10-04
Location as listed
New York, New York, United States
Role
Data Scientist
Source
The company’s own careers site

Full description

Job Title: Remote Data Scientist Location: Remote (U.S. Only) Job Type: Full-time Job Summary: We are looking for a highly skilled and analytical Data Scientist to join our team. You will be responsible for developing predictive models, analyzing large datasets, and providing data-driven insights to support business decisions. The ideal candidate has experience in machine learning, statistical modeling, and data visualization. This is a fully remote position, but applicants must be based in the U.S. Key Responsibilities: • Develop and implement machine learning models and predictive analytics solutions. • Analyze large and complex datasets to extract meaningful insights. • Design, build, and optimize data pipelines and ETL processes. • Communicate findings through data visualizations, reports, and presentations. • Work with cross-functional teams to identify and solve business challenges using data science. • Ensure data quality, integrity, and security while working with sensitive information. Required Qualifications: • 1+ year of experience as a Data Scientist or in a similar role. • Strong programming skills in Python or R, with experience in pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch. • Proficiency in SQL and working with large databases. • Experience with statistical modeling, hypothesis testing, and A/B testing. • Knowledge of cloud platforms (AWS, GCP, or Azure) for data storage and processing. • Excellent problem-solving skills and the ability to explain complex technical concepts to non-technical stakeholders. Preferred Qualifications: • Experience with big data technologies (Spark, Hadoop, Databricks). • Familiarity with natural language processing (NLP) or deep learning techniques. • Strong background in data engineering and automating data workflows. Benefits: • Competitive salary with performance-based bonuses. • Fully remote with flexible work hours. • Health, dental, and vision insurance. • 401(k) with company matching. • Paid time off, sick leave, and professional development opportunities.

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