Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Data Scientists build advanced analytical models and use machine learning to extract insights from complex datasets. They support strategic decision-making and predictive analytics initiatives.
Key Responsibilities:
- Develop predictive models and machine learning algorithms.
- Analyze large datasets to uncover trends and insights.
- Collaborate with business units to identify data needs.
- Create visualizations and reports for stakeholders.
- Optimize data collection storage and retrieval processes.
- Ensure model accuracy reproducibility and scalability.
- Conduct A/B testing and experimental analysis.
- Document models assumptions and methodologies.
- Stay updated on emerging tools and algorithms.
- Mentor junior analysts and data engineers.
Qualifications:
- Bachelors or Masters in Data Science Computer Science or related field.
- 3-6 years of experience in data science or analytics.
- Proficiency in Python R SQL and machine learning libraries.
- Strong statistical analytical and problem-solving skills.
Preferred Skills/Duties:
- Experience with cloud data platforms (AWS GCP Azure).
- Knowledge of deep learning NLP and AI frameworks.
- Excellent data storytelling and presentation abilities.
Familiarity with data engineering pipelines.
Hiring: W2 Candidates Only Visa: Open to any visa type with valid work authorization in the USA Summary: Data Scientists build advanced analytical models and use machine learning to extract insights from complex datasets. They support strategic decision-making and predictive analytics initiatives. K...
Hiring: W2 Candidates Only
Visa: Open to any visa type with valid work authorization in the USA
Summary: Data Scientists build advanced analytical models and use machine learning to extract insights from complex datasets. They support strategic decision-making and predictive analytics initiatives.
Key Responsibilities:
- Develop predictive models and machine learning algorithms.
- Analyze large datasets to uncover trends and insights.
- Collaborate with business units to identify data needs.
- Create visualizations and reports for stakeholders.
- Optimize data collection storage and retrieval processes.
- Ensure model accuracy reproducibility and scalability.
- Conduct A/B testing and experimental analysis.
- Document models assumptions and methodologies.
- Stay updated on emerging tools and algorithms.
- Mentor junior analysts and data engineers.
Qualifications:
- Bachelors or Masters in Data Science Computer Science or related field.
- 3-6 years of experience in data science or analytics.
- Proficiency in Python R SQL and machine learning libraries.
- Strong statistical analytical and problem-solving skills.
Preferred Skills/Duties:
- Experience with cloud data platforms (AWS GCP Azure).
- Knowledge of deep learning NLP and AI frameworks.
- Excellent data storytelling and presentation abilities.
Familiarity with data engineering pipelines.
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