VTS3 is hiring: Sr. Data Analyst in New York
VTS3, New York, NY, United States, 10261
Job Description
Duration: 12+ months
Location: Brooklyn, NY (Hybrid – Bi-weekly office attendance)
Interview Process: Video and On-Site
Key Responsibilities
1. Data System Development and Management
- Design and maintain robust data systems and databases, identifying and resolving data-related issues.
- Mine, clean, and reorganize data from primary and secondary sources to make it accessible for analysis by humans and machines.
2. Data Analysis and Visualization
- Use statistical tools to interpret complex data sets, focusing on trends and patterns for predictive and diagnostic analytics.
- Build dashboards, create data visualizations, and perform root cause analysis to ensure seamless functionality.
3. Machine Learning and Advanced Analytics
- Design, train, and implement machine learning algorithms, including large language models and natural language processing (NLP).
- Develop and maintain machine learning pipelines, leveraging MLOps for efficient deployment and scaling.
- Perform A/B testing and apply predictive models to optimize customer experiences and operational efficiency.
4. Stakeholder Collaboration
- Work closely with business stakeholders to understand requirements and translate them into actionable technical solutions.
- Communicate insights, trends, and findings effectively to both technical and non-technical stakeholders.
5. Cloud and Infrastructure Management
- Build and manage cloud-based infrastructure to support data management systems and machine learning pipelines.
This is an hourly position with opportunity for overtime.
**All Candidates Must be Authorized to Legally Work in the US Without Sponsorship**
Mandatory Qualifications: (Please read carefully. They MUST be shown on your resume)
Technical Expertise
- Bachelor’s degree in data science, analytics, computer science, or a related field.
- Proficiency in programming languages: SQL, Python, and PySpark.
- Strong experience with data visualization tools like Power BI, including DAX queries.
- Expertise in machine learning operations (MLOps), natural language processing (NLP), and large language models.
- Advanced knowledge of statistical modeling, data mining, and predictive analytics.
- Working knowledge of designing, training, and implementing machine learning models.
- Familiarity with cloud-based infrastructure and big data analytics tools.
- Minimum of 7 years of experience in data science and machine learning engineering.
- Advanced SQL proficiency.
- Full-stack Python programming, including PySpark.
- Power BI dashboards and advanced visualization techniques.
- Machine learning concepts and MLOps.
Soft Skills
- Strong analytical and problem-solving skills.
- Excellent communication skills to translate technical insights into actionable business strategies.
- Collaborative mindset with the ability to work across teams and manage multiple priorities.
- Master’s degree or Ph.D. in a quantitative field (e.g., statistics, computer science, mathematics, or engineering).
- Azure Databricks Data Engineer Certification.
- Experience with big data technologies like Spark and Hadoop.
Nice-to-Have:
- Databricks Data Engineer Certificate.
- Experience with Spark and Hadoop for big data analytics.
- Innovative Work: Be at the forefront of predictive analytics, machine learning, and natural language processing.
- Collaborative Environment: Partner with business stakeholders to deliver actionable insights and cutting-edge solutions.
- Career Growth: Hone your skills in advanced data analytics while contributing to transformative projects in a supportive team environment.
$500 Referral Fee Program
Earn extra cash while helping your friends!
VTS3 will pay you up to $500.00 for each person you refer to us and we place into a contract or full-time position. If you know someone who's a good candidate for any of our openings, use the "Refer a friend" button on this page and earn extra cash.
The rules are simple:
- The referral must be made by using the "Refer a friend" button on this page
- The person you refer must be placed within 90 days of being referred
- The person you refer must complete 480 billable hours
- Cannot be someone we already have on our team or are currently working with
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