Job Description
Job Description
Are you a skilled data analyst with a passion for machine learning and advanced analytics? Join our team as a Senior Data Analyst and take the lead in designing, analyzing, and optimizing data systems that power diagnostic and predictive insights. This role offers the opportunity to work on innovative machine learning projects, leveraging advanced tools and methodologies to drive impactful business outcomes.
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 SponsorshipMandatory 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.Preferred Skills
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.Why Join Us?
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 pageThe person you refer must be placed within 90 days of being referredThe person you refer must complete 480 billable hoursCannot be someone we already have on our team or are currently working withPowered by JazzHR
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Salary : $500
