Data Analyst w/ ML and AI
4 IRVING PLACE IN NYC
No OPT H1B
PER HIRING MANAGER:
LOCALS ONLY THANKS
1As This is a a hybrid role. Do you know how many days do you want the person to work on site and how many offsite
Currently 3 days a day. In the future it will be 5 days.
2Also please do you have any current people that are incumbent
We have contractor in the team who knows Machine Learning SQL Power BI Python Databricks Data Engineering. We would like someone who these skillsets.
3 Will the interview will be on site or over video only
It is onsite only
Experience with GenAI and large language models.
Experience 7 or more years of experience in data science and machine learning engineering.
JOB DESCRIPTION
Designing and maintaining data systems and databases; this includes fixing coding errors and other datarelated problems. Mining data from primary and secondary sources then reorganizing said data in a format that can be easily read by either human or machine. Using statistical tools to interpret data sets paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
Required Skills/Experience (Skills that the successful candidate(s) must have)
Bachelors degree in data science data analytics or a related field.
Proficiency in programming languages: SQL Python and PySpark.
Minimum 3 years of experience with data visualization tools such as Power BI Dax Queries and best practices.
Must know how to analyze the root cause of dashboard errors.
Have experience in ML Ops and have strong coding background.
Have experience with Natural Language Processing (NLP).
Expertise in data mining and machine learning.
Knowledge or experience with A/B Testing.
Working knowledge of designing training and implementing machine learning models.
Familiarity with cloudbased infrastructure.
Additional Skills (Skills that are a plus but not required)
Masters degree or Ph.D. in a quantitative field such as statistics computer science mathematics or engineering.
Azure Databrick Data Engineer Certification is a plus.
Experience with big data analytics technologies such as Spark and Hadoop.
Responsibilities
Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.
Communicate insights and findings to business stakeholders.
Build deploy and maintain data management systems and backend data infrastructure for our machine learning pipeline.
Build dashboards and analyze the root cause of dashboard malfunctions.
Perform data mining exploration and analysis.
Create data visualizations reports dashboards and data audits.
Design train and implement machine learning algorithms.
Leverage predictive models to optimize customer experiences.
Data Analyst
