1

Director Data Analyst Machine Learning Jobs in Edison, NJ

About the Role : The Director, Data Sciences raises data-driven decision making of a function ... Oversee advanced data analysis, modeling, and machine learning to develop predictive and ...

This person will implement and develop machine learning models to enhance our platform ... Data Analysis: Analyze large datasets to identify trends and patterns, and use this information to ...

The Director, Data Science will help shape and execute data science initiatives that drive ... machine learning, or advanced analytics roles. * 3+ years of experience leading data science or ...

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

The Director, Data Science will help shape and execute data science initiatives that drive ... machine learning, or advanced analytics roles. * 3+ years of experience leading data science or ...

next page

Showing results 1-20

Director Data Analyst Machine Learning information

See Edison, NJ salary details

$35.2K

$85.6K

$140.8K

How much do director data analyst machine learning jobs pay per year?

As of May 30, 2026, the average yearly pay for director data analyst machine learning in Edison, NJ is $85,553.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,700.00 and $100,400.00 per year, depending on experience, location, and employer.

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

What are popular job titles related to Director Data Analyst Machine Learning jobs in Edison, NJ? For Director Data Analyst Machine Learning jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Director Data Analyst Machine Learning jobs in Edison, NJ look for? The top searched job categories for Director Data Analyst Machine Learning jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Director Data Analyst Machine Learning jobs? Cities near Edison, NJ with the most Director Data Analyst Machine Learning job openings:

Data Analyst - Machine Learning

Equation Staffing

Manhattan, NY

Full-time

Posted 26 days ago


Job description

Does getting in on the ground floor as an initial stakeholder, and building a solution that has never been built before, get you excited? Do you want to be the person, when people are talking about some awesome innovation in awe, to be able to proudly say you were instrumental in building it? If so then this could be an exciting opportunity for you.

My client partners with companies ranging from fortune 500 to start-ups across all industries to solve their most complicated problems. The main one, most are wrestling with is how to use data and research for their decisions. With this hole in the market in mind, they have recently brought over one of the brightest minds from the AI/Machine learning world to build a product that doesn’t exist at this moment. It is tremendously ambitious goal, and they need a special team to do it. They are constructing its own floor, in their current space, and it is just at the start of this exciting journey. They are building a tool that can automate and replace the hundreds of thousands, to millions of dollars, that companies are spending in data science. This tool will greatly cut down on in some cases eliminate the need for companies to pour over data researching to find trends, it will do it for them, basically personalization for B2B.

The need role is for a data-savvy individual to join the Data Science team as the first Data Analyst, on the team. This person will create consumer-focused research content and support user-centric product development and growth based on real-time feed of data sets and data points. Our ideal candidate is a sharp, thoughtful problem solver, who enjoys identifying key business levers and challenges, and then building analytical frameworks with under to impact strategic decision making.

Will use big data and machine learning to help clients make decisions in a completely unprecedented way. The responsibility of the Data Analyst will be to decipher the data to find the insights and patterns that matter the most.


KEY RESPONSIBILITIES

· Interpret data, analyze results using statistical techniques and provide ongoing reports

· Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality

· Acquire data from primary or secondary data sources and maintain databases/data systems by working with the data procurement team

· Identify, analyze, and interpret trends or patterns in complex data sets

· Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems

· Write SQL/Hive/Spark queries to extract necessary data and present the information in a data visualization platform such as Tableau. Datorama, DOMO or similar to generate business insights.

· Proactively perform data exploration on user behavior to discover future testing opportunities.

· Work collaboratively with a cross-functional team (Product, Marketing & Engineering) to solve complex business/product/marketing problems.

· Create and manage business/operational dashboards to monitor business line performance.


QUALIFICATIONS

· Proven working experience as a data analyst or business data analyst

· Technical expertise regarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)

· Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)

· BS in Mathematics, Economics, Computer Science, Information Management or Statistics

· Bachelor’s degree in a quantitative field

· You have extensive experience using SQL and Tableau, Looker or similar is a Plus.

· You understand experimentation, hypothesis testing, and causal inference

· Experience in Deep Learning and Machine Learning algorithms is a plus


It is a truly unique work environment, where they are allowing the right candidate to be part of the creative, as well as the execution of the idea. The company empowers their employees, by choosing the right people, letting them use their unique skills, and giving them every resource, and power to make decisions. Truly a great opportunity to get in at ground floor and make a huge impact on tremendous team!


Salary based on experience