Associate data analyst jobs in Jersey City, New Jersey - Page 2Create job alerts

Work under the guidance of senior BAs and Product Managers to understand user needs, business strategy, and technical concepts. Support the elicitation and documentation of requirements from stakeholders; practice translating business needs into technical language for development teams. Assist in ma

Data Governance & Quality: Assist in maintaining data governance standards, including data ownership, quality rules, lineage, and access controls, to help ensure consistency, accuracy, and auditability of portfolio data across platforms. The Data Strategy team within Neuberger Private Markets provid

Join our customer's team as a Data Scientist and play a pivotal role in transforming data into actionable insights that drive business growth. Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis. Develop, validate, and implement statistical models to extra

TensorFlow, PyTorch); Data visualization tools (e. Proven experience integrating clinical informatics systems (VA VistA/CPRS, Cerner Millennium) and validating data migration fidelity. Master's degree in Data Science, Computer Science, Health Informatics, or Statistics.

As a Data Scientist / Data Analyst / Data Science Specialist for Adidev Technologies Inc. Expertise in data wrangling using SQL,. Extract, load and transform data (ETL) from structured and unstructured sources.

Champion data quality, accessibility, and the democratization of data across the organization. We are looking for an experienced Data Scientist to join our growing data team. Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously.

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. Are you a skilled Financial Analyst looking for your next opportunity? Join our dynamic talent pool and gain access to exciting roles with top-tier clients. Be the first to hear about

You're comfortable operating across an end-to-end data pipeline: you can triage pipeline issues, spec data engineering work, and lead a data engineer through complex problems when needed. We're a small team (1 data scientist + a part-time data engineer) at a company with millions of users. You’ll

Data Science experience working with large-scale data and statistical analysis, including. Senior Data Scientist, Fraud Prevention,. Analyze large, complex datasets to identify abuse patterns, fraud signals, and harmful behavior trends.

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate bu

Work closely with Data Engineers to take your models from a local notebook to a production environment, ensuring they run reliably within our data infrastructure. The Solace Data Team is looking for a Data Scientist who excels at forecasting, prediction, and machine learning to help us anticipate pa

In this pivotal role, you will leverage advanced algorithms and machine learning techniques to transform visual data into actionable insights, driving innovation and enhancing our technology offerings. As a Data Scientist in Computer Vision, you will design and implement robust models to analyze and

And 3+ years of industry experience in machine learning and data science. Strong domain knowledge in Women's Health and experience with health data from wearables are significant plusses. We are seeking a highly experienced and driven Senior Machine Learning Data Scientist to join our Women's Health

You will work cross-functionally with the data engineering, product, and data quality teams to ensure our data pipelines are accurate, efficient, and high quality. Work with vast national datasets of medical and pharmacy claims data to interpret, analyze, and build datasets that deliver actionable i

The role will apply statistical programming, modeling, visualization techniques, data mining, and forecasting skills to analyze challenging public sector problems. Pre-processing - Demonstrate the skills and experience to collect, clean, and prepare data sets for input into a computational model usi

As a Data Scientist II at Socure, you will occupy a high-impact, "bridge" role between our core Watchlist R&D and the Data Science Customer Applications (DSCA) teams. Practical experience in data curation, labeling strategies, and building automated data-quality validation checks. Systematically mon

Knowledge of SQL, Python, and/or related software/tools, and familiarity in working with databases, data warehouses, data visualizations and report building. We are seeking a Data Scientist with relevant DFS or Sportsbook experience to help support our risk and trading function. Support risk and lia

A solid understanding of SQL with an ability to efficiently pull and write to our data warehouses. Can explain sophisticated concepts to diverse audiences and craft compelling stories with data. We are looking for a data scientist who will bring a deep understanding of our sportswriting, our in-game

At least three years of industry experience working with Python and large-scale databases using SQL (data query, data cleaning, data transformation). Comfort communicating complex data science topics to audiences of variable technical capability. Effectively partnered with teams to translate client

Develop analytic data sets and use statistical software to analyze data sets as requested. Develop custom data models and algorithms to apply to data sets. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering.

Proficiency with data wrangling and organizing data for different models or analyses; and organized workflows and project management skills. You will collaborate closely with other data scientists and cross-functional partners, deliver insights that inform strategy and execution, and contribute to s

Partner with Data Engineering and Platform teams to define data instrumentation, feature stores (batch and streaming), and model monitoring frameworks (drift, bias, stability). Experience with distributed systems and modern data platforms (e. Snowflake, Databricks, Spark, AWS/GCP/Azure), Version con

We are looking for a talented individual to join the Core Data Science team at LaunchDarkly – a small but mighty team responsible for core methodology within our product line. Raising the bar for data-driven decision making within our products. Finally, you’ll hold the torch for making data acce

The CoreTrust Data Solutions team's charter is to foster a data-driven culture to encourage and enable the entire organization to make more informed decisions through data. Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, o

Within Form3, Business Analysts / Junior Product Owners do not just document requirements; they are central to innovation, trusted with product ownership tasks and surrounded by a high-calibre team of experts. Team Interview with a Senior Business Analyst and Senior Product Manager. This is an excit

The role involves cleaning, organizing, and interpreting large-scale datasets to develop innovative models, datasets, and visualizations that provide actionable insights into the future of work. The Data Scientist will work closely with the Product, Data, and Research teams to analyze labor market t

Partner with data teams, Arcadia’s subject matter experts, and customer teams to seek, understand, validate, interpret, and correctly use data, models, and outputs. We are seeking an innovative and results-oriented Lead Data Scientist with a strong understanding of machine learning, generative A

Use Python to perform exploratory data analysis, feature evaluation, cohort analysis, and experimentation across large ACH and risk datasets. Work with large, imperfect, and regulated datasets to form actionable conclusions despite data gaps, latency, or attribution challenges. This role focuses on

Databricks certifications (Data Scientist, Data Engineer, or related). Use SQL and Python to extract, join, and analyze data from relational databases and data warehouses. You should be strong in core data science and applied machine learning, comfortable working with real-world data, and capable of

Translate complex data into clear, actionable narratives through data storytelling and visualization. Strong oral and written communication skills for data storytelling. This role emphasizes innovation, efficiency, interpretability in modern cloud data environments, and analytics to shorten time to

Applying statistical and machine learning techniques to uncover patterns, trends, and insights within datasets. Visualize, interpret, and report data findings. At least five (5) years of experience performing duties similar to at least two (2) duties found in the Data Scientist description.

Build tools and dashboards to support data-driven decision-making and empower non-technical stakeholders to leverage data insights in day-to-day decisions. We believe in a curiosity-driven data science culture where members have autonomy to deliver impact through analyzing data, building reusable to

Experience with cloud-based data and ML platforms, including at least one of the following: AWS (SageMaker, Redshift, S3), Azure (Azure ML, Synapse, Data Factory), GCP (Vertex AI, BigQuery), Databricks, or Snowflake. Strong proficiency in Python for data science (pandas, NumPy, scikit-learn) and SQL

We’re expanding our data capabilities and seeking a Data Scientist to design and deliver machine learning solutions that drive measurable business impact. Prepare and process data for modeling, including cleaning, transformation, and feature engineering. Participate in discovery sessions to unders

We are seeking a Lead Data Scientist with 8+ years of experience to drive advanced analytics, machine learning initiatives, and data‑driven decision‑making across our fintech/banking product ecosystem. Define the data science roadmap aligned with business, product, and engineering goals. Conduct

Data Exploration and Cleansing: Work with in-house data engineering team to conduct exploratory data analysis to understand data characteristics, identify data quality issues, and address missing or inconsistent data. Collaborative Approach: Collaborate with data engineers, software developers, data

Develop custom data models and algorithms to apply to data sets. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource

Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling. Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening. Evaluate Spotify’s value exchange with music partners and bu

Design and execute real-world evidence analyses, including cohort construction, endpoint definition, risk adjustment, and longitudinal follow-up; integrate/link device data with external sources (EHR, claims, registries, PROs) when available, using reproducible, QA’d analytic datasets and pipeline