We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team.
This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used.
You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.
RESPONSIBILITIES:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if youre great at SQL and have experience analyzing website data, youre someone we want to talk to.

Were looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.

The best thing about our work is that were part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

Why were a great company to work for

the leading online destination for engaged investors. We have an awesome product. Our crowdsourced research and cutting-edge investing tools are helping nearly 300,000 paying subscribers exceed their financial goals.
We care about work-life balance: We work primarily from home, provide lots of perks, and insist that you enjoy them.
We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training our teammates.

If that's what you're looking for too- go ahead and apply!

Responsibilities:
Analyzing the behavior of users on our site and apps:
Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.
Answer questions about site usage or user behavior based on deeper analyses.
Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
Design a test with clear success criteria
Monitor test integrity
Analyze results and give recommendations
Use segmentation and clear cohort analysis to validate significant conclusions
Conduct exploratory analysis to identify trends and opportunities

looking for a talented Business Analyst to join the team and work side by side with the rapidly growing sales department.

The ideal candidate is passionate about solving complex business questions and has the capability to read complex datasets and translate them into actionable business insights and recommendations to the relevant stakeholders.

If you are an expert in data & numbers, have a keen eye for detail, an innate ability to recognize patterns, and the drive to influence key business decisions with your findings, then we want you on our team!
Responsibilities:
working closely with our Sales team leadership, providing strategic recommendations based on your data analysis.
Lead deep dive analyses to uncover new opportunities for growth that will influence our business performance
Create and maintain comprehensive and clear dashboards to track key KPIs and highlight actionable insights for operational teams and senior management.
Ensure the integrity and accuracy of our sales data by regularly validating and updating our datasets.
Suggest strategic changes or initiatives that can boost our performance and efficiency.

Were looking for a Senior data Analyst with experience analyzing website data. 
*Hybrid Model
*Direct Employment Position
Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.
But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.
Analyzing the behavior of users on our site and apps:
-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.
-Answer questions about site usage or user behavior based on deeper analyses.
Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
-Design a TEST with clear success criteria
-Monitor TEST integrity
-Analyze results and give recommendations
-Use segmentation and clear cohort analysis to validate significant conclusions
-Conduct exploratory analysis to identify trends and opportunities

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

Were looking for a data obsessed professional eager to extract insights from data to create more value for us and our customers.
This position will include responsibilities for both our data integrity, and generating business and product insights based on data.
What youll be doing:
Financial Integrity: Ongoing responsibility to ensure data integrity across all systems.
Monitors: Develop monitors to ensure ongoing data integrity.
Data Visualization: Build insightful tools, dashboards, and complex reports.
Decision-Support: Be involved in key decision points and assist various teams in making thoughtful, data-driven decisions
Support Machine Learning Initiatives: Collaborate with our data science team to develop ML models and ensure the quality and reliability of data.
Strategy and Product Growth: Partner with product and business professionals to establish data-driven policies and strategies.

Were looking for a talented Growth Data Analyst to join one of our agile revenue teams.
Youll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where we want to scale our Growth efforts. Youll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, youll ask the right business and strategic questions, and find the insights to answer them.
In this role youll:
Be part of the Analytics chapter, spending your day-to-day applying advanced solutions to real business problems
Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently
Collaborate with other data analysts and leverage the many tools we have developed to continuously measure, test, and optimize across all partners and platforms
Own data integrity infrastructure, such as creating and maintaining dashboards.

We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.

We are looking for a talented data analyst to join our growing team.
As a data analyst, you will have the opportunity to make an impact on a fast-growing platform.

What is Spera? Modern organization employees are using hundreds of applications and

services - leading to an "identity jungle" with multiple risks. Spera provides security leaders with comprehensive, end-to-end contextual visibility of their identity landscape, helps to eliminate risk, improves operational efficiency, and facilitates compliance.

Spera is led by an exceptional team with a go-getter attitude and a passion for pushing the boundaries of whats possible. Were always looking for remarkable candidates to join our vision and take an active role in building the future of identity security as part of the biggest identity player in the world, If you are curious, creative, and get things done - come aboard!

What Youll Do:
Take an integral part in Speras data analysis area.
Work closely with the business side and customers and enhance Speras value to new and existing customers.
Help win deals and accelerate the sale process.
Work closely with product and R&D teams.
Solve complex product challenges from the data perspective, define research goals, identify anomalies and blind spots, and suggest possible solutions based on data.

We are seeking a passionate and highly motivated Senior Product Analyst to join our team.
In this role, you will play a vital part in developing and executing our data strategy, setting growth and product KPIs, creating data infrastructure, integrating data into everyday processes, and generating insights and recommendations for product and development squads.
As a key member of our team, you will work closely with product, data, and development teams to deliver top-notch data and analytics to empower key stakeholders. This data-driven approach will fuel efficient product processes and drive the company's success.
The ideal candidate will have a strong understanding of data analysis and interpretation, as well as experience with developing and executing data strategies. You will also be a highly motivated and organized individual with excellent communication and teamwork skills.
If you are passionate about data and analytics and are looking for a challenging and rewarding role, we encourage you to apply.