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city

state

<h3>Job Description</h3>
Job Description
Follow your passion 
Are you looking to make a BIG impact? At Zeta, we pursue an unprecedented combination of high academic achievement and social-emotional development for our students. We insist that every student receives a world-class education while fostering a love for learning. We are passionate about changing the landscape of public education in New York City and beyond, and we are uncompromising in our mission.
Currently, we operate multiple elementary and middle schools in the Bronx and Upper Manhattan, and are opening three new elementary schools in Queens for the 2025-26 school year. We plan to grow and open 1-2 schools each year because children in every community deserve excellent, equitable education. Join our growing team today, and be a change agent for children.
Our Network office is located at 401 W. 218th St., New York, NY 10034. Our Network team follows a hybrid work schedule: we work in-person from our office on Tuesdays and Thursdays with optional remote days on Mondays, Wednesdays, and Fridays, if your team's scope of work permits.
Deliver powerful results 
To achieve our vision, we are searching for a Manager of Data Architecture and Systems with a Bachelor's Degree, and at least 1-3 years of experience in coding with SQL, working in Microsoft Azure, and managing a data warehouse. Our ideal candidate is fueled by a passion for scalable systems, customer service, end-to-end systems management, and a high attention to detail.
Responsibilities:
Data Architecture and Design
<ul>
<li>Implement, and maintain a scalable, high-performance data warehouse currently hosted on Microsoft Azure Data Warehouse</li>
<li>Develop and maintain data models, ensuring alignment with Zeta's mission and organizational goals, and industry standards</li>
</ul>
Data Integration and Governance
<ul>
<li>Build and manage efficient pipelines to integrate data from varioussystems, including Zeta's student information systems (SIS) Schoolrunner and SchoolMint, learning application platforms, and operational tools</li>
<li>Define and enforce data governance policies to maintain data integrity, consistency, and compliance with regulations like FERPA</li>
</ul>
Scalability and Performance Optimization
<ul>
<li>Ensure Zeta's Azure-based data infrastructure supports the growth of schools and is optimized for performance and cost efficiency</li>
<li>Regularly review and refine database performance to meet analytics and operational requirements</li>
</ul>
Compliance and Security
<ul>
<li>Implement robust data security measures and protocols within the Azure environment to protect sensitive student and organizational data</li>
<li>Ensure compliance with relevant regulations, including FERPA and other data privacy standards</li>
</ul>
Support and Troubleshooting
<ul>
<li>Troubleshoot data-related issues and provide timely solutions to support Zeta's operational and educational priorities</li>
<li>Serve as a technical lead for data migration, transformation, and reporting projects</li>
<li>Wear multiple hats as a part of a lean start-up team, supporting the work of others on the team and taking on new projects and tasks as needed</li>
</ul>
Join our purpose-driven community 
Zeta teammates are lifelong learners who live with child-like joy and a deep sense of purpose. We disrupt the status quo and tackle problems together. Our team stands united by our commitment to a limitless future for every child. Our Zeta team is comprised of top talent with incredible schooling and private sector experience. At Zeta:
<ul>
<li>We are passionate about our mission of providing world-class education to all students</li>
<li>We bring a mindset of growth, flexibility, and openness to feedback</li>
<li>We are hungry and determined to not only meet our goals, but surpass them</li>
<li>We are humble, willing to put the team's needs ahead of our own, and committed to contributing to a collaborative work environment</li>
<li>We have a high bar for excellence and sweat over the details</li>
<li>We are caring and put team over individual at all times</li>
</ul>
We are hiring for immediate openings and onboarding on a rolling basis. The salary range for this position is between $90,000 and $110,000. New hires can expect to be brought into the organization at a salary at or near the start of the range, depending on relevant experience and internal equity. Compensation is based on our salary scales This position is eligible to receive an annual discretionary, merit-based performance bonus.
How does Zeta invest in you?
We offer great benefits:
<ul>
<li>Comprehensive and affordable medical, dental, and vision plans</li>
<li>Flexible spending accounts for eligible medical purchases and commuter expenses</li>
<li>403(b) retirement plan; Zeta offers matching contributions toward your savings </li>
<li>Competitive compensation</li>
</ul>
We provide awesome perks: 
<ul>
<li>Monthly stipend for wellness and lifestyle expenses (gym memberships, salon appointments, concerts – it's up to you!)</li>
<li>4 live therapy sessions per month through Talkspace and free Headspace subscription</li>
<li>MacBook Air and specified monthly reimbursement for use of a mobile phone</li>
<li>Fully stocked teacher workrooms with favorite snacks and Nespresso machine</li>
<li>Zeta swag, team outings, and NYC's finest sweet treats</li>
<li>Books for professional development</li>
</ul>
We care deeply about your personal and professional growth:
<ul>
<li>Clear pathway to professional growth</li>
<li>Consistent feedback and support from managers and teammates </li>
<li>Community Circle practice to build and strengthen our sense of team</li>
<li>Interactive Mindfulness and DEIJ programming</li>
</ul>
Apply Now!
Equity is at the heart of our mission. We have a deep commitment to pursuing diversity and striving for equity. Zeta is an equal opportunity employer. Candidates of all backgrounds are encouraged to apply. Work authorization is required (candidate must have permanent authorization to work in the U.S.).

Manager of Data Architecture and Systems

<h3>Job Description</h3>
Job DescriptionRadical AI, Inc.&nbsp;is an artificial intelligence company that is accelerating scientific research &amp; development. We are at the forefront of innovation in the field of materials R&amp;D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&amp;D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&amp;D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityData is core to Radical AI's mission and as a Data Engineer, you'll collaborate with cross-functional teams (software, ML, materials science) to build robust data solutions. You will be directly involved in designing, building and maintaining infrastructure to support agentic workflows for our AI materials design engine, as well as maturing our existing data infrastructure that relates to our autonomous lab. In this you'll create a best-in-class system to accelerate Radical AI's ability to develop the next evolution of scientific progress and get to work at the intersection of cutting edge models, autonomous experimentation, and materials science. As a foundational member of the team, you'll have the opportunity to shape the standards, culture, and values of the data engineering team.Mission
<ul>
<li>Work side by side with AI researchers and engineers, shaping the next generation of autonomous systems for materials discovery.</li>
<li>Own the end-to-end planning, execution, and delivery of largescale data initiatives. </li>
<li>Drive a continuous improvement culture through retrospectives, process streamlining, and lean execution experiments.</li>
<li>Help define the roadmap for agentic AI automation, enabling intelligent workflows, process automation, and AI-driven decision-making within scientific discovery.</li>
<li>Design and implement data pipelines connecting our autonomous lab with operational and product systems, including our AI-driven discovery engine.</li>
<li>Build and support scalable, audit-proof architecture.</li>
<li>Define and enforce best practices for data modeling, lineage, observability, and reconciliation across finance data domains.</li>
<li>Ensure data systems are AI-ready and capable of supporting predictive analytics, autonomous agent workflows, and large-scale automation.</li>
</ul>
About you
<ul>
<li>B.S. or M.S. in Computer Science, Information Security, Engineering, or a related field, or equivalent practical experience.</li>
<li>6+ years in data engineering, with proven experience building and managing enterprise-scale, auditable ETL pipelines and complex datasets.</li>
<li>Strong background in computer science: algorithms, data structures, system design and data modeling.</li>
<li>Strong Python and/or Go skills and and experience deploying production-grade code (not just notebooks).</li>
<li>Experience with relational SQL/NoSQL databases and data lakehouse/warehouse frameworks (e.g., BigQuery, Snowflake, Redshift, Databricks).</li>
<li>Experience with data pipeline frameworks (e.g., Beam, Spark, Kafka, Pulsar, etc.), modern data orchestration frameworks (e.g., Dagster, Prefect), and cloud-native storage (e.g., S3, ADLS).</li>
<li>Experience with large scale distributed system design, operation and optimization.</li>
<li>Experience with lightweight, embedded analytical databases (e.g., Duckdb, SQLite).</li>
<li>Proficient at scaling up and managing high-volume document ingestion pipelines.</li>
<li>An experimental mindset: comfortable testing hypotheses, learning from failures, and iterating quickly; doesn’t shy away from problems with no right answer.</li>
<li>Proven ability to scope ambiguous problems, develop end-to-end solutions, and communicate outcomes effectively.</li>
</ul>
Pluses
<ul>
<li>Experience with vector databases (e.g. Pinecone, pgvector, Qdrant, TurboPuffer, etc.).</li>
<li>Knowledge of or experience with aagentic processes and/or frameworks (e.g., LangChain, CrewAI, PydanticAI, AutoGen, etc.).</li>
<li>Demonstrated experience with LLMOps (e.g., Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning, etc.)</li>
<li>Experience with full-stack prototyping.</li>
</ul>
Salary Description Competitive salary + Equity + Benefits; base pay offered may vary depending on job-related knowledge, skills, and experience. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Data Engineer

<h3>Job Description</h3>
Job Description
We are seeking a skilled Python Developer. In this role, you will design, develop, and maintain high-quality software applications using Python and related technologies. You will collaborate closely with cross-functional teams to deliver robust solutions that meet business needs.
Requirements
<ul>
<li>Bachelor's degree in Computer Science or a related field.</li>
<li>Minimum of 5+ years of experience in Python development.</li>
<li>Proficiency in Python frameworks such as Flask or Django.</li>
<li>Experience with front-end technologies such as HTML, CSS, and JavaScript.</li>
<li>Familiarity with database management systems, particularly SQL.</li>
<li>Strong understanding of RESTful API design and development.</li>
<li>Ability to write clean, maintainable code and follow best practices.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication skills and ability to work effectively in a team environment.</li>
</ul>
Benefits
About Us
We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at <a href="mailto:Careers.usa@zoneitsolutions.com" target="_blank">Careers.usa@zoneitsolutions.com</a>.
Also follow our LinkedIn page for new job opportunities and more.
Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

Python Developer

<h3>Job Description</h3>
Job Description
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!
What You'll Do: 
<ul>
<li>Collaborate with cross-functional teams to design and deploy ML models. </li>
<li>Develop reusable, scalable code for AI/ML applications. </li>
<li>Leverage GCP services to build end-to-end machine learning pipelines. </li>
<li>Optimize models for performance and scalability using Vertex AI.</li>
</ul>
Requirements
Key Requirements: 
<ul>
<li>Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools. </li>
<li>Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI. </li>
<li>Model Development &amp; Deployment: Proven ability to design, build, and productionize machine learning models. </li>
<li>API Development: Skilled in developing robust APIs for seamless integrations. </li>
<li>Python Programming with CI/CD: Experience in Python-based applications and implementing CI/CD pipelines. </li>
</ul>
Why Join Us? 
<ul>
<li>Work remotely while contributing to cutting-edge projects. </li>
<li>Collaborate with a dynamic team passionate about AI/ML innovation. </li>
<li>Opportunity to work with the latest Google Cloud technologies. </li>
</ul>
Ready to take the next step? Apply now and be part of a team that’s shaping the future of AI!
Benefits
Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Machine Learning Engineer

<h3>Job Description</h3>
Job Description
Signers National is a leading insurance platform that provides a range of brokerage and underwriting services to organizations of all sizes. Starting in 2008 as a small retail broker focused on nonprofit &amp; human service organizations, Signers has since expanded its portfolio to include commercial real estate and transportation. Signers is a socially conscious organization boasting an amazing culture of relentless grit and continuous improvement. We go to work every day to positively affect people's lives, and we strive to do the same for our employees.
Role Summary:
The Managing Director, Software &amp; Enterprise Systems is responsible for leading all functions related to software development, enterprise applications, integrations, and data propagation across the organization. This role provides strategic technology leadership, oversees internal and outsourced development teams, manages business-critical insurance brokerage systems (including AMS platforms), and ensures that data, applications, and custom software solutions are scalable, secure, integrated, and aligned with business objectives.
This leader will drive modernization, establish governance, improve software delivery practices, and build a cohesive application and data architecture that supports operational excellence across all business units.
Key Responsibilities:
<ol>
<li> Strategic Leadership &amp; Technology Direction</li>
</ol>
<ul>
<li>Develop and execute a comprehensive software, applications, and data systems strategy aligned with corporate goals.</li>
<li>Establish architectural standards, integration patterns, and best practices across all internal and external systems.</li>
<li>Build a multi-year roadmap for enterprise applications, AMS modernization, data propagation, and custom development.</li>
</ul>
<ol>
<li> Software Development Oversight</li>
</ol>
<ul>
<li>Lead internal software engineering, database development, QA, and project management teams.</li>
<li>Oversee outsourced/nearshore development partners, ensuring alignment with internal standards, architecture, and documentation.</li>
<li>Implement modern SDLC practices, including CI/CD, QA automation, code reviews, architecture governance, and release management.</li>
</ul>
<ol>
<li> Enterprise Applications &amp; AMS Platform Ownership</li>
</ol>
<ul>
<li>Serve as the executive owner for core insurance brokerage systems, including Applied Epic, AMS360, and other agency management systems (IMS, QQ Catalyst, Vertafore platforms, etc.).</li>
<li>Oversee integrations between AMS systems and downstream tools—CRM, policy systems, data warehouses, analytics platforms, and financial systems.</li>
<li>Ensure AMS governance, configuration control, and standardization across divisions and acquired agencies.</li>
</ul>
<ol>
<li> Data Management, Integration, and Propagation</li>
</ol>
<ul>
<li>Own the architecture and operational integrity of data flows between AMS, internal platforms, portals, BI tools, and 3rd-party systems.</li>
<li>Establish data governance frameworks, data lineage, validation processes, and documentation standards.</li>
<li>Partner with analytics teams to ensure data quality, completeness, timeliness, and accessibility.</li>
<li>Develop a unified data structure and integration model to support scalable M&amp;A onboarding and enterprise reporting.</li>
</ul>
<ol>
<li> Project &amp; Portfolio Management</li>
</ol>
<ul>
<li>Lead planning, execution, and delivery of software and applications projects—including AMS transformations, data integrations, platform migrations, and custom solutions.</li>
<li>Ensure projects are delivered on time, within scope, and aligned with business priorities.</li>
<li>Implement PMO standards, intake processes, prioritization models, and KPI reporting.</li>
</ul>
<ol>
<li> Stakeholder Engagement &amp; Business Partnership</li>
</ol>
<ul>
<li>Collaborate with senior leadership across Operations, Finance, Sales, and M&amp;A to understand needs, define requirements, and propose strategic solutions.</li>
<li>Translate business challenges into scalable software and application solutions.</li>
<li>Serve as the bridge between business units, IT, and external partners to ensure alignment and accountability.</li>
</ul>
<ol>
<li> Performance, Support, and Quality Assurance</li>
</ol>
<ul>
<li>Ensure high availability, reliability, and performance of enterprise systems, AMS platforms, and custom software.</li>
<li>Oversee QA processes, regression testing, release cycles, and production readiness.</li>
<li>Establish SLAs and operational dashboards for applications and integrations.</li>
</ul>
<ol>
<li> Vendor, Contract, and Outsourcing Management</li>
</ol>
<ul>
<li>Manage relationships with AMS vendors, software development partners, integration providers, and specialty consultants.</li>
<li>Evaluate vendor performance, negotiate contracts, and enforce accountability.</li>
<li>Ensure external partners follow internal architecture, documentation, and security standards.</li>
</ul>
Qualifications:
Required Experience
<ul>
<li>10+ years of progressive leadership experience in software engineering, enterprise applications, or technology management.</li>
<li>Direct experience within the insurance brokerage or P&amp;C insurance industry — strongly preferred.</li>
<li>Strong knowledge of AMS systems (Applied Epic, AMS360, IMS/Nexsure, or comparable agency management systems).</li>
<li>Proven experience designing and managing data structures, data models, integrations, APIs, and propagation workflows.</li>
<li>Demonstrated ability to lead both internal teams and outsourced development resources.</li>
<li>Successful track record implementing application governance, architectural standards, and scalable software solutions.</li>
</ul>
Technical Competencies
<ul>
<li>Deep understanding of SDLC, software architecture, system integration, and cloud-based platforms.</li>
<li>Familiarity with data pipelines, ETL/ELT, analytics environments, and BI ecosystems.</li>
<li>Experience with workflows, automation, and API-based integrations with AMS and enterprise systems.</li>
<li>Strong grasp of security best practices across applications and data systems.</li>
</ul>
Leadership Competencies
<ul>
<li>Exceptional communication and cross-functional leadership skills.</li>
<li>Ability to operate strategically while maintaining strong execution discipline.</li>
<li>Proven capability to lead change, modernize systems, and build high-performing teams.</li>
<li>Comfortable navigating a complex, multi-business-unit environment with competing priorities.</li>
</ul>
Education &amp; Certifications
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, Engineering, or similar field (required).</li>
<li>Master's degree or MBA preferred.</li>
<li>Relevant certifications (PMP, ITIL, CSM, SAFe, or architectural credentials) strongly preferred.</li>
</ul>
Signers is a proud Equal Opportunity Employer. Signers is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions are based on business needs, job requirements and individual qualifications without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Signers will not tolerate discrimination or harassment based on any of these characteristics. We believe that variety in experience makes us stronger as individuals, as communities, and as a company. Fostering an environment where all employees feel empowered to bring their authentic self to work is our priority

Managing Director of Software & Enterprise System

<h3>Job Description</h3>
Job Description
Does getting in on the ground floor as an initial stakeholder, building out your own team, 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 million 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. 
They are looking for a Senior Data Scientist to come on board and lead this ambitious initiative. If applying data mining techniques, doing statistical analysis, and building high quality prediction systems sounds like fun to you, keep reading. You will do things like , use machine learning techniques, build recommendation systems, and develop internal A/B testing procedures, and automation creation reporting.
 
RESPONSIBILITIES 
· Selecting features, building and optimizing classifiers using machine learning techniques
· Data mining using state-of-the-art methods
· Enhancing data collection procedures to include information that is relevant for building analytic systems
· Processing, cleansing, and verifying the integrity of data used for analysis
· Doing ad-hoc analysis and presenting results in a clear manner
· Creating automated anomaly detection systems and constant tracking of its performance
· Utilize database technologies, including SQL, ETL, EMR, and Redshift to shape data and statistical modeling packages like R and python to build customer models.
· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation.
 · Research and implement novel machine learning and statistical approaches
 
QUALIFICATIONS

· Excellent understanding of machine learning techniques and algorithms
· Experience with common data science toolkits and data visualization tools
· Proficiency in using query languages such as SQL, Hive, Pig etc.
· Good applied statistics skills, such as distributions, statistical testing, regression, etc.
· Good scripting and programming skills such as Python
· Bachelor’s degree in computer science, Engineering, Mathematics, Statistics or related fields, or equivalent practical experience. Masters is preferred
· Relevant working experience in an analytical role involving data extraction, analysis, model building, deployment and communication of insights
· Excellent quantitative modeling, statistical analysis skills and problem-solving skills. Sophisticated user of statistical tools.
 
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

Senior Data Scientist

<h3>Job Description</h3>
Job Description
Project Associate (Marketing) – Temporary Onsite Contract Location: Bronx, NY
We are seeking a Project Associate with a Marketing background for a temporary, onsite contract role located in Bronx, NY. This opportunity is ideal for a highly organized professional who thrives in a fast-paced, collaborative environment.
Position Details
<ul>
<li>Schedule: Full-time, 37.5 hours per week</li>
<li>Hours: Monday–Friday, 8:30 AM – 5:00 PM</li>
<li>Location: Onsite – Bronx, NY</li>
</ul>
Key Responsibilities
<ul>
<li>Assist the Lead Project Associate with daily office management and administrative tasks</li>
<li>Receive and direct incoming phone calls, emails, visitors, and deliveries</li>
<li>Manage office supplies, computer inventory, and branded merchandise</li>
<li>Coordinate inventory for film sets, wardrobe, and related materials</li>
<li>Handle campus deliveries and pick-ups</li>
<li>Submit and follow up on housekeeping, repair, and IT/telecom service requests</li>
</ul>
Qualifications
<ul>
<li>Marketing background or experience in a related project/administrative role</li>
<li>Strong organizational skills and attention to detail</li>
<li>Ability to manage multiple priorities in a fast-paced environment</li>
<li>Excellent communication and interpersonal skills</li>
<li>Comfortable working onsite</li>
</ul>
This role is ideal for a proactive, detail-oriented professional seeking a temporary on-site opportunity in a dynamic marketing environment.

Project Associate

<h3>Job Description</h3>
Job Description
The mission of Speechify is to make sure that reading is never a barrier to learning.
Over 50 million people use Speechify's text-to-speech products to turn whatever they're reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify's text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. 
Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies.
Overview
The responsibilities of our Platform team include building and maintaining all backend services, including, but not limited to, payments, analytics, subscriptions, new products, text to speech, and external APIs.
This is a key role and ideal for someone who thinks strategically, enjoys fast-paced environments, is passionate about making product decisions, and has experience building great user experiences that delight users.
We are a flat organization that allows anyone to become a leader by showing excellent technical skills and delivering results consistently and fast. Work ethic, solid communication skills, and obsession with winning are paramount. 
Our interview process involves several technical interviews and we aim to complete them within 1 week. 
What You'll Do
<ul>
<li>Design, develop, and maintain robust APIs including public TTS API, internal APIs like Payment, Subscription, Auth and Consumption Tracking, ensuring they meet business and scalability requirements</li>
<li>Oversee the full backend API landscape, enhancing and optimizing for performance and maintainability</li>
<li>Collaborate on B2B solutions, focusing on customization and integration needs for enterprise clients</li>
<li>Work closely with cross-functional teams to align backend architecture with overall product strategy and user experience</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Proven experience in backend development: TS/Node (required)</li>
<li>Direct experience with GCP and knowledge of AWS, Azure, or other cloud providers</li>
<li>Efficiency in ideation and implementation, prioritizing tasks based on urgency and impact</li>
<li>Preferred: Experience with Docker and containerized deployments</li>
<li>Preferred: Proficiency in deploying high availability applications on Kubernetes</li>
</ul>
What We Offer 
<ul>
<li>A dynamic environment where your contributions shape the company and its products</li>
<li>A team that values innovation, intuition, and drive</li>
<li>Autonomy, fostering focus and creativity</li>
<li>The opportunity to have a significant impact in a revolutionary industry</li>
<li>Competitive compensation, a welcoming atmosphere, and a commitment to an exceptional asynchronous work culture</li>
<li>The privilege of working on a product that changes lives, particularly for those with learning differences like dyslexia, ADD, and more</li>
<li>An active role at the intersection of artificial intelligence and audio – a rapidly evolving tech domain</li>
</ul>
The United States Based Salary range for this role is: 140,000-200,000 USD/Year + Bonus + Stock depending on experience
Think you're a good fit for this job? 
Tell us more about yourself and why you're interested in the role when you apply. And don't forget to include links to your portfolio and LinkedIn.
Not looking but know someone who would make a great fit? 
Refer them! 
Speechify is committed to a diverse and inclusive workplace. 
Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Software Engineer, Platform - Newark, USA

<h3>Job Description</h3>
Job DescriptionVaro is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo’s comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending.What you'll be doing
<ul>
<li>Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo’s core business verticals.</li>
<li>Model Innovation &amp; Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making.&nbsp;</li>
<li>Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions.</li>
<li>Data Integrity &amp; Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo’s risk framework and regulatory requirements for fairness and transparency.</li>
<li>Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately.</li>
<li>Team Leadership &amp; Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration.</li>
</ul>
You'll bring the following required skills and experiences
<ul>
<li>8+ years of experience in Data Science, Applied Science, or a related quantitative field.&nbsp;</li>
<li>Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement).</li>
<li>Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets.</li>
<li>Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure).</li>
<li>Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture.</li>
</ul>
For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits.We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you’re excited about the opportunity and willing to learn, we’d love to hear from you! About VaroVaro launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We’re a new kind of bank – all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer.&nbsp; As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us:Facebook - <a href="https://www.facebook.com/varomoneyInstagram" target="_blank">https://www.facebook.com/varomoneyInstagram</a> - <a href="http://www.instagram.com/varobankLinkedIn" target="_blank">www.instagram.com/varobankLinkedIn</a> - <a href="https://www.linkedin.com/company/varobank" target="_blank">https://www.linkedin.com/company/varobank</a> Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings!Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo.&nbsp; If you suspect you have received a phony offer, please e-mail <a href="mailto:careers@varomoney.com" target="_blank">careers@varomoney.com</a> with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: <a href="https://www.varomoney.com/privacy-legal/" target="_blank">https://www.varomoney.com/privacy-legal/</a>
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Head of Data Science

<h3>Job Description</h3>
Job Description
We are looking for a talented Data Scientist skilled in Python and SQL. In this role, you will analyze large datasets, develop predictive models, and derive actionable insights that will guide business decisions.
Requirements
<ul>
<li>Proven experience as a Data Scientist or a similar role, with a strong focus on data analysis and modeling.</li>
<li>Proficiency in programming languages, especially Python, and strong SQL skills for database management and querying.</li>
<li>Experience with statistical analysis techniques and data visualization tools (e.g., Tableau, Matplotlib, Seaborn).</li>
<li>Familiarity with machine learning frameworks and libraries (e.g., Scikit-learn, TensorFlow).</li>
<li>Strong analytical skills and the ability to work with large datasets to extract meaningful information.</li>
<li>Experience in data preprocessing, feature engineering, and model evaluation.</li>
<li>Excellent problem-solving abilities and strong communication skills to present findings effectively.</li>
<li>A degree in Computer Science, Mathematics, Statistics, or a related field is preferred.</li>
</ul>
Benefits
About Us
We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at <a href="mailto:Careers@zoneitsolutions.com" target="_blank">Careers@zoneitsolutions.com</a>.
Also follow our LinkedIn page for new job opportunities and more.
Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

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