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Data Science

Services in

New YorkFlag Of New York

SoftDoes delivers data science services in New York that turn raw data into working models, dashboards, and decisions.

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  • 6

    years on the market

  • 73%

    new clients come from referrals

  • 510+

    finished projects

  • 80+

    software engineers

Services we offer

  • 01Data Science Services

    > DATA SCIENCE THAT RUNS IN PRODUCTION <

    SoftDoes delivers end-to-end data science services in New York, from initial idea to stable deployment. We focus on the business metrics that matter: lower risk, higher revenue, and faster decision making for New York state companies.

    • Customer churn prediction for NY banks
    • Claims fraud detection for insurers
    • Demand forecasting for New York retailers
    • Risk scoring for lenders
    • Resource optimization for hospital networks

    > FROM IDEA TO DEPLOYED MODEL <

    Tired of models that never leave the lab in your New York teams? SoftDoes pairs senior data scientists with software engineers to ship models safely. We use machine learning techniques that match your problem, whether that’s classification for fraud detection, regression for forecasting, or optimization for resource allocation.

    • Clear problem and metric definition
    • Use your existing cloud stack
    • Iterative experiments with fast feedback
    • Monitoring, retraining, and alerting setup
  • 02Data Analytics Solutions

    > FAST, CLEAR INSIGHTS <

    Data analytics solutions help New York companies see what’s happening across their business in near real-time. We build systems that solve slow reporting, conflicting numbers, and the absence of a single source of truth that plagues many organizations still relying on manual Excel work. New York state companies use our analytics to see revenue, risk, operations, and customer behavior in one unified view. We design dashboards and self-service analytics for teams that need daily answers without waiting for IT to run a report. By building dashboards that pull from your actual data warehouse, we give your staff the ability to explore data and find meaningful insights on their own schedule.

    • Executive revenue dashboards for NY HQs
    • Branch performance for multi-location chains
    • Cohort and retention views by region
    • Marketing funnel and attribution in New York markets
    • Operations KPIs with drill-downs
  • 03Enterprise Data Management

    > BUILT FOR SCALE AND CONTROL <

    Enterprise data management means getting control of how data flows into, through, and out of your organization. For larger New York companies, this involves ingestion from ERPs, CRMs, EMRs, and trading platforms, along with proper storage, data quality checks, cataloging, and access control. SoftDoes helps New York enterprises reduce data duplication, fix inconsistent fields, and control who can see sensitive information. We architect warehouses and data lakes using modern data stacks like Snowflake, Redshift, BigQuery, and Lakehouse architectures to support both analytics workflows and data science work. This data infrastructure becomes the foundation for everything else you want to do with your data.

    • Centralized data warehouse for NY offices
    • Role-based access with audit logs
    • Data quality checks and alerts
    • Metadata catalog for business users
    • Lineage tracking across pipelines
  • 04Data Strategy and Governance

    > CLEAR PLAN, PRACTICAL RULES <

    Data strategy means deciding what data to collect, who owns it, how it should be used, and how to keep it safe and legal. Governance covers the policies, roles, and processes for privacy, access, data quality, and model risk. For companies in regulated industries, governance frameworks are not optional. We help you define governance that works in practice, rules your teams will actually follow because they make sense, not just paperwork for auditors. Many New York firms have plenty of data but no shared plan or rules for how to use it. We work closely with leadership to create a data strategy that aligns with your business needs and the markets you operate in.

    • Data roadmap aligned to NY markets
    • Ownership defined for critical datasets
    • Simple data access approval flows
    • Model risk and review process
    • Compliance mapping for HIPAA and PCI

> DATA SCIENCE THAT RUNS IN PRODUCTION <

SoftDoes delivers end-to-end data science services in New York, from initial idea to stable deployment. We focus on the business metrics that matter: lower risk, higher revenue, and faster decision making for New York state companies.

  • Customer churn prediction for NY banks
  • Claims fraud detection for insurers
  • Demand forecasting for New York retailers
  • Risk scoring for lenders
  • Resource optimization for hospital networks

> FROM IDEA TO DEPLOYED MODEL <

Tired of models that never leave the lab in your New York teams? SoftDoes pairs senior data scientists with software engineers to ship models safely. We use machine learning techniques that match your problem, whether that’s classification for fraud detection, regression for forecasting, or optimization for resource allocation.

  • Clear problem and metric definition
  • Use your existing cloud stack
  • Iterative experiments with fast feedback
  • Monitoring, retraining, and alerting setup

We Turn Technology Into Results

Partner with a team that blends technical precision, creative design, and business insight. We’ll help you launch, scale, and dominate your digital niche.

Get in touch

PRODUCTS BUILT ACROSS INDUSTRIES

  • Finance

    We develop trading, risk, and reporting systems prioritizing latency, accuracy, and auditability. Our data science services for New York finance include credit risk models, fraud detection, and compliant intraday dashboards.

  • Healthcare

    SoftDoes builds data privacy-focused tools for hospitals and health-tech, offering capacity forecasting, care-pathway analysis, and operational dashboards compliant with HIPAA and PHI.

  • Education

    We develop scalable platforms for universities, schools, and edtech firms. Our education analytics include student progress tracking, engagement analytics, and reporting for New York districts.

  • Construction

    SoftDoes delivers software for New York construction projects, including schedule tracking, cost variance dashboards, and subcontractor performance views for field and office teams.

  • Technology

    We support New York tech companies with integrations, platforms, and product analytics, including event tracking and feature usage models.

  • Startups

    SoftDoes supports New York startups from MVP to stable product with solid data foundations. Our data science services include initial analytics stacks, basic forecasting, and cohort tracking that scale with your growth.

  • Compliance

    We design systems for regulated New York companies emphasizing controls, traceability, and change management. Our governance and compliance analytics support audit preparation and practical compliance.

  • Energy

    SoftDoes helps utilities with load forecasting, asset monitoring, and maintenance planning to ensure New York’s grid reliability.

Transparency at each stage

Discovery & Alignment

Defined goals and a precise roadmap ensure your vision is realized without unexpected pivots or hidden costs.

Technical Strategy

Senior engineers select the optimal tech stack with clear architectural reasoning for long-term scalability.

Iterative Development

Gain real-time access to code and staging environments with regular demos to track every milestone as it happens.

Careful Testing

Receive transparent QA, security, and performance audits to ensure a flawless and stable launch every time.

Deployment & Support

Stay in total control with full documentation and proactive monitoring to keep your systems running at peak performance.

SoftDoes turns your data into software and analytics for decisions

If you’re looking for data science services in New York that actually ship, we’re ready to talk about your next initiative. Contact us to schedule a call this week and plan how to unlock your data’s full potential.

Get in touch

Numbers Don’t Lie

Recent projects showcasing how we design, engineer, and deliver production-ready software solutions.

  • Finance
  • Energy
2026

Deepwater Insights

Deepwater Insights delivers proprietary alternative data and niche research on the offshore drilling and energy sector to institutional investors, family offices, and high-net-worth individuals who require coverage that larger firms don't provide.
Outcome
A brand-aligned editorial platform with premium content architecture gave Deepwater Insights a professional home for its research and a direct channel to investors beyond social media.
  • 100%Brand Continuity
  • 2Platform Distribution
  • 100%Paywall-Ready Content
View Full Case Study
Deepwater Insights case study screenshot
  • Real Estate
2026

The building buyer

The Building Buyer is a Florida-based real estate investment firm co-founded by Dylan Troiano and Charles Hanlin. They acquire single-family, multifamily, and commercial properties across South Florida and beyond, with a focus on motivated seller opportunities.
Outcome
SoftDoes built a proprietary lead generation and data extraction system that replaced hours of manual research each day, freeing the team to focus on deals instead of data.
  • 18Weekly hours saved
  • 2+Years Ongoing partnership
  • 1Fully owned Platform
View Full Case Study
The building buyer case study screenshot
  • Education
  • Non-Profit
2026

WOVEN & NICE

Woven is a Spring Valley, NY nonprofit running the NICE program (New Training Inclusive Community Environment) in four Rockland County schools. Their team supports students through restorative practices, mediation, and professional development for teachers and administrators.
Outcome
A full website rebuild gave Woven a cleaner, more navigable donation experience and a stronger digital presence to support their push into new school districts.
  • 4Schools Served
  • 4Weeks to Launch
  • 1STTime on Upwork
View Full Case Study
WOVEN & NICE case study screenshot
  • Healthcare
2026

CareInTouch

CareInTouch is a Bay Area home health agency providing skilled nursing and therapy services to patients referred from hospitals and clinics. With over 100 staff, they operate in one of the most complex and compliance-driven healthcare markets in the country.
Outcome
SoftDoes built a custom compliance and billing monitoring app that eliminated missed deadlines, reduced revenue loss, and gave ownership real-time oversight of the entire care workflow.
  • 40% Reduction In Billing Errors
  • 100+Staff Operations Managed
  • 0Missed Compliance Deadlines
View Full Case Study
CareInTouch case study screenshot
  • Startup
2026

Sparkle The Cleaning Service

Sparkle The Cleaning Service is a Detroit-area residential cleaning company with 10 years in business, connecting homeowners with vetted, insured independent cleaners through a subscription-based marketplace platform.
Outcome
Launched a two-sided marketplace that removes the middleman from cleaning transactions, letting cleaners earn more while giving customers a transparent, trust-first booking experience.
  • 75% Platform Transparency
  • 2XPlatform Growth
  • 40%Higher User Retention
View Full Case Study
Sparkle The Cleaning Service case study screenshot
  • Startup
2026

DineMate

DineMate is a Maryland-based dating and connecting platform built around verified profiles, restaurant reservations, and prepaid dining experiences. Founded to bring back authenticity to how people meet and connect.
Outcome
A fully custom web app, live on AWS, replaced a stalled mobile build and gave a first-time founder a scalable foundation to pursue users, partnerships, and investor capital.
  • 60% Time Saved
  • 99%System Reliability
  • 40%Higher User Retention
View Full Case Study
DineMate case study screenshot
  • Healthcare
2026

Prior Authorization AI

Prior Authorization AI is a healthcare automation startup building AI-powered tools to streamline prior authorization for Medicare and Medicaid medical transportation providers in New Jersey.
Outcome
Replaced a 16-hour manual document collection process with an automated intake and submission pipeline, freeing the founder to focus on clinical oversight instead of clerical work.
  • 16Weekly hours saved
  • 63%Admin time reduced
  • 43%Fewer submission errors
View Full Case Study
Prior Authorization AI case study screenshot
  • Education
2026

Grand Central Language Services

Grand Central Language Services provides translation and interpretation for organizations operating in complex, multilingual environments. As demand grew, internal workflows became harder to manage. SoftDoes built a custom platform to streamline coordination, improve visibility, and support scalable operations.
Outcome
The new platform brought structure to daily operations, improving project organization, reducing manual coordination, and increasing visibility across workflows. The system now supports more reliable delivery and gives the team a foundation for growth.
  • 72%Workflow Reduction
  • 48%Coordination Reduction
  • 83%Visibility Increase
View Full Case Study
Grand Central Language Services case study screenshot
  • Healthcare
2026

FMY Orthodontics

FMY Orthodontics, a multi-location practice in West Tennessee, partnered with SoftDoes to replace a spreadsheet-based financial workflow with a custom web platform. The goal was to simplify how staff present treatment financing while allowing patients and families to review and complete decisions remotely.
Outcome
The new platform streamlined internal workflows and removed manual spreadsheet work while giving patients a more flexible, modern experience. Staff spend less time coordinating financing, and families can review and finalize plans from home with ease.
  • 60%Workflow Reduction
  • 75%Remote Adoption
  • 5Locations Aligned
View Full Case Study
FMY Orthodontics case study screenshot
2025

FORBIDDEN ALCHEMY

Forbidden Alchemy is a Shopify-based e-commerce store created for a bold, underground fashion brand rooted in metalcore and occult aesthetics. The goal was to deliver a high-impact online experience that reflects the brand’s dark identity while providing smooth, conversion-focused shopping for mobile-first users.
Outcome
We developed a custom Shopify theme, immersive product experiences, and mobile-responsive UX. Every visual element—from typography to interactions—was tailored to strengthen the emotional pull of the brand within alternative subcultures.
  • 68%Faster Checkout
  • 41%Repeat Customers
  • 35%Cart Abandonment
View Full Case Study
FORBIDDEN ALCHEMY case study screenshot
2024

Bokeyno Motorsports

Bokeyno Motorsports is the leading mobile installer of vertical doors for high-performance cars. This Shopify website isn’t just about services—it’s a bold statement of power, style, and expertise. With a sharp layout, strong visuals, and real-world case studies, the site delivers all the information car enthusiasts need to book confidently and instantly.
Outcome
With a mix of dynamic layouts, curated gallery sections, and fast-loading interactions, we kept the user journey focused on action—whether it’s learning about supported models or requesting a quote.
  • 54%Booking Requests
  • 43%Lead Conversion
  • 32%Qualified Inquiries
Bokeyno Motorsports case study screenshot
2025

ai document processing platform

A comprehensive talent solution designed to help companies attract, hire, and retain top talent more effectively. The platform combines AI-powered recruitment technology with employee financial wellbeing programs, enabling smarter hiring decisions while supporting employees’ financial stability and long-term engagement.
Outcome
The new software significantly reduced staff steps for presenting and managing patient financing, replacing a manual workflow with a single streamlined system and improving clarity for both staff and patients.
  • 62%Faster Processing Time
  • 78%Less Manual Work
  • 35%Improved Accuracy
ai document processing platform case study screenshot
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WHAT IT WAS LIKE TO BUILD TOGETHER

Direct feedback from founders and product owners – including many of our partners right here in New York – after shipping, scaling, and maintaining real production systems.

WHAT CHANGED IN PRACTICE

Clients didn’t stay because of promises. They stayed because delivery became predictable, ownership was clear, and the product kept moving forward after launch.

  • You work directly with the engineers building your system. No account managers, no relays, no information loss between decisions and implementation. For data science services in New York, this direct access matters. When you need to discuss tradeoffs in a model or architecture decisions for your data warehouse, the people who know the answer are on the call. Architects, data scientists, and engineers join planning sessions when design choices are made. This speeds up decisions and avoids the telephone game that slows down many agency projects.

  • Work is scoped, sequenced, and delivered in clear increments. No surprises, no rushed rewrites, no stalled releases. For New York data analytics projects, we use two-week sprints with demo sessions at the end of each cycle. Stakeholders see working software regularly, not just slide decks. Written release notes document what shipped and what’s next. We avoid rushed rewrites by making tradeoffs explicit early, if a change affects timeline or scope, we discuss it before committing.

  • The system is designed for long-term use, maintenance, and change. Launch is the starting point, not the finish line. For enterprise data management work, this means logging, observability, tests, and documentation are standard parts of delivery, not afterthoughts. New York companies expect years of uptime and regulatory review. We build systems with that expectation from day one, using practices that make future changes safer and less expensive.

  • Clients don’t manage the team or push work forward. Execution doesn’t depend on reminders. For projects involving data strategy and governance, our teams drive work proactively. You get regular status updates, early risk flags, and clear ownership across every workstream. We keep momentum without constant check-ins from New York client staff. If something is blocked, we surface it and propose solutions rather than waiting for you to notice.

Technologies We Use

DATA ANALYTICS & BI

DATA SCIENCE & ML TOOLS

DATABASES

DATA PLATFORMS & WAREHOUSES

BIG DATA & DATA PROCESSING

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Let’s Build the Future of Your Business

Every great product starts with a conversation.
 At SoftDoes, we don’t just write code — we dive deep into your goals, understand your market, and find the fastest path from idea to impact.

Get in touch

Frequently Asked Questions

How is communication handled in data science services in New York?

A project manager leads updates, scope, and timelines. Engineers and data scientists join calls for planning, tradeoffs, and technical clarity so decisions don’t get lost in translation. For data analytics services in New York, we typically use weekly video calls, a shared Slack or email channel, and a project board (Jira, Linear, or your preference). Decisions and tradeoffs are written down so nothing is lost between meetings. You’ll know who to contact for what, and you won’t need to chase people down for answers.

What types of data science projects are a good fit for SoftDoes?

Long-term products, business-critical systems, and software that needs to be maintained and evolved after launch. These are strong match projects for our team. For enterprise data science solutions, good examples include risk engines, analytics platforms, multi-tenant SaaS products, and internal tools used daily by New York teams. We build things that need to keep working.

Do you build MVPs or only large data science systems?

We build MVPs when they’re designed to grow into full production systems. We don’t build throwaway demos. For New York software and data MVPs, even early versions include basic quality controls, monitoring, and security. The code is structured so it can be extended without rewriting from scratch. If your goal is a one-time demo with no path to production, we’re probably not the right partner. If you’re building something real, we can help you move fast without painting yourself into a corner.

How do you handle scope and changes in data science projects?

Every engagement starts with a clear written scope, timeline, and estimate. Work is defined before it begins. For data science project scope, changes happen, we understand that. When they do, we discuss them openly, estimate the impact, and prioritize together with New York stakeholders managing tight budgets. We don’t silently absorb changes that would risk quality or deadlines. Transparency about scope is how we avoid the ugly surprises that make projects fail.

What happens after launch in data analytics support?

SoftDoes continues to support, maintain, and evolve the system after the first release. Launch is the beginning, not the end. For post-launch data analytics support, we offer retainers for ongoing maintenance, feature roadmaps for new capabilities, and model monitoring for data science work. We treat launch as the start of learning from real usage, analyzing data from production to inform what comes next. Your system keeps improving after it goes live.

Will we own the code and IP from our data science projects?

Yes. You own 100% of the code, repositories, and intellectual property from day one. For custom data platforms, you get full access to repositories, documentation, and everything we produce. New York-based teams can review, audit, and hand off to other vendors if needed. We don’t lock you into proprietary frameworks or hold code hostage. The work is yours.

What makes SoftDoes different from a typical data science agency?

Senior engineers, direct communication, predictable delivery, and long-term ownership, not volume-based outsourcing. We focus on fewer, deeper New York data projects rather than maximizing billable hours across dozens of clients. As your New York data science partner, we bring technical expertise to every engagement and take ownership of outcomes. We’re not trying to extend timelines or avoid hard problems. We want your project to succeed because that’s how we get the next one.

How do you price data science projects?

Engagements are structured around clear scope, outcomes, and team composition. We focus on long-term value, not lowest upfront cost. For data science services pricing, we offer project-based work, ongoing product teams, or hybrid models depending on what fits your New York company’s needs. We share assumptions and constraints upfront so there are no surprises. If a project doesn’t make sense at a given budget, we’ll tell you, rather than committing to something we can’t deliver well.

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Discuss Your Project

This is a no-pressure, 30-minute conversation. We will talk through what you are building, identify risks or unknowns, and outline what it would take to do it right.

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Let's build together.

Talk with a senior engineer about your product idea, architecture, and what it would take to build it.

Upload File