senior data developer

TANGENTTECH

We have an immediate opening for a Senior Data Scientist with one of our clients. If your candidate's experience aligns with the requirements below, please reply with your updated resume, contact number, and a convenient time to discuss the opportunity.Role: Senior Data ScientistDuration: 12+ months Location: Remote role EST hoursVisa: GC/USC is preferred but H1B works too.Role Type: Individual Contributor (Business‑Facing)Job OverviewWe are seeking a seasoned Senior Data Scientist for an urgent contract to support critical GTM, Marketing, and Customer Success initiatives. This is not a product engineering role. It is a business‑facing, analytics‑driven position focused on developing, enhancing, and operationalizing lead scoring and propensity‑to‑buy models that directly influence revenue‑generating teams. The ideal candidate combines strong machine‑learning expertise with exceptional business communication skills and can operate independently in a fast‑paced, cross‑functional environmentKey Responsibilities:<ul><li>Partner closely with GTM, Marketing, and Customer Success teams to understand business goals and translate them into actionable data science solutions</li><li>Build, refine, and operationalize lead scoring, propensity‑to‑buy, and other commercial ML models using Salesforce data, third‑party data providers, and enterprise data sources</li><li>Maintain and enhance existing ML models to ensure continuity, stability, and improved performance</li><li>Create clear business and technical artifacts, including</li></ul>&Oslash; Data flows&Oslash; Customer archetypes&Oslash; Model outputs&Oslash; Analytical insights and recommendations<ul><li>Communicate model results and data‑driven insights in simple, non‑technical language tailored for business audiences</li><li>Collaborate with external data vendors to evaluate, integrate, and manage third‑party datasets</li><li>Work independently to quickly understand existing pipelines, ramp up fast, and contribute immediately</li></ul>Required Skills &amp; Experiencs<ul><li>Strong business communication skills &mdash; able to engage independently with GTM, Marketing, Customer Success, data vendors, and cross‑functional teams.</li><li>Nice to have is experience building propensity‑to‑buy, lead scoring, conversion likelihood, or similar commercial ML models.</li><li>Hands‑on experience with Snowflake Cortex ML or similar ML platforms.</li><li>Advanced proficiency in SQL, Python, and Jupyter Notebooks.</li><li>Experience operationalizing models using Salesforce and enterprise data sources.</li><li>Ability to quickly understand existing models and enhance them without disrupting production workflows.</li><li>Demonstrated ability to produce clear business‑facing documentation and technical artifacts</li><li>Comfortable working in a large‑scale, cross‑functional environment with multiple stakeholders.</li></ul>Ideal CandidateA senior, business‑savvy data scientist who thrives at the intersection of analytics, machine learning, and GTM strategy. Someone who can communicate clearly, operate independently, and deliver immediate value by supporting revenue‑driving teams with actionable, data‑driven insightsIf this opportunity interests you, please send your updated resume along with your contact details at Sales@TangentTechs.com with cc To Skills.eHub@gmail.com .Pay: $80.00 - $85.00 per hourWork Location: Remote

Senior Data Scientist

Stott and May

<div>
 
 Senior Data Scientist
 
 
 
 Manufacturing | Azure, Databricks &amp; Microsoft Fabric
 
 
 
 
 
 
 Our manufacturing client is looking for a
 
 Senior Data Scientist
 
 to help build data-driven solutions that improve operations and support business decision-making. You'll work with cross-functional teams to develop predictive models, analyze manufacturing data, and deliver insights using a modern Microsoft technology stack.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Develop machine learning models and analytical solutions to solve business problems.
 </li>
 <li>
 Analyze manufacturing, operational, and supply chain data to identify trends and opportunities.
 </li>
 <li>
 Build predictive models for forecasting, optimization, and operational reporting.
 </li>
 <li>
 Work with business stakeholders to understand requirements and translate them into data science solutions.
 </li>
 <li>
 Collaborate with Data Engineers to prepare and transform data for modeling.
 </li>
 <li>
 Present findings and recommendations to technical and non-technical audiences.
 </li>
 <li>
 Support the deployment and ongoing improvement of machine learning models.
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 <ul>
 <li>
 5+ years of experience as a Data Scientist.
 </li>
 <li>
 Strong Python and SQL skills.
 </li>
 <li>
 Experience building and deploying machine learning models.
 </li>
 <li>
 Hands-on experience with
 
 Azure Databricks
 
 .
 </li>
 <li>
 Experience with
 
 Microsoft Fabric
 
 or other Microsoft analytics tools.
 </li>
 <li>
 Experience working with Azure cloud services.
 </li>
 <li>
 Strong understanding of statistics, predictive modeling, and data analysis.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 </ul>
 
 
 
 
 
 Fully Remote
 
 
 
 
 12-month contract with possible extension
 
 
 
 
 40hr/week
 
 
 
 
 95-125/hourly W2 or LLC
 
 
 
 (There are
 
 no
 
 C2C options for this role)
 
 
 
 
</div>

GRVTY

<div>What Impact You'll Have
We are seeking a Senior Data Scientist to support mission-driven analytic and modernization efforts across the Intelligence Community. This role leverages advanced analytics, automation, data modeling, visualization, and software development to solve complex intelligence and operational challenges. The ideal candidate is an experienced technical leader who can transform large, complex datasets into actionable intelligence, modernize analytic workflows, and develop scalable solutions that directly support enterprise decision-making and mission success.

What You'll Be Doing
As a Senior Data Scientist, you will develop advanced analytic solutions that transform complex intelligence data into meaningful insights for mission stakeholders. You will design and implement scalable data pipelines, automation strategies, and analytic processes that enable analysts to identify patterns, trends, and operational opportunities across large, diverse datasets. Working directly with intelligence professionals, you will apply data science techniques to solve challenging mission problems while improving the efficiency, repeatability, and rigor of analytic workflows.

You will leverage senior-level Python programming skills to build production-ready tools, automate manual processes, and develop reusable analytic capabilities. Your work will include designing compelling visualizations and dashboards that communicate complex findings in a clear, actionable manner, enabling mission partners to integrate data-driven insights into daily operations and strategic planning. As new requirements emerge, you will rapidly prototype and deploy solutions that support evolving customer needs.

Operating in a fast-paced, mission-focused environment, you will independently manage multiple concurrent projects while collaborating with multidisciplinary teams across the Intelligence Community. You will provide technical leadership in the application of modern data science practices, ensuring solutions are scalable, maintainable, and aligned with enterprise modernization initiatives. Through innovation and continuous improvement, you will help advance intelligence capabilities by transforming data into operational advantage.

What You Must Have
<ul><li>Active TS/SCI clearance (ability to obtain a CI Poly preferred).
</li><li>Demonstrated experience supporting intelligence missions through data science, advanced analytics, or intelligence analysis.
</li><li>Ability to operate independently at a senior level with minimal oversight.
</li><li>Senior-level proficiency in Python and experience developing production-quality analytic applications and automation solutions.
</li><li>Demonstrated proficiency designing and implementing scalable processes for large, complex datasets to identify trends, patterns, and analytical discoveries.
</li><li>Experience developing data models, automation workflows, and repeatable analytic processes.
</li><li>Experience creating visualizations, dashboards, and data products that effectively communicate complex analytical findings and support operational decision-making.
</li><li>Experience managing multiple projects and technical initiatives simultaneously in a high-tempo operational environment.
</li><li>Strong understanding of data analysis, statistical methods, and data-driven problem solving.
</li><li>Excellent written and verbal communication skills with the ability to present technical concepts to diverse audiences.
</li><li>Familiarity with common Intelligence Community (IC) data repositories.
</li><li>Demonstrated ability to collaborate effectively with analysts, engineers, and mission stakeholders to deliver innovative solutions.
</li><li>Familiarity with geospatial data science, GEOINT workflows, or multi-INT analysis.
</li></ul>What Would Be Nice to Have
<ul><li>Experience with additional programming languages or low-code/no-code platforms such as JEMA, Brewlytics, or ArcGIS ModelBuilder.
</li><li>Experience developing enterprise-level dashboards and data visualization solutions using modern business intelligence tools.
</li><li>Experience applying machine learning or artificial intelligence techniques to intelligence problems.
</li><li>Experience working with cloud-based data platforms and distributed computing environments.
</li><li>Experience mentoring junior data scientists or leading technical modernization initiatives.
</li><li>Knowledge of DevSecOps principles and modern software development practices.</li></ul></div>

Trideum Corporation

<div>Senior Data Scientist/Data Engineer 
Full-time 
Huntsville, AL
About Us
Trideum Corporation is a 100% employee-owned company, committed to embracing the world&rsquo;s toughest challenges with a servant&rsquo;s heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.
Position Summary
The Senior Data Scientist/Data Engineer will play a pivotal role in establishing the foundation for data-driven decision-making and enterprise-wide data operationalization in support of the United States Army Space and Missile Defense Command (USASMDC). This position focuses on translating complex data into actionable insights that enable senior leadership to make well-grounded decisions regarding technology investments, pilot programs, and portfolio rationalization. The Data Engineer will design, build, and maintain the data ontology tools, dashboards, and data pipelines necessary to measure technical maturity, operational efficiency, and mission alignment across the organization.
As a core contributor to the enterprise operational data and analytics team, you will be responsible for creating real-time decision support system data ontology mapping and interfaces that provide granular visibility into performance, technology, and operational readiness. You will work closely with data scientists, software developers, systems evaluation engineers, mission personnel, and enterprise architects to ensure that all data is traceable from source to recommendation. This role is essential for equipping leadership with the objective scoring criteria, evaluation metrics, and comprehensive reports needed to continuously improve the technology landscape.
What You&rsquo;ll Do
Responsibilities include, but are not limited to:
<ul><li>Develop and maintain executive decision support products, including operational dashboards and artificial intelligence (AI) pipelines.</li>
<li>Build data pipelines and visualizations within enterprise platforms (such as Army Vantage) to provide real-time oversight of key metrics, including application usage, subscription consumption, and application programming interface (API) burn rates.</li>
<li>Design and implement comprehensive command-wide ontology and data dictionary for utilization across applications and analytic frameworks</li>
<li>Ensure strict data traceability from source data and assumptions through analyses to final recommendations.</li>
<li>Support the creation of a robust API flexible structure to integrate data flows and data sets from Programs of Record, Cloud-based Analytic Platforms, and Mission Systems.</li>
<li>Produce recurring monthly portfolio dashboards and comprehensive quarterly or annual reports.</li>
<li>Less than 25% travel may be required.</li>
</ul>
Requirements and Qualifications
<ul><li>Bachelor&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Proven experience building operational dashboards and data visualizations that provide real-time decision support to senior leadership.</li>
<li>Strong expertise in developing data pipelines, including experience integrating data from various sources to track utilization, consumption, and financial metrics.</li>
<li>5+ years of relevant professional experience.</li>
<li>Expertise in languages like Python, R, and SQL; data visualization software like Tableau, Power BI, or Qlik; and data management platforms like ADVANA, Palantir Foundry, Databricks, Snowflake, and Azure Synapse Analytics.</li>
<li>Experience establishing data traceability methodologies to ensure a clear linkage between raw data, analyses, and final recommendations.</li>
<li>Ability to define objective scoring criteria, evaluation metrics, and key performance indicators (KPIs) for technology assessments.</li>
<li>Excellent written and verbal communication skills, with the ability to translate complex data into clear, actionable insights for non-technical stakeholders.</li>
<li>U.S. citizenship and an active Secret security clearance with the ability to obtain/maintain a Top Secret/Sensitive Compartmented Information (TS/SCI) clearance.</li>
</ul>
Desired Qualifications
<ul><li>Master&rsquo;s Degree from an accredited school in a technical discipline (e.g., data science, engineering, mathematics, science, computer science, etc.).</li>
<li>Experience working with Army Vantage or similar enterprise, cloud-based data platforms.</li>
<li>Familiarity with building artificial intelligence (AI) or machine learning pipelines for advanced analytics.</li>
<li>Previous experience supporting a Chief Technology Officer (CTO), Chief Data and AI Officer (CDAO), or similar executive-level function with enterprise-wide technology assessments.</li>
<li>Understanding of software lifecycle management, cloud computing integration, and modern development practices (e.g., DevSecOps).</li>
<li>Experience developing and maintaining infrastructure for data storage, data extraction, monitoring, and observability</li>
</ul>
We Take Care of Our People
Whether you&rsquo;re looking to launch a new career or grow an existing one, Trideum is the type of company where you can balance great work with great life because we believe that taking care of our people is the right thing to do. Trideum offers:
<ul><li>Competitive pay based on the work you do here and not your previous salary.</li>
<li>Traditional benefits such as medical, dental, vision, life, disability, and 401k matching.</li>
<li>Employee Stock Ownership Plan (ESOP).</li>
<li>Paid leave and the ability to cash out leave.</li>
<li>Free access to certified financial planners, wellness and support services, and discount programs.</li>
<li>Education assistance and professional development opportunities.</li>
<li>And much more.</li>
</ul>
Ready to Apply?
Start Your Application now!
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity, or any other characteristic protected by law. People with disabilities who need a reasonable accommodation to apply or compete for employment with Trideum may request such accommodation(s) by contacting Human Resources at 256.704.6123 or HR@trideum.com.</div>

Immersion Consulting, LLC

<div>Description:

The Senior Data Scientist provides advanced analytics, machine learning, and investigative data support. Working closely with criminal investigators, auditors, and technical stakeholders, this position develops and maintains predictive models, fraud detection methodologies, natural language processing (NLP) solutions, and analytical products designed to identify financial fraud, improper payments, and program noncompliance. The Senior Data Scientist transforms complex datasets into actionable intelligence by applying statistical, machine learning, and data visualization techniques.<ul><li>
Design, develop, test, calibrate, and deploy advanced machine learning and predictive analytics models.</li><li>
Develop and maintain supervised and unsupervised fraud detection methodologies using regression, classification, clustering, Bayesian, and ensemble techniques.</li><li>
Conduct data quality assessments to identify anomalies, inconsistencies, and data integrity issues.</li><li>
Analyze large structured, semi-structured, and unstructured datasets to identify fraud indicators and investigative leads.</li><li>
Collaborate with criminal investigators to support financial fraud investigations and audits.</li><li>
Integrate NLP, OCR, semantic similarity algorithms, and large language models into analytical workflows.</li><li>
Develop visualizations, dashboards, executive summaries, and analytical reports for technical and non-technical audiences.</li><li>
Document methodologies, models, testing procedures, and analytical results in accordance with evidentiary and federal requirements.</li><li>
Coordinate with Data Engineering personnel to ensure system architecture efficiently supports analytical and machine learning requirements.</li><li>
Create automated analytical solutions using Python, Power BI, SharePoint, Excel, Power Apps, and related technologies.</li></ul>
Requirements:
<ul><li>Current clearance or ability to obtain a public trust clearance.</li><li>
Master's degree, Ph.D., or equivalent doctorate-level degree in Data Science, Machine Learning, Computer Science, Mathematics, or related field; or 10 years of relevant applied experience.</li><li>
Five or more years of experience developing advanced AI systems and predictive analytics models.</li><li>
Five or more years of experience applying modern analytic methodologies and statistical modeling techniques.</li><li>
Three or more years supporting financial fraud investigations or government oversight activities.</li><li>
Three or more years working with Python and Pandas for advanced data analysis.</li><li>
Three or more years working within cloud platforms such as Microsoft Azure, AWS, or GCP.</li><li>
Two or more years of advanced SQL development experience.</li><li>
Two or more years developing and deploying NLP solutions.</li></ul></div>

FloatMe

<div>FloatMe is hiring a Senior/Staff Data Scientist to turn product, customer, and risk data into the insights and decision frameworks that shape how we grow. You'll own end-to-end execution &mdash; analysis, experimentation, forecasting, visualization &mdash; and partner closely with our ML Engineers to evaluate model performance and connect risk decisions directly to business impact. If you love turning ambiguous, high-stakes questions into sharp, decision-ready answers and want to set the technical bar for a fast-moving fintech team, this is the seat for you.
What You&rsquo;ll Do<ul><li>
You will turn complex product, customer, and risk data into clear insights, decision frameworks, and durable measurement systems for product, risk, and business partners</li><li>
Own end-to-end execution across analysis, metrics definition, experimentation, forecasting, visualization, and decision support</li><li>
Define and maintain measurement frameworks for FloatMe products, including customer eligibility, repayment behavior, product usage, loss performance, funnel health, subscription, and long-term customer outcomes</li><li>
Partner with Machine Learning Engineers (MLEs) to evaluate model and policy performance, monitor cohorts, identify bias or drift, and connect risk decisions to product and business impact</li><li>
Design and analyze experiments, rollouts, and policy changes that shape customer access, repayment outcomes, and product growth</li><li>
Approach ambiguous product and risk questions from first principles, using statistical judgment to define the right cohorts, metrics, and decision criteria</li><li>
Communicate insights clearly to technical, product, and business stakeholders, including risk partners and senior decision-makers</li><li>
Lead technical direction and standards - making and building consensus on key technical decisions, and creating reusable frameworks, measurement templates, and scalable tooling that remove complexity for others</li><li>
Drive localized cross-team impact by partnering with senior stakeholders in product, engineering, and risk to align Data Science work with broader strategy</li></ul>
Who You Are<ul><li>
4+ years applying AI, machine learning, or statistical modeling in decisioning contexts such as credit, risk, fraud, recommendations, or similar domains.</li><li>
A Master degree in a quantitative field (e.g., Mathematics, Statistics, Physics, Computer Science, Operation Research). A PhD degree is welcomed.</li><li>
Advanced proficiency with SQL, Python and experience building clear, decision-oriented data visualizations</li><li>
Strong product, analytical, and statistical judgment, including the ability to turn ambiguous product, customer, or risk questions into sound analyses, communicate tradeoffs clearly, and support decisions</li><li>
Experience using AI tools to improve the speed, quality, and durability of analytical work</li></ul>
Bonus Points
<ul><li>Fintech background</li><li>
Consumer finance experience (non-large bank environment)</li><li>
Advanced modeling techniques</li><li>
Background in small to medium sized companies</li></ul>
FloatMe is proud to be an equal opportunity employer. FloatMe provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws, and prohibits discrimination and harassment of any type.
Compensation Range: $150K - $220K</div>

Senior/Staff Data Scientist

Elliptic

<div>Do you want to help define the future of finance?
Are you a strong software engineer who's passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values-driven company that invests in its people and gives you the autonomy to shape critical systems, while staying close to the code?
We're looking for a Senior Software Engineer to join Elliptic's Product-Engineering organisation, focusing on data engineering solutions that power our blockchain analytics and intelligence products. This is a hands-on engineering role: as a senior member of the team, you will spend the majority of your time designing, building, and shipping the data platform yourself, while driving the technical direction that ensures it continues to meet the growing demands of blockchain analysis.
Challenges include building a blockchain-agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem.<h2 class="jobSectionHeader"> 
The impact you will have</h2>
Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will personally design and build data systems that serve as the backbone of all Elliptic products. By collaborating across blockchain, intelligence and product teams, you will deliver innovative features that help the world fight financial crime and increase transparency in the crypto space. Very few engineering roles have such clearly measurable real-world impact.
You will also help us excel in engineering excellence by mentoring and upskilling our highly-engaged and passionate engineers, by championing best practices, and holding yourself and your team to a high standard.<h2 class="jobSectionHeader"> 
What you will do</h2><ul><li>
Write, ship, and maintain production code as a hands-on engineer.</li><li>
Architect, design, and implement large-scale distributed data systems and pipelines.</li><li>
Contribute to technical decision-making across batch and streaming data solutions.</li><li>
Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer-focused products.</li><li>
Explore and integrate new technologies (e.g. data orchestration or cloud-native tools) to optimise performance and scalability.</li><li>
Take shared ownership of data systems, from design to deployment and ongoing improvement and support.</li><li>
Perform thoughtful peer reviews that raise code quality and share best practices across the team.</li><li>
Contribute to platform-wide initiatives that improve reliability, observability, and cost efficiency.</li><li>
Help shape the technical roadmap for data engineering across Elliptic.</li><li>
Leverage and deploy AI and agentic systems to operate more effectively.</li></ul><h2 class="jobSectionHeader"> 
Tech environment</h2>
Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming<h2 class="jobSectionHeader">
You will thrive here if you</h2><ul><li>
Enjoy end-to-end ownership, from writing the code to architecture design to coaching others through delivery.</li><li>
Strive for engineering excellence and scalable, sustainable systems.</li><li>
Use data and experimentation to guide decisions.</li><li>
Communicate openly and collaborate across teams.</li><li>
Support and coach less-experienced engineers.</li><li>
Believe every challenge is an opportunity to simplify and innovate together.</li><li>
Enjoy working with AI to benefit the company, your team and yourself.</li></ul><h2 class="jobSectionHeader"> 
What we are looking for</h2><ul><li>
Hands-on production experience with Scala and functional programming.</li><li>
Ability to design, build, and maintain distributed data systems in a cloud-based environment.</li><li>
Hands-on experience with big data frameworks such as Spark or Databricks.</li><li>
Knowledge of cloud infrastructure (AWS, GCP, or Azure).</li><li>
Judgement to balance scalability, performance, and maintainability.</li><li>
Experience with data modelling and workflow orchestration.</li></ul><h2 class="jobSectionHeader">
Bonus points for</h2><ul><li>
Experience in stream processing frameworks and event-driven architecture.</li><li>
Hands-on experience with Infrastructure as Code (Terraform, CloudFormation).</li><li>
Experience working in containerised environments (Docker, Kubernetes).</li><li>
Interest in AI-driven tooling for engineering workflows.</li><li>
Interest in crypto and blockchain technologies.</li></ul>
How we work:<ul><li>
Hybrid working: The option to work from almost anywhere for up to 90 days per year.</li><li>
Remote Work Budget: $650 budget to set up your home office space.</li></ul>
Learning &amp; Development:<ul><li>
L&amp;D Budget: $1,000 annual Learning &amp; Development budget to use on anything (agreed with your manager) that contributes to your growth and development.</li></ul>
Vacation / Leave:<ul><li>
Holidays: 25 days of annual leave + US Public Holidays.</li><li>
Birthday Leave: An extra day off for your birthday.</li><li>
Enhanced Parental Leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.</li></ul>
Benefits:<ul><li>
Healthcare: Comprehensive medical, dental, and vision coverage through a range of providers (including Tufts, Kaiser, Aetna, UHC, and Blue Shield of CA) with generous premium contributions for you and your dependents.</li><li>
401k: Company match included.</li><li>
Mental Health: Full access to Spill mental health support.</li></ul> 
 
We know Diversity and Inclusion is much deeper than just hiring, but it&rsquo;s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don&rsquo;t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work. 
 
No recruitment agencies please!
Compensation Range: $165K - $305K</div>

Senior Software Engineer - Data

Search 8822+ Senior data developer jobs near you this August. New roles added regularly across leading industries. Apply today.

8822 senior data developer jobs Near Me

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior/Staff Data Scientist

Senior Software Engineer - Data