financial analyst

applied ai/ml - senior associate Jobs in Tampa

applied ai/ml - senior associate

data analytics consultant, healthcare practice Jobs in Tampa

data engineer - ai/ml

data scientist (on site in tampa, fl) Jobs in Tampa

data scientist (on site in tampa, fl)

data engineer

Platinum Technologies

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div><br>
<div></div>
<div></div>
<div><b>You.</b></div>
<div>Platinum Technologies is seeking a Data Engineer to join our company.</div>
<div>We&rsquo;re seeking a highly technical Data Engineer to drive the massive data discovery and classification effort. Before data can be protected, it must be found and understood. You will be responsible for illuminating &quot;dark data&quot; across the Command&rsquo;s complex information environment, ranging from hyperscale cloud data lakes on NIPR to legacy file shares and isolated storage arrays on the SIPR and Top-Secret networks.</div>
<div></div>
<div>As a Data Engineer, you will architect and manage the deployment of advanced discovery platforms, specifically BigID and NetApp BlueXP. You will configure these tools to crawl petabytes of structured (SQL/Oracle), semi-structured (logs/NoSQL), and unstructured (SharePoint/File Shares) data. Your primary mission is to build the &quot;Global Data Inventory&rdquo;, a dynamic, real-time map of where sensitive CUI and classified intelligence resides, enabling the security teams to apply precision protection. You will use your knowledge of data pipelines and storage infrastructure to ensure that scanning operations provide 100% visibility without degrading network performance.</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Deploy and manage BigID and NetApp BlueXP scanners across hybrid environments, including configuring dockerized collectors for air-gapped discovery on the Top-Secret network.</li></ul>
<ul><li>Connect discovery tools to enterprise databases (SQL Server, Oracle, PostgreSQL) to scan schemas and columns for PII, DoD ID numbers, and other sensitive indicators without impacting database performance.</li></ul>
<ul><li>Configure scans for massive file repositories (NetApp NAS, QNAP, SharePoint On-Premises), optimizing scan windows and throttling to prevent latency for mission users.</li></ul>
<ul><li>Utilize Microsoft Purview Data Map and custom connectors to inventory data residing in AWS S3 buckets, Azure Blobs, and Data Lakes.</li></ul>
<ul><li>Collaborate with mission owners to train Machine Learning (ML) classifiers to recognize unique data types (e.g., mission names, operational codes) and reduce false positive rates in the data inventory.</li></ul>
<div></div>
<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI clearance</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Proven experience deploying and managing enterprise data discovery and governance platforms such as BigID, Varonis, NetApp BlueXP (Data Sense), or Informatica.</li></ul>
<ul><li>Strong understanding of storage protocols (NFS, SMB/CIFS, S3) and database structures (SQL, NoSQL) to troubleshoot connectivity and scanning access.</li></ul>
<ul><li>Proficiency with Kubernetes and Docker, as many modern discovery collectors are deployed as containerized microservices.</li></ul>
<ul><li>Experience dealing with large-scale data inventories (Petabyte scale) and understanding of data lineage and provenance concepts.</li></ul>
<ul><li>Journeyman Experience:</li></ul>
<div>A Journeyman labor category has 3 to 10 years of experience and a BA/BS or MA/MS degree. A Journeyman labor category typically performs all functional duties independently.</div>
<ul><li>Senior Experience:</li></ul>
<div>A Senior labor category has over 10 years of experience and a MA/MS degree. A Senior labor category typically works on high-visibility or mission critical aspects of a given program and performs all functional duties independently. A Senior labor category may oversee the efforts of less senior staff and/or be responsible for the efforts of all staff assigned to a specific job.</div>
<div></div>
<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
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.</p></div>

Data Engineer

Fintech

<div>
 <strong>
  This position is Hybrid in Tampa, FL
 </strong>
 .
 <br/>
 <br/>
 We are seeking a Data Engineer with strong AI/ML expertise to modernize and scale our Business Intelligence (BI) capabilities. This role will design and build data pipelines, deploy machine learning solutions, and operationalize intelligent analytics to drive decision-making across the organization. The ideal candidate blends data engineering best practices with applied machine learning, MLOps, and AI.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Project Responsibility: End-to-end data pipelines and integrations
 <br/>
 <br/>
 <strong>
  Technical Competencies
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Advanced SQL optimization and complex query design
  </li>
  <li>
   Kafka streaming applications and connector development
  </li>
  <li>
   Databricks workflow development with medallion architecture
  </li>
  <li>
   Data governance implementation and compliance
  </li>
  <li>
   Performance tuning for large-scale data processing
  </li>
  <li>
   Data security and privacy best practices
  </li>
  <li>
   Apache NiFi pipeline development for invoice and PO processing
  </li>
  <li>
   Integration with purpose-built data stores (Druid, MongoDB, OpenSearch, Postgres)
  </li>
  <li>
   Build and maintain end-to-end ML pipelines for training, deployment, and monitoring of models.
  </li>
  <li>
   Design and optimize data architectures for large-scale ML workloads
  </li>
  <li>
   Explore and implement LLM-based solutions, RAG architectures, and generative AI for business use cases.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Cross-functional collaboration with product and engineering teams
  </li>
  <li>
   Technical mentoring for junior data engineers
  </li>
  <li>
   Analytical thinking for complex data problems
  </li>
  <li>
   Stakeholder communication for data requirements
  </li>
  <li>
   Process improvement and efficiency focus
  </li>
  <li>
   Quality mindset for data accuracy and reliability Vendor Management:
  </li>
  <li>
   Direct communication with data platform vendors
  </li>
  <li>
   Evaluates vendor tools for specific data use cases
  </li>
  <li>
   Provides technical feedback on vendor product roadmaps
  </li>
  <li>
   Coordinates with vendors for data integration projects
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <em>
  Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Data Engineering, Statistics, or related field.
  <br/>
  <br/>
 </em>
 <em>
  5+ years in data engineering; 2+ years applying ML in production.
  <br/>
  <br/>
 </em>
 <strong>
  Our Benefits:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Hybrid Work
  </li>
  <li>
   Employer Matched 401K
  </li>
  <li>
   Company Paid Medical Insurance Option for Employee and Dependent Children
  </li>
  <li>
   Company Paid Dental Insurance for Employee
  </li>
  <li>
   Company Paid Vision Insurance for Employee
  </li>
  <li>
   Company Paid Long and Short-Term Disability
  </li>
  <li>
   Company Paid Life and AD&amp;D Insurance
  </li>
  <li>
   18 Paid Vacation Days a Year
  </li>
  <li>
   Six Paid Holidays
  </li>
  <li>
   Employee Recognition Programs
  </li>
  <li>
   Holiday Bonus
  </li>
  <li>
   Incentive Compensation
  </li>
  <li>
   Community Outreach Opportunities
  </li>
  <li>
   Business Casual Dress Code
   <br/>
   <br/>
  </li>
 </ul>
 <br/>
 <br/>
 <strong>
  About Fintech:
 </strong>
 <strong>
  <br/>
  <br/>
 </strong>
 Fintech, a pioneering accounts payable (AP) automation solutions provider, has dedicated nearly 35 years to automating invoice processing between retail and hospitality businesses, and their supply chain partners. Backed by leading investors TA Associates and General Atlantic, it stands as a leader in this sector. Its flagship product, PaymentSource&reg;, was first built for the alcohol industry to provide invoice payment automation between alcohol distributors and their customers across all 50 states. Today, it is utilized by over 267,000 businesses nationwide for invoice payment and collection associated with all B2B business transactions. This proven platform automates invoice payment, streamlines payment collection, and facilitates comprehensive data capture for over 1.1 million business relationships. Recognizing operational hurdles, Fintech expanded its payment capabilities to include scan-based trading/consignment selling for its vendors and retailers and built an advanced CRM tool with functionality to fortify vendor, supplier, and distributor field execution, addressing diverse profit center challenges. For more information about Fintech and its range of solutions, please visit
 <strong>
  www.fintech.com
 </strong>
 .
 <br/>
 <br/>
 <em>
  Fintech is a Drug-Free Workplace. Fintech is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and pregnancy-related conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, genetic information, or any other characteristic protected by applicable federal, state, or local laws and ordinances. Fintech&rsquo;s management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.
 </em>
 <em>
  We E-Verify.
 </em>
</div>


Data Engineer - AI/ML

Qode

<div>We are seeking a highly skilled <b>Python Data Engineer / Data Scientist with Node.js experience</b> to join our team in Tampa, FL. The ideal candidate will have strong expertise in building scalable data pipelines, developing backend services using Node.js, and delivering data-driven solutions using modern data and cloud technologies.<p>
✅ <b>Required Skills</b></p><ul><li>
3+ years of experience in <b>Data Engineering / Data Science</b></li><li>
Strong programming experience in <b>Python</b></li><li>
Hands-on experience with <b>Node.js</b> for backend/API development</li><li>
Strong experience with <b>SQL</b> and relational databases (PostgreSQL, MySQL, etc.)</li><li>
Experience with data engineering tools (<b>Airflow, Spark, Kafka</b>)</li><li>
Knowledge of cloud platforms (<b>AWS, Azure, or GCP</b>)</li><li>
Experience with data warehousing (<b>Snowflake, Redshift, BigQuery</b>)</li><li>
Experience building and consuming <b>REST APIs / Microservices</b></li><li>
Familiarity with <b>ETL/ELT pipelines</b></li><li>
Strong understanding of <b>data structures and algorithms</b></li><li><b>Preferred Skills</b></li></ul><ul><li>
Experience in <b>Machine Learning / Data Science</b> (scikit-learn, TensorFlow, PyTorch)</li><li>
Experience integrating <b>Node.js services with data pipelines</b></li><li>
Knowledge of <b>data visualization tools</b> (Tableau, Power BI)</li><li>
Experience with big data technologies (<b>Hadoop, Hive</b>)</li><li>
Understanding of <b>CI/CD pipelines and DevOps</b></li><li>
Experience in <b>Agile environments</b></li></ul></div>

Python Data Engineer/Data Scientist

<div><div><b>Who we are!</b></div>
<div>Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products &ndash; we want to hear from you.</div>
<div></div>
<div>We lead with technical expertise, but that is just the tip of the iceberg &ndash; the &lsquo;Why&rsquo; matters. At Platinum, we don&rsquo;t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.</div>
<div></div>
<div>Platinum Technologies is seeking a <b>Senior Data Security Engineer (DRM Specialist)</b> to join our company. As the Senior DRM Specialist, you will be responsible for the configuration and enforcement of advanced encryption policies using Kiteworks (on SIPR and Top-Secret networks) and Microsoft Purview Information Protection (on NIPR). You will move the Command beyond simple file encryption to a granular, identity-aware protection model. You will design the &quot;Data Policy Engineer&quot; rules that act as the Policy Decision Point (PDP), ensuring that a user&rsquo;s ability to decrypt a file is dynamically brokered in real-time based on their &quot;Trust Attributes&quot; (clearance, role, and risk level). You will also manage the complex Key Management lifecycles required to maintain a seamless user experience in a high-security, hybrid environment</div>
<div></div>
<div><b>This role requires an active Top Secret/SCI. The position will be in Tampa, Florida.</b></div>
<div></div>
<div><b>What you get to do.</b></div>
<ul><li>Architect and configure the Kiteworks Private Content Network (SIPR/Top Secret) and Microsoft Purview (NIPR) to serve as the central Policy Decision Points (PDP) for file access.</li></ul>
<ul><li>Translate NIST 8112 metadata attributes into concrete DRM policies (e.g., &quot;Allow View ONLY if User.Clearance &gt;= TopSecret AND Device.State = Compliant&quot;).</li></ul>
<ul><li>Manage the lifecycle of encryption keys (Bring Your Own Key - BYOK, Customer Managed Keys) ensuring FIPS 140-2/3 compliance and availability across hybrid and air-gapped environments.</li></ul>
<ul><li>Configure advanced DRM features such as SafeVIEW and SafeEDIT in Kiteworks to allow users to view and edit sensitive documents in a secure, containerized stream without the data ever leaving the controlled repository.</li></ul>
<ul><li>Define and enforce &quot;Rights Management&quot; controls, specifically preventing actions like Copy/Paste, Screen Capture, and Printing for documents tagged with specific sensitivity labels (e.g., CUI, Secret/NoForn).</li></ul>
<div></div>
<div><b>Requirements.</b></div>
<ul><li>Active Top-Secret/SCI Clearance</li></ul>
<ul><li>Master of Science (MS) degree in Cybersecurity, Computer Science, Mathematics (Cryptography focus), or a related technical field.</li></ul>
<ul><li>10+ years of technical related experience.</li></ul>
<ul><li>CompTIA Security+ CE (or higher) to meet DoD 8570 IAT Level II requirements.</li></ul>
<ul><li>Extensive hands-on experience (5+ years) designing and administering Enterprise Digital Rights Management (EDRM) or Information Rights Management (IRM) systems, specifically Kiteworks, Microsoft Azure Information Protection (AIP/RMS), or Virtru.</li></ul>
<ul><li>Deep understanding of cryptographic protocols (AES-256, RSA), Public Key Infrastructure (PKI), and Key Management Service (KMS) operations.</li></ul>
<ul><li>Proven ability to design complex Attribute-Based Access Control (ABAC) logic and Conditional Access policies.</li></ul>
<ul><li>Understanding of how encryption travels across Cross-Domain Solutions (CDS) and the challenges of key management in air-gapped networks.</li></ul><br>
<div></div>
<div></div>
<div>The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.</div><br>
<div></div>
<p>
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.</p></div>

Senior Data Security Engineer

Accenture Federal Services

<div></div><div><div><div><div>At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.</div>
<div></div>
<div>Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.</div>
<div></div>
<div>Join us to drive positive, lasting change that moves missions and the government forward!</div></div></div><br>
<p></p>
<p>
As a Senior Data Visualization Engineer you will lead the design, automation, and delivery of advanced visual analytics supporting system Test &amp; Evaluation (T&amp;E), performance assessment, and architectural decision-making for programs. This role translates complex technical data into actionable visual insights that drive mission readiness and continuous system optimization.</p>
<p><b>
Key Responsibilities</b></p>
<ul>
<li>Design and develop interactive dashboards and reports to visualize system design activities, requirements validation, and performance assessments.</li>
<li>Create clear, compelling visual representations of system constraints, software characteristics, and performance capabilities across diverse environments.</li>
<li>Transform complex T&amp;E datasets into actionable insights for engineering, architecture, and mission decision-makers.</li>
<li>Automate visualization and reporting workflows across multiple data sources to improve consistency and efficiency.</li>
<li>Collaborate with system T&amp;E engineers to translate technical information into intuitive visual narratives for architectural and operational analysis.</li>
<li>Identify effective visualization techniques to highlight KPIs, anomalies, trends, and system behavior patterns.</li>
<li>Develop and maintain documentation for visualization workflows, data sources, tool usage, and user guidance.</li>
<li>Innovate visualization methods that enhance system insight, mission readiness, and test transparency across the enterprise.</li>
<li>Ensure adherence to visualization standards, best practices, and documentation guidelines.</li>
<li>Support visualization needs for direct support testing of non‑deadly weapons system components essential to R&amp;D, production, and maintenance.</li>
<li>Use enterprise tools such as Power Platform, Power BI, task order portals, ServiceNow, Jira, MS Project, Primavera, eMASS, Archer GRC, CMDB repositories, and predictive analytics engines.</li>
<li>Use role-specific platforms including Tableau, Power BI, Qlik, Python/R visualization libraries, CI/CD visualization automation, big data analytics tools (Spark, Hadoop, Databricks), cloud visualization services, and monitoring platforms (Grafana, SolarWinds, QRadar).</li>
</ul>
<p><b>Required Qualifications</b></p>
<ul>
<li>Previous experience as a Data Visualization Engineer or similar role supporting DoD, preferably at the CCMD level.</li>
<li>Experience requirements based on education:</li>
<li>8 years with BS/BA or 6 years with MS/MA or 5 years with PhD or 10 years with AS/AA or 12 years without a degree</li>
<li>DoD-approved IA baseline certification for ADP‑III/IT‑III and CE/OS certification within six months of assignment.</li>
<li>DoD 8140 alignment for WRC 421, Database Administrator (Intermediate).</li>
</ul>
<p><b>Clearance</b></p>
<ul>
<li>An active TS/SCI is required</li>
</ul><div><div>
<div></div><div><div><b><i>What We Believe</i></b><b><i>
</i></b></div><div><i>As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.</i></div>
</div>
<div></div><div><b><i>Equal Employment Opportunity Statement</i></b></div>
<div><i>We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the</i><i> Accenture Federal Services Equal Opportunity Policy Statement.</i></div>
<div></div>
<div><i>Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.</i></div>
<div></div>
<div><b><i>Requesting An Accommodation</i></b></div>
<div><i>Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.</i></div>
<div></div>
<div><i>If you</i><b><i> </i></b><i>are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.</i></div>
<div></div>
<div><b><i>Other Employment Statements</i></b></div>
<div><i>Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.</i></div>
<div></div>
<div><i>Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.</i></div>
<div></div>
<div><i>Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.</i></div>
<div></div>
<div><i>The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.</i></div>
<div></div>
<div><i>California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please </i><i>click here</i><i> for additional important information.</i></div></div></div></div><p></p>

Senior Data Visualization Engineer

General Dynamics Information Technology

<p></p><div><div><div><p>Your Impact</p><p>
Own your opportunity to support our nation's defense. Make an impact by connecting and securing critical operations across the globe, keeping our country safe and secure.</p><p>
Job Description</p><div><p>
Deliver insights to help our clients turn data into action as a Data Scientist at GDIT. Your work will provide transformative solutions to our clients&rsquo; big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients&rsquo; mission and on your career.<br>
<br>
At GDIT, people are our differentiator. As a Data Scientist you will help ensure today is safe and tomorrow is smarter. Our work depends a Data Scientist leveraging technical and analytical expertise to explore and examine data from multiple disparate sources with the goal of discovering patterns and previously hidden insights that can provide a competitive advantage or address a pressing business problem<br>
<br>
HOW A DATA SCIENTIST WILL MAKE AN IMPACT</p><div><ul><li><br>
Performs scientific work associated with the analytical, statistical, and programming skills to collect, analyze, and interpret large data sets; develop data-driven solutions to difficult business challenges</li><li>Uses expertise in computer science, software development, and the latest technologies to analyze and implement analysis infrastructure and tools, analytic workflow processes, and complex data visualizations.</li></ul></div><ul><li>Leverages knowledge of mathematical and statistical concepts, computer science, or domain expertise to bridge the gap between technologists and mathematicians, ensuring software solutions meet analytic requirements.</li><li>Must be able to both manage and manipulate large data sets, develop data science approaches, and manage data science tasks</li></ul><p><br>
WHAT YOU&rsquo;LL NEED TO SUCCEED:</p><ul><li><p>
Must be proficient in Python, React (HTML, CSS, JavaScript, TS), and SQL. Develop full-stack responsive web applications using Python and React for task automation, data visualization, and analysis.</p></li><li><p>
Build and integrate APIs tailored to specific tasks and requirements.</p></li><li><p>
Maintain best practices for information, data, and network security throughout development and deployment.</p></li><li><p>
Significant experience and understanding of APIs.</p></li><li><p>
Understands and is proficient in the full-stack development process.</p></li><li><p>
Understands data structures, pipelines, and retrieval.</p></li><li><p>
Experience working with databases.</p></li><li><p>
Experience in automating tasks with Python scripting.</p></li></ul><p></p><ul><li>Education: Bachelor&rsquo;s Degree required in Computer Sciences, Applied Math or Science Statistics, Science, Technology, Mathematics, Analytics, or related fields. Requires</li><li>Experience: 0-2 years of experience
</li><li>Security clearance level: No clearance required; accepted candidates will be submitted for TS/SCI. Active TS/SCI eligibility preferred.</li><li>US Citizenship Required</li><li>Location: Site- Tampa, FL</li></ul><br>
GDIT IS YOUR PLACE:<div><ul><li><br>
401K with company match</li><li>Comprehensive health and wellness packages</li><li>Internal mobility team dedicated to helping you own your career</li><li>Professional growth opportunities including paid education and certifications</li><li>Cutting-edge technology you can learn from</li><li>Rest and recharge with paid vacation and holidays</li></ul></div><p></p><p>
#armajobs</p>
#armajobs</div></div><div><div><div><p>
Work Requirements</p></div></div><div></div><div><div>
Years of Experience<div>
1 + years of related experience</div><ul><li>may vary based on technical training, certification(s), <i>or</i> degree</li></ul></div><div></div><div>
Certification</div><p></p><div>
Travel Required<div>
Less than 10%</div></div><div></div><div>
Citizenship<div>
U.S. Citizenship Required</div></div></div></div></div><div><p>
Salary and Benefit Information</p><div>
The likely salary range for this position is $72,250 - $97,750. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.<br>
View information about benefits and our total rewards program.</div><p>
About Our Work</p><div>
We are GDIT. A global technology and professional services company that delivers technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.</div><div>
Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc.</div><div><i>
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans</i></div></div></div>

Data Scientist (On site in Tampa, FL)

NTT DATA

<b>Req ID:</b> 365630
<br><br>
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
<br><br>
We are currently seeking a Senior Data Scientist to join our team in Tampa, Florida (US-FL), United States (US).
<br><br>
<b>Job Duties:</b> NTT is seeking a Data Scientist / ML engineer with 7+ years of experience. This person should be comfortable with the following:
<br><br>
<ul>
<li>Driving new data insights to uncover business opportunities & revenue streams.</li>
<li>Have a firm understanding of statistics and data visualization for communication.</li>
<li>Has an understanding of business growth areas & how to utilize important data. - Be responsible for identifying new analytic trends/ data needs and repeatable analytic solutions.</li>
<li>Able to work with key stakeholders to generate hypotheses and create analytic models that answer impactful business questions</li>
<li>Identifies, analyzes and interprets trends or patterns in complex data sets using various supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches where applicable.</li>
<li>Be experienced in Data Wrangling and Dynamic Model Tuning.</li>
</ul>
<b>Key Responsibilities:</b><br>
<ul>
<li>Working on projects leveraging your expertise in data science, artificial-intelligence and machine learning</li>
<li>Assist in breaking down complex business problems, developing solutions, and delivering with a high degree of focus on client satisfaction.</li>
<li>Conduct market research, develop a point-of-view and communicate effectively back to clients and stakeholders.</li>
<li>Bring innovative thinking, resourcefulness leveraging best practices and creativity to achieve successful client outcomes.</li>
<li>Establish relationships with our clients at the appropriate levels, gain an understanding of the project work and problems encountered.</li>
<li>Work with data sets of varying degrees of size and complexity including both structured and unstructured data.</li>
<li>Piping and processing massive data-streams in distributed computing environments.</li>
<li>Implement batch and real-time model scoring.</li>
<li>Assemble large, complex data sets that meet functional / non-functional business requirements.</li>
<li>Apply business knowledge to analyze data, develop reports and solve problems ·Perform ad hoc analyses of data depending on business needs.</li>
<li>Participate in the analysis and resolution of issues related to information flow and content with data stakeholders.</li>
</ul>
<b>Basic Qualifications:</b><br>
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
<br><br>
o Data Design
<br><br>
o Statistics
<br><br>
o AI/ML
<br><br>
o ML Ops
<br><br>
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
<b>Preferred Skills:</b><br>
<ul>
<li>Master’s degree preferred.</li>
<li>Exercises sound judgment with minimal support from practice executives through structured problem identification, mitigation, and resolution.</li>
<li>You are a team player that is a consistent, dependable performer with an excellent work ethic, flexible "can-do" attitude, and a commitment to success.</li>
<li>Professional verbal and written communication.</li>
<li>Undergraduate or Graduate degree preferred</li>
<li>1+ year of Gen AI / LLM hands on development experience</li>
<li>Ability to drive individual hands on development plus oversee more junior developers / engineers</li>
</ul>
<b>Minimum Skills Required:</b><br>
<ul>
<li>7+ years of experience supporting data science projects in a consulting environment.</li>
<li>7+ year(s) of experience participating in projects that focused on one or more of the following areas:</li>
</ul>
o Predictive Analytics
<br><br>
o Data Design
<br><br>
o Statistics
<br><br>
o AI/ML
<br><br>
o ML Ops
<br><br>
<ul>
<li>7+ years of experience using Python and/or R to analyze disparate datasets.</li>
</ul>
About NTT DATA
<br><br>
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R
<br><br>
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
<br><br>
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Senior Data Scientist

Explore 76+ Data engineer in Tampa this April. Find roles across top companies and apply now to boost your career.