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data scientist

ImpetusIT

<div>
 
 One of our staffing partners is helping an Ecommerce hire a
 
 Data Scientist
 
 
 
 Salary offered $65-75k per year
 
 
 Direct applicants only no c2c or company candidates due to low margins. The staffing company or client will reach directly to the applicants.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop advanced NLP solutions for text generation, summarization, and semantic search
 </li>
 <li>
 Optimize transformer-based architectures for performance and scalability
 </li>
 <li>
 Leverage prompt engineering and model customization to enhance AI outputs
 </li>
 <li>
 Deploy, monitor, and optimize AI models in cloud environments
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI into real-world applications
 </li>
 <li>
 Analyze and preprocess massive datasets for AI-driven insights
 </li>
 <li>
 Hands-on experience with LLMs (GPT, Llama, PaLM, or similar)
 </li>
 <li>
 Proficiency in
 
 Python, TensorFlow, PyTorch.
 
 </li>
 <li>
 Knowledge of transformer architectures, attention mechanisms, and reinforcement learning
 </li>
 <li>
 Familiarity with cloud-based AI environments (AWS, Azure, or GCP)
 </li>
 <li>
 Experience with AI model deployment and optimization techniques
 </li>
 </ul>
 
 
</div>

Data Scientist

Booz Allen Hamilton

<div>Data Scientist
The Opportunity: 
As a data scientist at Booz Allen, you&rsquo;ll unlock insights from complex data to solve mission-critical challenges. In an increasingly connected world, large volumes of structured and unstructured data create opportunities to generate actionable intelligence and drive informed decision-making. On our team, you&rsquo;ll apply your technical expertise and systems thinking to help design analytic capabilities that support national security and mission partner objectives. 
 
This role requires individuals who are comfortable operating in early-stage or evolving data environments, where datasets, pipelines, and analytic frameworks may need to be built simultaneously. You&rsquo;ll work alongside data engineers, system architects, and mission stakeholders to shape the tools, data pipelines, and analytic environments required to enable scalable data science capabilities. 
 
Operate in a &ldquo;No-Fail&rdquo; mission environment, demonstrating extreme ownership and full accountability for outcomes. You&rsquo;ll proactively identify gaps in data availability, infrastructure, or analytic tooling and drive solutions without reliance on external direction. Anticipate risks, remove obstacles, and act decisively to close gaps before they impact mission delivery. 
 
Work closely with clients and mission partners to translate operational questions into analytic approaches. Apply the right combination of data engineering, analytics, and modeling techniques to generate meaningful insights that improve mission effectiveness. 
 
Ultimately, you&rsquo;ll help deliver mission outcomes by enabling teams to better understand their data, the insights it reveals, and how it can be used to support decision-making. 
 
Work with us as we use data science for good.
Join us. The world can't wait. 
 
You Have:<ul><li>
3+ years of experience with data exploration, data analysis, data mining, data visualization, or data science</li><li>
3+ years of experience programming in statistical or general-purpose languages such as Python, R, or languages used for data analysis</li><li>
Experience analyzing structured and unstructured data sources, developing analytical approaches to extract meaningful insights, and developing predictive data models, quantitative analyses, or decision-support tools</li><li>
Experience working with or designing data lakes, data warehouses, and ETL/ELT pipelines supporting analytics and machine learning workflows</li><li>
Experience preparing and transforming data through data ingestion, cleansing, and pipeline development to support scalable analytics</li><li>
Experience collaborating with data engineers, system architects, and mission stakeholders to define analytic requirements and develop solutions</li><li>
Ability to display ownership mentality, and take responsibility for complex technical challenges from problem definition through delivery</li><li>
Ability to operate effectively in ambiguous or evolving data environments where data, pipelines, and analytic frameworks must be developed simultaneously</li><li>
Secret clearance</li><li>
Bachelor&rsquo;s degree</li></ul> 
Nice If You Have:<ul><li>
Experience developing algorithms using Python, R, SQL, or NoSQL technologies</li><li>
Experience with distributed data and computing tools such as Hadoop, Spark, Kafka, EMR, or similar platforms</li><li>
Experience developing machine learning or natural language processing (NLP) solutions</li><li>
Experience working with cloud-based analytics environments such as AWS, Azure, or Google Cloud</li><li>
Experience building data architecture or analytics platforms that support scalable data science</li><li>
Experience with data visualization tools or packages such as Plotly, Seaborn, ggplot2, or Tableau</li><li>
TS/SCI clearance</li></ul>
Clearance: 
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen&rsquo;s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual&rsquo;s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $112,800.00 to $257,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen&rsquo;s total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Work Model 
Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely.<ul><li>
If this position is listed as remote or hybrid, you&rsquo;ll periodically work from a Booz Allen or client site facility.</li><li>
If this position is listed as onsite, you&rsquo;ll work with colleagues and clients in person, as needed for the specific role.</li></ul>
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.</div>

Qode

We are seeking a highly skilled Local to Tmpa,FL Python Data Engineer / Data Scientist to join our team in Tampa, FL. The ideal candidate will have strong experience in building scalable data pipelines, performing data analysis, and developing data-driven solutions using modern tools and technologies. 
Title: Python Data Engineer / Data ScientistLocation: Tampa, FL- Musy be local candiadtes onlyDuration: 6+ Months 
Required Skills:&bull; 3+ years of experience in Data Engineering / Data Science&bull; Strong programming experience in Python&bull; Hands-on experience with SQL and relational databases (PostgreSQL, MySQL, etc.)&bull; Experience with data engineering tools (Airflow, Spark, Kafka, etc.)&bull; Knowledge of cloud platforms (AWS, Azure, or GCP)&bull; Experience with data warehousing solutions (Snowflake, Redshift, BigQuery)&bull; Familiarity with ETL/ELT frameworks&bull; Strong understanding of data structures and algorithmsPreferred Skills:&bull; Experience in Machine Learning / Data Science (scikit-learn, TensorFlow, PyTorch)&bull; Knowledge of data visualization tools (Tableau, Power BI)&bull; Experience with big data technologies (Hadoop, Hive)&bull; Understanding of CI/CD pipelines and DevOps practices&bull; Experience working in Agile environments

Python Data Engineer/Data Scientist

LTIMindtree

<div>Role description 
Job Description

This is an exciting opportunity to join a team focused on revolutionizing financial data interaction through advanced AI We are seeking a highly skilled and motivated Senior Data Scientist specializing in Generative AI to contribute to the development of AIML projects within the Finance domain

Responsibilities
<ul><li> Design develop and implement cutting-edge Generative AI solutions for various AIML projects in Finance building upon existing foundations</li></ul>
<ul><li> Lead the integration of Retrieval Augmented Generation RAG techniques to enhance the accuracy and context awareness of our AI systems</li></ul>
<ul><li> Develop and refine Large Language Model LLM based solutions leveraging expertise in prompt engineering and finetuning</li></ul>
<ul><li> Utilize table transformers and other advanced Python packages for extracting and processing complex financial data</li></ul>
<ul><li> Work end to end on GenAI solutions from data preprocessing and model development to deployment and monitoring</li></ul>
<ul><li> Collaborate with cross functional teams to ensure seamless integration of AI solutions into existing workflows</li></ul>
<ul><li> Stay UpToDate with the latest advancements in GenAI and contribute to our ongoing AI innovation efforts</li></ul>
<ul><li> Communicate technical concepts and findings clearly and effectively to both technical and nontechnical audiences</li></ul>

Qualifications
<ul><li> Bachelors in Computer Sciences or related field</li></ul>
<ul><li> Master&rsquo;s degree or PhD in Data Science Computer Science or a related field is preferred</li></ul>
<ul><li> Proven experience 68 years in developing and deploying AIML solutions in real world settings</li></ul>
<ul><li> Minimum 2 years of experience specifically with Generative AI solutions</li></ul>
<ul><li> Proven experience in developing and deploying Generative AI solutions in real world settings</li></ul>
<ul><li> Deep understanding of</li></ul>

1. Retrieval Augmented Generation RAG

2. Large Language Models LLMs and their applications

3. Transformer models e.g. BERT GPT

4. Agentic AI understanding

5. Prompt engineering and finetuning techniques

6. Vector databases and similarity search

7. Lang Chain LlamaIndex or similar frameworks for building GenAI applications

8. Model evaluation metrics for GenAI

9. MLOps principles and practices for deploying and managing AI models
<ul><li> Strong programming skills in Python including experience with relevant libraries and frameworks e.g. TensorFlow PyTorch scikitlearn Pandas NumPy</li></ul>
<ul><li> Excellent communication collaboration and problem-solving skills</li></ul>
<ul><li> Handson experience with end-to-end AI project development and deployment</li></ul>

Preferred Qualifications
<ul><li> Formal coursework or certifications in Data Science</li></ul>
<ul><li> Experience in the financial services industry</li></ul>
<ul><li> Familiarity with cloud computing platforms e.g. AWS Azure GCP</li></ul>
<ul><li> Contributions to opensource AI projects</li></ul>

What to expect
<ul><li> Opportunity to work on cutting edge AI projects</li></ul>
<ul><li> Collaborative and innovative work environment</li></ul> 
Skills 
Mandatory Skills : AI/Generative AI, GenAI - LLMOps 
Other details 
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):

Benefits and Perks:
<ul>
<li>Comprehensive Medical Plan Covering Medical, Dental, Vision</li>
<li>Short Term and Long-Term Disability Coverage</li>
<li>401(k) Plan with Company match</li>
<li>Life Insurance</li>
<li>Vacation Time, Sick Leave, Paid Holidays</li>
<li>Paid Paternity and Maternity Leave</li>
</ul>
The range displayed on each job posting reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, color, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. 
Benefits 
Compensation range: $98,015.00 to $146,600.00 per year 
About LTM 
LTM is an AI-centric global technology services company and the Business Creativity partner to the world&rsquo;s largest and most disruptive enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI &mdash; enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM &mdash; a Larsen &amp; Toubro company &mdash; owns business outcomes for our clients, helping them not just outperform the market, but to Outcreate it. Please also note that neither LTM nor any of its authorized recruitment agencies/partners charge any candidate registration fee or any other fees from talent (candidates) towards appearing for an interview or securing employment/internship. Candidates shall be solely responsible for verifying the credentials of any agency/consultant that claims to be working with LTM for recruitment. Please note that anyone who relies on the representations made by fraudulent employment agencies does so at their own risk, and LTM disclaims any liability in case of loss or damage suffered as a consequence of the same. Recruitment Fraud Alert - https://www.ltimindtree.com/recruitment-fraud-alert/</div>

Senior Generative AI Engineer (Senior Specialist - Data Sciences)

Citi

<div>The Business Lead Analyst is a strategic professional who stays abreast of developments within own field and contributes to directional strategy by considering their application in own job and the business. Recognized technical authority for an area within the business. Requires basic commercial awareness. There are typically multiple people within the business that provide the same level of subject matter expertise. Developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers. Significant impact on the area through complex deliverables. Provides advice and counsel related to the technology or operations of the business. Work impacts an entire area, which eventually affects the overall performance and effectiveness of the sub-function/job family. 
 
Responsibilities:<ul><li>
Gathering and documenting business requirements</li><li>
Developing individual project artifacts as necessary including Business Requirements Documentation (BRD&rsquo;s), Functional Requirements Documentation (FRD&rsquo;s), test planning and scenario documents for user acceptance testing (UAT), project plans as required for all key technical deliveries.</li><li>
Developing metrics and reporting dashboards and other artifacts for banking operations teams.</li><li>
Day-to-day management of individual project responsibilities including milestone setting, task and actions management, co-ordination and execution of plan within required timelines and to stakeholder quality expectations.</li><li>
Providing implementation / post-implementation project support</li><li>
Foster and maintain relationships with business stakeholders, support, testing and development team members</li><li>
Identify key project risks, whether stated or not, and manage to resolution or escalate accordingly</li><li>
Has the ability to operate with a limited level of direct supervision.
</li><li>Can exercise independence of judgement and autonomy.
</li><li>Acts as SME to senior stakeholders and /or other team members.</li><li>
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.</li></ul> 
Qualifications:<ul><li>
6-10 years' experience</li><li>
Must be extremely organized, motivated and a self-starter</li><li>
Ability to prioritize is key as is ability to juggle several tasks at once.</li><li>
Must work well under pressure whilst, enthusiastic, hard-working and positive</li><li>
Desire to improve processes</li><li>
Advanced working knowledge in the Data Analytics space and exposure to Banking/Lending Operations.</li><li>
Track record as a Business Analyst, Data Scientist or Data Analytics Lead within the Financial Services/Investment Banking industry.</li><li>
Excellent oral and written communication skills and ability to facilitate discussions</li><li>
Ability to quickly grasp and understand new concepts / requirements and related product / functional knowledge</li><li>
Experience of working with Agile Methodologies and Tools for dashboards development.</li><li>
Team player and relationship management skills</li><li>
Ability to work under pressure and manage tight deadlines</li><li>
Ability to learn/understand some technical implications of system design</li><li>
Willingness to ask questions, challenge the process and seek out answers</li><li>
Ability to work independently, prioritize, and take ownership of various parts of a project or initiative</li><li>
Excellent analytical and problem-solving skills</li><li>
Knowledge of the SDLC</li></ul> 
Education:<ul><li>
Bachelor&rsquo;s/University degree, Master&rsquo;s degree preferred</li></ul> 
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Extensive experience building Tableau-based analytics and reporting tools for Banking Operations organizations is desirable
-
Job Family Group:
Business Strategy, Management &amp; Administration
-
Job Family:
Business Management
-
Time Type:
Full time
-
Primary Location:
Tampa Florida United States
-
Primary Location Full Time Salary Range:
$113,840.00 - $170,760.00 
In addition to salary, Citi&rsquo;s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental &amp; vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
-
Most Relevant Skills
Please see the requirements listed above.
-
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
-
Anticipated Posting Close Date:
Mar 25, 2026
-
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. 
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. 
 
View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.</div>

Global Lending Operations Metrics Reporting and Analytics Lead Vice President

MANTECH

<div>
 MANTECH seeks a motivated, career and customer-oriented
 
 Data Analyst
 
 to join our Data and AI Practice onsite in Tampa, FL. In this role, you will design, develop, and implement analytics capabilities to achieve client mission goals. You will collaborate with a team of data engineers, data scientists, and data architects to leverage AI, data science, and data analytics to deliver client solutions. The ideal candidate will have solid data analytics skills and a client-oriented approach to applying technology to develop mission-ready data products that accelerate operational decision-making, enhance situational awareness, and improve mission effectiveness.
 
 
 
 Responsibilities Include But Are Not Limited To
 
 
 
 <ul>
 <li>
 Identify patterns in data to assist in predicting adversary behavior and supporting combat operations.
 </li>
 <li>
 Interpret complex datasets and generate reports, dashboards, and visualizations for quick, operational decision-making.
 </li>
 <li>
 Support the development of analytical models, applying basic statistical methods to identify initial trends relevant to mission data and effectiveness.
 </li>
 <li>
 Develop BI solutions by assisting with the creation and maintenance of interactive dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI) to enhance situational awareness.
 </li>
 <li>
 Collaborate with senior analysts and stakeholders to understand analytical needs and contribute to translating them into basic, mission-ready solutions, including support for AI-driven analytics and automated workflows.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 BA/BS in Bachelor&rsquo;s degree in Information Technology, Computer Science, Statistics, Mathematics, or a related field and a minimum of 4 years of relevant Data Analyst experience.
 </li>
 <li>
 Proficiency in at least one BI visualization tool (e.g., Tableau, Power BI, Qlik Sense).
 </li>
 <li>
 Proficiency with statistical modeling and data mining techniques.
 </li>
 <li>
 Proficiency in SQL for data querying, manipulation, and analysis.
 </li>
 <li>
 Experience cleaning, transforming, and validating datasets.
 </li>
 <li>
 Good communication and presentation skills, with the ability to effectively communicate technical findings to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Information Technology, Computer Science, Statistics, Mathematics, or a related field.
 </li>
 <li>
 Experience analyzing operational data to support decision-making
 </li>
 <li>
 Experience with anomaly and threat detection
 </li>
 <li>
 Experience with cloud-based data platforms (e.g., Advana or Palantir Foundry)
 </li>
 <li>
 Experience supporting DoD programs. Relevant certifications in data science or data analytics
 
 
 </li>
 </ul>
 
 Clearance Requirements
 
 
 
 <ul>
 <li>
 Must possess a current and active TS with SCI Eligibility.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Must be able to be in a stationary position more than 50% of the time
 </li>
 <li>
 Constantly operates a computer and other office productivity machinery, such as a computer
 </li>
 <li>
 The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations
 </li>
 <li>
 The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc.
 </li>
 </ul>
</div>

Data Analyst

Sage Infusion

<div>Description: 
Sage Infusion is seeking a Data Analyst to join our Strategic Analytics team. This role reports to the Director of Strategic Analytics and focuses on building, scaling, and maintaining data solutions that support internal operational reporting, external partnership requirements, and holistic data warehouse initiatives. You will partner closely with Strategic Analytics, Operations, Business Development, and vendor and development teams to ensure accurate, timely, and consistent delivery of data and insights to internal and external partners.
This is a unique opportunity to join a fast-paced healthcare startup at the intersection of data, operations, and business strategy. Your work directly contributes to the success of new and innovative healthcare initiatives that align payer, provider, and patient incentives as we reimagine patient care. This role also offers the opportunity to progressively own more of our data infrastructure as the team and tooling mature. Note: This is not a remote role and candidates are expected to be available to work from the St. Petersburg corporate office.
You Will<ul><li>
Support the design, development, and maintenance of business intelligence pipelines, dashboards, and reporting assets used for data insights and reporting.</li><li>
Respond to priority ad-hoc reporting requests by gathering data and ensuring accuracy under time-sensitive deadlines.</li><li>
Work with Strategic Analytics, Operations, Business Development, and vendor and development partners to translate new initiative and reporting requirements into clear data deliverables.</li><li>
Provide analysis and context on summarized reporting data, flagging potential opportunities or trends to senior leadership.</li><li>
Drive data warehouse process improvements by identifying efficiencies and partnering with Data Warehouse developer to implement new data integrations.</li><li>
Aid in maintaining data integrity and auditability by contributing to documentation, data validation, and QA steps for reporting.</li><li>
Collaborate with business partners to develop reporting requirements for newly developed software and provide quality assurance of reports in advance of deployment.</li><li>
Communicate progress and findings with team leads and cross-functional partners in a clear and timely manner.</li></ul>
Requirements:

 You Have<ul><li>
4+ years of experience in Business Intelligence, Analytics, Data Science, or Data Engineering</li><li>
Expertise in BI/visualization tools (Looker, PowerBI, Tableau, Mode, etc.)</li><li>
Solid experience with SQL, large-scale data sets, and cloud data warehouse concepts (data modeling, ETL, pipeline orchestration, etc.)</li><li>
Experience working with cross-functional teams such as Operations and Business Development</li><li>
Excellent written and verbal communication skills, with ability to explain complex data clearly</li></ul>
Nice To Have<ul><li>
Background in healthcare analytics, clinical reporting, or related industries</li><li>
Experience with cloud data warehouse technical infrastructure and development (Snowflake, AWS, GCP, dbt, etc.)</li><li>
Experience with Python for analysis and automation</li><li>
Knowledge of supporting operational systems such as CRM and EMR systems, particularly HubSpot and WeInfuse</li><li>
Familiarity with HITECH, HIPAA, and PHI management best practices</li></ul>
Background Screening Requirement
This position requires background screening through the Care Provider Background Screening Clearinghouse. For more information, visit: https://info.flclearinghouse.com</div>

Explore 149+ Data scientist in Tampa this March. Find roles across top companies and apply now to boost your career.

149 data scientist jobs In Tampa

Data Scientist

Data Scientist

Python Data Engineer/Data Scientist

Senior Generative AI Engineer (Senior Specialist - Data Sciences)

Global Lending Operations Metrics Reporting and Analytics Lead Vice President

Data Analyst

Data Analyst