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data science & analytics technical lead

data science analytics technical lead

Agile Defense

<div><div><b>About Agile Defense</b></div>
<div></div>
<div>At Agile Defense we know that action defines the outcome and new challenges require new solutions. That&rsquo;s why we always look to the future and embrace change with an unmovable spirit and the courage to build for what comes next.</div>
<div></div>
<div>Our vision is to bring adaptive innovation to support our nation's most important missions through the seamless integration of advanced technologies, elite minds, and unparalleled agility&mdash;leveraging a foundation of speed, flexibility, and ingenuity to strengthen and protect our nation&rsquo;s vital interests.</div><div></div><div><br>
<div><b>
Requisition #: </b>1706</div>
<div><b>Job Title:</b> Data Science &amp; Analytics Technical Lead</div>
<div><b>Location:</b> Tampa, FL</div>
<div><b>Clearance Level: </b>Top Secret / SCI, Must Have Clearance to Start</div>
</div><h3 class="jobSectionHeader"><b>Job Description</b></h3><ul>
<li>Lead the design, development, and deployment of complex machine learning models, statistical analysis, and data mining techniques to solve advanced business problems.</li>
<li>Build and improve predictive models for customer behavior, churn prediction, demand forecasting, and other business-critical areas.</li>
<li>Conduct advanced exploratory data analysis (EDA) to uncover trends, patterns, and actionable insights from structured and unstructured data sources.</li>
<li>Develop and implement algorithms for classification, regression, clustering, natural language processing (NLP), and recommendation systems.</li>
<li>Collaborate closely with cross-functional teams, including data engineering, product, and business teams, to define data science objectives and translate them into actionable projects. Communicate technical results, findings, and recommendations to stakeholders at all levels, ensuring data-driven strategies are clearly understood and actionable.</li>
<li>Lead efforts in feature engineering, hyperparameter tuning, and model validation to ensure high model accuracy, performance, and robustness. Evaluate and apply cutting-edge machine learning frameworks, tools, and techniques to optimize workflows and drive innovation.</li>
<li>Mentor junior data scientists, providing technical guidance and promoting best practices in data science and machine learning.</li>
<li>Work with data engineers to ensure clean, accurate, and accessible data pipelines, ensuring efficient deployment of data products and models.</li>
</ul><h3 class="jobSectionHeader"><b>Education and Background</b></h3><ul>
<li>Typically has a Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (masters degree or PhD strongly preferred)., and 5+ years of experience in data science, machine learning, or a related role, with a track record of leading successful data science projects., or equivalent relevant work experience; e.g., each year of work experience may be substituted for each year of education required.</li>
</ul><h3 class="jobSectionHeader"><b>Years of Experience</b></h3><div>
5+ years</div><h3 class="jobSectionHeader"><b>
Required Skills</b></h3><ul>
<li>The contractor shall identify a Data Science &amp; Analytics Technical Lead by name who shall drive the strategic integration of advanced analytics capabilities across the SOF enterprise. This leadership role is centered on applying scientific methods, algorithms, and systems to transform vast quantities of both structured and unstructured data into actionalble insights and essential knowledge for the Head Quarters (HQ) Staff, Service Components, and TSOCs. Have active active TS/SCI clearance</li>
</ul><h3 class="jobSectionHeader"><b>Preferred Skills</b></h3><ul>
<li>Five years of experience working in SOF analytical support</li>
<li>Three years experience centrally managing distributed data support teams in SOF organizations HQ echelon</li>
<li>Three years experience with SOF digital capabilities</li>
<li>Three years experience with SOF HQ elements, SOF Service Components HQs, and SOF Theater Special Operations Command</li>
</ul><h3 class="jobSectionHeader"><b>Working Conditions</b></h3><div>
General Office Environment</div><div><b>
Our Core Values</b></div>
<div></div>
<div>Employees of Agile Defense are our number one priority, and the importance we place on our culture here is fundamental. Our culture is alive and evolving, but it always stays true to its roots. Here, you are valued as a family member, and we believe that we can accomplish great things together. Agile Defense has been highly successful in the past few years due to our employees and the culture we create together.</div>
<div></div>
<div>What makes us Agile? We call it the 6Hs, the values that define our culture and guide everything we do. Together, these values infuse vibrancy, integrity, and a tireless work ethic into advancing the most important national security and critical civilian missions. It's how we show up every day. It's who we are.</div>
<div></div>
<ul><li><b>Happy </b>- Be Infectious. Happiness multiplies and creates a positive and connected environment where motivation and satisfaction have an outsized effect on everything we do.</li>
<li><b>Helpful</b> - Be Supportive. Being helpful is the foundation of teamwork, resulting in a supportive atmosphere where collaboration flourishes, and collective success is celebrated.</li>
<li><b>Honest</b> - Be Trustworthy. Honesty serves as our compass, ensuring transparent communication and ethical conduct, essential to who we are and the complex domains we support.</li>
<li><b>Humble</b> - Be Grounded. Success is not achieved alone, humility ensures a culture of mutual respect, encouraging open communication, and a willingness to learn from one another and take on any task.</li>
<li><b>Hungry </b>- Be Eager. Our hunger for excellence drives an insatiable appetite for innovation and continuous improvement, propelling us forward in the face of new and unprecedented challenges.</li>
<li><b>Hustle</b> - Be Driven. Hustle is reflected in our relentless work ethic, where we are each committed to going above and beyond to advance the mission and achieve success.</li>
</ul>
<div></div><div><b>Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities</b></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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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 Science & Analytics Technical Lead

Deloitte

<div>
 Join Deloitte's Core AI &amp; Data practice and help organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities. As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and technology teams to modernize data environments, support analytics and artificial intelligence use cases, and deliver measurable business outcomes. This role offers the opportunity to help clients implement enterprise-scale Databricks solutions that improve platform performance and expand data-driven decision-making.
 <br/>
 <br/>
 Recruiting for this role ends on 07/03/2026.
 <br/>
 <br/>
 Work you'll do
 <br/>
 <br/>
 As a Databricks Data Engineer on the Core AI &amp; Data team, you will be responsible for:
 <br/>
 <br/>
 <ul>
  <li>
   Design, build, and maintain data pipelines and data engineering solutions using Databricks, Apache Spark, Python, and Structured Query Language (SQL)
  </li>
  <li>
   Support the modernization of enterprise data platforms by implementing cloud-based ingestion, transformation, and storage patterns
  </li>
  <li>
   Develop and maintain batch and streaming data workflows that support reporting, analytics, and artificial intelligence use cases
  </li>
  <li>
   Apply data architecture, integration, and data modeling practices to improve data quality, scalability, and platform performance
  </li>
  <li>
   Collaborate with client and Deloitte teams to troubleshoot issues, implement enhancements, and support delivery of large-scale data transformation programs
  </li>
  <li>
   A successful candidate would possess these skills:
  </li>
  <li>
   Ability to work independently and collaborate as part of a team
  </li>
  <li>
   Effective written and verbal communication skills
  </li>
  <li>
   Meticulous attention to detail and quality of work product
  </li>
  <li>
   Ability to build and sustain professional relationships
  </li>
  <li>
   Ability to lead projects or workstreams
  </li>
  <li>
   Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  </li>
  <li>
   Strong interpersonal skills and professional demeanor
  </li>
  <li>
   Ability to meet deadlines
  </li>
  <li>
   Ability to provide clear guidance to others
   <br/>
   <br/>
  </li>
 </ul>
 The team
 <br/>
 <br/>
 Deloitte's Core AI &amp; Data practice helps organizations modernize data platforms, strengthen enterprise data foundations, and scale analytics and artificial intelligence capabilities across the business. The team works with clients to architect, engineer, and deploy cloud-based data solutions that improve decision-making, enable innovation, and support large-scale transformation. Practitioners collaborate across business and technology functions to solve complex challenges in data modernization, governance, platform engineering, and insight delivery.
 <br/>
 <br/>
 Qualifications Required:
 <br/>
 <br/>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Mathematics, or Statistics
  </li>
  <li>
   3+ years of experience in data engineering, extract, transform, load (ETL) development, or data platform engineering
  </li>
  <li>
   2+ years of experience building data pipelines in Databricks using Apache Spark, Python, and Structured Query Language (SQL)
  </li>
  <li>
   Experience implementing data models, data integration patterns, and cloud-based data processing workflows
  </li>
  <li>
   Experience working with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
  </li>
  <li>
   Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
  </li>
  <li>
   Limited immigration sponsorship may be available.
   <br/>
   <br/>
  </li>
 </ul>
 Preferred:
 <br/>
 <br/>
 <ul>
  <li>
   Experience with Delta Lake, Databricks Workflows, and Unity Catalog
  </li>
  <li>
   Experience using Git-based version control and continuous integration/continuous deployment pipelines
  </li>
  <li>
   Experience supporting batch and streaming data workloads
  </li>
  <li>
   Experience with data warehousing, lakehouse architecture, and performance optimization
  </li>
  <li>
   Experience supporting analytics or machine learning data pipelines
  </li>
  <li>
   Experience working in consulting or client service delivery environments
   <br/>
   <br/>
  </li>
 </ul>
 The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $86,700 to $170,900.
 <br/>
 <br/>
 Information for applicants with a need for accommodation:
 <br/>
 <br/>
 https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applic...
</div>


Databricks Data Engineer

MANTECH

<div><p><b>MANTECH</b> seeks a motivated, career and customer-oriented <b>Data Scientist</b> to join our team in <b>Tampa, FL</b>.</p><p></p><p>
The Data Scientist will leverage their strong technical background and knowledge to interpret and analyze complex sets of data to produce actionable insights. This role requires a knowledge of programming, mathematical modeling, and statistics to carry out machine learning projects.</p><p></p><p><b>
Responsibilities include but are not limited to:</b></p><ul><li>
Quantitative analysis of data sets using exploratory mathematical and statistical analysis.</li><li>
Coordinating data analytic research activities applied to structured and unstructured data sets.</li><li>
Providing novel solutions to command data challenges through experimentation, by applying scientific methodology and statistics to frame problems and test hypotheses.</li><li>
Apply natural language processing (NLP) methods, clustering techniques and predictive modeling to generate insights.</li><li>
Designing and automating processes to facilitate the manipulation and analysis of data across dissimilar and large-scale data sets; cleaning and organizing data sets.</li><li>
Using frameworks such as Spark and Hadoop for large-scale data processing</li><li>
Creating data visualizations using products like Tableau or Power BI.</li><li>
Researching, designing, and implementing algorithms to solve complex problems using R, Python (NumPy, SciPy, Pandas), or similar scientific programming languages.</li><li>
Perform statistical modeling and machine learning cloud-based ML platforms.</li><li>
Communicating complex concepts and hypotheses to a non-technical audience.</li></ul><p></p><p><b>
Minimum Qualifications:</b></p><ul><li>
Bachelor&rsquo;s degree in a STEM field; a Bachelor's degree in a related field is acceptable with verifiable work experience.</li><li>
Proficiency with one or more programming languages such as Python, R or Java.</li><li>
Demonstrated experience applying data science methods to real-world data problems.</li><li>
Proficiency in Agile Development and Git Operations.</li><li>
Experience creating, maintaining, and communicating complex technical documentation and analytical reporting.</li><li>
Ability to obtain an Interim Secret clearance within 30 days of hire.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s degree in Data Science, Applied Mathematics, Statistics, Physics, or Computer Science.</li><li>
Experience with the Sponsor&rsquo;s primary cyber risk and compliance automation tools.</li></ul><p></p><p><b>
Clearance Requirements:</b></p><ul><li>
Active Secret clearance and the ability to obtain and maintain TS/SCI</li></ul><p></p><p><b>
Physical Requirements:</b></p><ul><li>
Must be able to remain in a stationary position 50%.</li><li>
Needs to occasionally move about inside the office to access file cabinets, office machinery, etc.</li><li>
Frequently communicates with co-workers, management, and customers, which may involve delivering presentations.</li><li>
Must be able to exchange accurate information in these situations.</li></ul></div>

Data Scientist

JPMorganChase

<div><b>JOB DESCRIPTION</b><br>
<br>
<br>
<p>As Applied AI/ML Lead within Commercial &amp; Investment Bank with the Healthcare Provider team, you will lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents. You will architect and implement computer vision pipelines leveraging CRNN architectures for document type identification, page-level categorization, and visual feature extraction.</p>
<p><b>Job responsibilities</b>
</p><ul><li>Lead the design, development, and production deployment of AI/ML solutions focused on image classification, text categorization, and data extraction from scanned TIF documents and evaluate and explore additional models and architectures to continuously improve classification accuracy, extraction quality, and processing efficiency.</li>
<li>Drive the development and fine-tuning of models for document understanding, text categorization, named entity recognition, and semantic understanding and combine visual layout information, textual content, and spatial relationships to extract structured data from complex scanned documents, while enabling automated categorization and metadata tagging of OCR-extracted text.</li>
<li>Lead the integration and optimization of OCR technology and generative AI capabilities into the document processing pipeline, ensuring high-accuracy text extraction from scanned TIF images across diverse document types, layouts, fonts, and quality levels. Leverage Amazon Bedrock to explore foundation model capabilities for intelligent document understanding, classification, document summarization, and augmenting traditional extraction pipelines.</li>
<li>Architect and implement scalable ML training and inference pipelines using AWS SageMaker, managing model training, hyperparameter tuning, distributed training for large vision models, and real-time/batch inference endpoint deployment. Collaborate with software engineering teams to integrate trained models into Java/Python-based microservices deployed on AWS EKS, ensuring low-latency, high-throughput inference for production document processing workloads.</li>
<li>Establish robust MLOps practices and annotation workflows, including model versioning, automated retraining triggers, A/B testing of model variants, drift detection on document distributions, and comprehensive performance monitoring dashboards and design and manage labeling strategies for training data, ensuring high-quality ground truth datasets for image classification, text categorization, and document extraction tasks.</li>
<li>Build and manage a team of ML engineers and applied scientists, fostering a culture of experimentation, rapid prototyping, and rigorous evaluation of model performance against business KPIs.</li>
</ul><p></p><p><b>Required qualifications, capabilities, and skills</b>
</p><ul><li>Bachelor's degree or MS or PhD in quantitative discipline, e.g. Computer Science, Mathematics, Operations Research, Data Science.</li>
<li>7+ years of experience in applied ML/AI roles with at least 2+ years leading teams or large-scale ML initiatives</li>
<li>Advanced proficiency in Python and enterprise languages, with deep experience in PyTorch, TensorFlow, Hugging Face Transformers, OpenCV, and Pillow for model development and image processing. Proficiency in Java and/or Groovy for integrating ML capabilities into backend services and enterprise application ecosystems. Familiarity with Oracle databases for feature extraction, training data retrieval, and integration with ML workflows.</li>
<li>Deep expertise in computer vision and NLP models, with hands-on experience implementing and fine-tuning CRNN-based architectures for image classification and feature extraction. Strong experience with multimodal document understanding combining text, layout, and image features. Proficiency in transformer-based NLP models for text categorization, sequence labeling, named entity recognition, and semantic analysis of OCR-extracted content.</li>
<li>Practical experience with OCR technologies and image preprocessing, for text extraction from scanned documents, with an understanding of OCR accuracy optimization, preprocessing techniques, and post-processing correction. Experience with image preprocessing for scanned documents in TIF format, including multi-page handling, resolution normalization, deskewing, binarization, and noise removal.</li>
<li>Deep hands-on experience with AWS SageMaker and Amazon Bedrock, including end-to-end ML workflows such as training jobs, processing pipelines, model registry, distributed training, and real-time/batch inference endpoints. Practical experience leveraging foundation models, prompt engineering, and building generative AI-augmented document processing solutions. Experience deploying and scaling ML models as containerized microservices on AWS EKS using Docker and Kubernetes, with expertise in optimizing GPU-based inference workloads.</li>
<li>Strong knowledge of MLOps tools and practices, including MLflow, SageMaker Pipelines, or equivalent platforms for experiment tracking, pipeline automation, and model lifecycle management. Excellent leadership and communication skills with the ability to present complex technical concepts to senior leadership and non-technical audiences.</li>
</ul><p></p><p><b>Preferred qualifications, capabilities, and skills</b>
</p><ul><li><p>Domain expertise in the healthcare industry
</p></li><p></p><li><p>Experience in applied ML/AI roles in document processing, computer vision, or NLP domains</p>
</li></ul><p></p><b>ABOUT US</b><br>
<br>
<br>
<div><div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
</div><p></p><div><p>We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
</p><div><p>We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.</p>
<p>JPMorgan Chase &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans</p><br>
</div></div></div><br>
<br>
<b>ABOUT THE TEAM</b>
<br>
<br>
J.P. Morgan's Commercial &amp; Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial &amp; Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.</div>

Applied AI/ML Lead

LTIMindtree

<div><b>Role description</b><p><b><br>
Job Title: Data Modeling</b></p>
<p><b>
Work Location</b> : Tampa,Florida</p>
<p>
Job Summary</p>
<p>
 Seeking a Senior professional with 3 to 5 years of experience in Dimensional Data Modeling within the Data Modeling domain to design and optimize data structures for business intelligence and analytics</p>
<p>
 Job Description</p>
<p>
 Design and develop dimensional data models to support analytics and reporting needs Collaborate with data architects and business stakeholders to translate requirements into effective data models Ensure data integrity and consistency across various data sources Analyze existing database schemas and recommend enhancements for scalability and performance Maintain comprehensive documentation of data models and related database schemas Stay current with industry trends and best practices in dimensional data modeling</p>
<p>
Roles and Responsibilities</p>
<p>
 Lead the design and implementation of dimensional data models aligned with business objectives Work closely with ETL developers to facilitate smooth data integration and transformation processes Conduct data profiling and validation to ensure data accuracy and completeness Provide guidance and mentorship to junior team members on data modeling principles and techniques Collaborate with crossfunctional teams to support data analytics and reporting initiatives Troubleshoot and resolve issues related to data modeling and database performance Participate in code reviews to enforce adherence to data modeling standards and best practices</p><br>
<p></p>
<b>
Skills</b><p><b><br>
Mandatory Skills : </b>Dimensional Data Modeling</p><b><br>
Other details</b><p><br>
Actual compensation within the range will be dependent upon the individual's skills, experience, performance and internal equity.</p>
<p>
Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (&ldquo;LTIM&rdquo;):</p>
<p>
Benefits and Perks:</p>
<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>
<p>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.</p><p></p>
<b>Disclaimer</b>: The compensation and benefits information provided herein is accurate as of the date of this posting.<p></p>
<b>
LTIMindtree</b> 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.<p></p><b><br>
Benefits</b><br>
Compensation range: $86,031.00 to $113,900.00 per year<br>
<b>About LTM</b><br>
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 Data 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>
As a Digital Content Creator (Farsi Language Specialist), you will play a critical role in driving success and innovation. Our work depends on a Digital Content Creator joining our team to create compelling multi-format content that grows audiences across digital platforms, with a particular focus on Farsi-speaking audiences. This role combines strategy and creativity to turn concepts into engaging content across text, social, video, and audio formats. Success in this position requires strong digital content skills, native or near-native Farsi fluency, data fluency, and collaboration across teams, with a focus on delivering content that supports audience engagement.</p><p>
HOW A DIGITAL CONTENT CREATOR WILL MAKE AN IMPACT</p><ul><li><p>
Sources information and shapes it into multiple formats, including text, social, video, and audio, to effectively engage audiences, especially Farsi-speaking communities.</p></li><li><p>
Drives content creation strategies to grow audiences across digital platforms.</p></li><li><p>
Analyzes audience metrics and leverages data to shape content strategies.</p></li><li><p>
Collaborates across teams to deliver content that supports audience engagement goals.</p></li><li><p>
Experiments with emerging platforms and technologies to optimize content delivery.</p></li><li><p>
Utilizes AI and automation tools to enhance content production.</p></li><li><p>
Manages and publishes content on popular social media platforms.</p></li><li><p>
Supports digital advertising efforts, including platforms like Meta and Google Ads.</p></li><li><p>
Leverages digital analytics platforms like Google Analytics to track and improve performance.</p></li></ul><p>
WHAT YOU&rsquo;LL NEED TO SUCCEED</p><p>
Education:</p><ul><li><p>
Bachelor's Degree preferred; experience may be substituted in lieu of degree.</p></li></ul><p></p><p>
Experience:</p><ul><li><p>
Proven experience working in a digital publishing environment.</p></li><li><p>
Experience managing and publishing content on popular social media platforms.</p></li><li><p>
5+ years experience required.</p></li></ul><p></p><p>
Skills and Abilities:</p><ul><li><p>
Native or near-native fluency in Farsi, with strong writing and editing skills in Farsi and English.</p></li><li><p>
Strong writing and editing skills, with a focus on digital content and adaptability to changing trends and technologies.</p></li><li><p>
Proficiency in SEO and social media optimization, with a commitment to continuous experimentation across emerging platforms.</p></li><li><p>
Ability to analyze audience metrics and leverage data to shape content strategies.</p></li><li><p>
Familiarity with multimedia content editing.</p></li><li><p>
Familiarity with AI and automation tools to enhance content production.</p></li><li><p>
Familiarity with digital advertising platforms like Meta and Google Ads.</p></li><li><p>
Familiarity with digital analytics platforms like Google Analytics.</p></li></ul><p>
Preferred Skills:</p><ul><li><p>
Proficiency in Adobe Creative Suite or similar production tools.</p></li><li><p>
Experience using WordPress or similar content management platforms and familiarity with HTML/CSS.</p></li><li><p>
Strong understanding of SEO principles, including keyword research and implementation strategies to improve organic search rankings.</p></li><li><p>
Experience with social media management tools like Hootsuite and social media marketing strategies.</p></li><li><p>
Additional Middle Eastern language skills are a plus.</p></li></ul><p>
Location:</p><ul><li><p>
Customer Site (Tampa, FL)</p></li></ul><p></p><p>
Clearance: Must have the ability to obtain a secret clearance. US Citizenship is Required</p><p></p><p>
GDIT IS YOUR PLACE<br>
At GDIT, the mission is our purpose, and our people are at the center of everything we do.</p><ul><li><p>
Growth: AI-powered career tool that identifies career steps and learning opportunities</p></li><li><p>
Support: An internal mobility team focused on helping you achieve your career goals</p></li><li><p>
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off</p></li><li><p>
Community: Award-winning culture of innovation and a military-friendly workplace</p></li></ul><p></p><p>
OWN YOUR OPPORTUNITY<br>
Explore a career in intelligence at GDIT and you&rsquo;ll find endless opportunities to grow alongside colleagues who share your passion for securing the mission.</p><p></p><p>
#armajobs</p>
</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 $80,750 - $109,250. 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>
Our Identity Verification Process</p><div>
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.</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 26,000 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>

Digital Content Creator (Farsi Language Specialist)

Philip Morris International

<div><p><b>Manager, Performance Realization - Tampa, FL</b></p><p></p><p><br>
Be a part of a revolutionary change!</p><p></p><p><br>
At Philip Morris International (PMI), we&rsquo;ve chosen to do something incredible. We&rsquo;re totally transforming our business and building our future on one clear purpose &ndash; to deliver a smoke-free future.</p><p></p><p><br>
With huge change, comes huge opportunity. So, if you join us, you&rsquo;ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions.</p><p></p><p><br>
Our success depends on people who are committed to our purpose and have an appetite for progress.</p><p></p><p><b><br>
Position Overview:</b></p><p>
We are seeking a highly motivated Manager - Performance Realization to lead our efforts in achieving business and commercial success for PMI's smoke-free product portfolio.</p><p></p><p><br>
As a vital member of our team, you will collaborate with various departments within our commercial function, focusing on both IQOS and ZYN brands. Reporting directly to the Sr. Manager Consumer &amp; Portfolio Intelligence, you will spearhead a consumer-centric approach that is essential to our company's vision for a smoke-free future.</p><p></p><p><br>
In this role, you will have the autonomy to lead, plan, and implement market research studies to track performance of our brands among legal age nicotine users, connecting the dots with business needs to drive our consumer-centric agenda. You will play a crucial part in shaping our smokefree products portfolio strategy, contributing to the innovative and forward-thinking culture of our organization.</p><p></p><p><br>
We take pride in fostering an environment where your ideas are valued and your growth is encouraged. Join us in making a significant impact and be a part of a team that is dedicated to making a difference in the world.</p><p></p><p><b><br>
Your Day to Day:</b></p><ul><li>
Drive business decision-making by translating consumer, brand, and market insights into clear, actionable recommendations that shape strategy and commercial outcomes.</li><li>
Own the diagnosis of brand and category performance by identifying key drivers of growth&mdash;and framing the &ldquo;so what&rdquo; for the business.</li><li>
Build integrated, real-time view of consumer performance signals that fuels end-to-end Insights ecosystem.</li><li>
Embed agile and innovative research approaches to accelerate learning cycles, ensuring insights are delivered at the speed and flexibility required by the business.</li><li>
Lead end-to-end research projects&mdash;from defining business questions and shaping proposals to writing/reviewing questionnaires, managing fieldwork, and synthesizing outputs into clear, decision-ready recommendations.</li><li>
Leverage complex data sources (primary, syndicated, and behavioral) to uncover insights, quantify impact, and provide evidence-based guidance to stakeholders.</li><li>
Create compelling, story-driven narratives and visualizations that clearly communicate insights, influence stakeholders, and drive business action across functions and seniority levels.</li><li>
Work closely with data product teams to build dashboards and enable easy access to data &amp; insights</li></ul><p></p><p><b><br>
Who we're looking for:</b></p><ul><li>
Bachelor's Degree in Business, Sociology, Psychology, Statistics, Marketing or Research</li><li>
Minimum 5+ years of experience in consumer insights &amp; data analytics within CPG or consumer research agency</li><li>
A true team player who thrives in a fast-paced, entrepreneurial environment and possesses expertise in consumer research methodologies and processes. Capable of coordinating with research partners from drafting briefs to finalizing contracts and managing projects effectively.</li><li>
Extensive knowledge and proven application of a wide range of quantitative and qualitative research initiatives and methodologies to address business objectives, including survey development and execution, segmentation, advertising effectiveness, longitudinal panel research, usage &amp; attitude studies, ethnographies, focus groups, in-depth interviews, brand tracking, and product research.</li><li>
Curiosity-driven mindset to data exploration &amp; pattern recognition, able to translate complex data patterns into clear, actionable insights</li><li>
Exceptional written and verbal communication skills, with experience presenting to diverse audiences. You are articulate, engaging, and capable of bringing your stories to life with clear and actionable recommendations.</li><li>
Entrepreneurial and results-driven mindset, adept at aligning top-down, cross-functional, and market priorities, analyses, and insights.</li><li>
Experienced in managing research vendors to deliver high-quality work on time and within budget.</li><li>
Experienced in building dashboards</li><li>
Advanced proficiency in Microsoft Office applications.</li><li>
Expertise in modeling &amp; analytics to uncover drivers of consumer behavior</li><li>
Ability to work collaboratively in a team environment and adapt to changing business needs.</li><li>
Willingness to travel as required.</li><li>
Fluent in English
</li><li>Legally authorized to work in the U.S.</li></ul><p></p><p><b><br>
Annual Base Salary Range:</b> $104,000 - $130,000</p><p></p><p><b><br>
What we offer</b></p><ul><li>
We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!</li><li>
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.</li><li>
Seize the freedom to define your future and ours. We&rsquo;ll empower you to take risks, experiment and explore.</li><li>
Be part of an inclusive, diverse culture where everyone&rsquo;s contribution is respected; Collaborate with some of the world&rsquo;s best people and feel like you belong.</li><li>
Pursue your ambitions and develop your skills with a global business &ndash; our staggering size and scale provides endless opportunities to progress.</li><li>
Take pride in delivering our promise to society: To improve the lives of millions of smokers.</li></ul><p></p><p><br>
PMI is an Equal Opportunity Employer.</p><p></p><p><br>
PMI is headquartered in Stamford, Conn., and its U.S. affiliates have more than 3,000 employees.</p><p></p><p><br>
PMI has been an entirely separate company from Altria and Philip Morris USA since 2008. PMI&rsquo;s affiliates first entered the U.S. market following the company&rsquo;s acquisition of Swedish Match in late 2022. Philip Morris International and its U.S. affiliates are working to deliver a smoke-free future. Since 2008, PMI has invested $12.5 billion globally to develop, scientifically substantiate and commercialize innovative smoke-free products for adults who would otherwise continue to smoke with the goal of transitioning legal-age consumers who smoke to better alternatives. In 2022, PMI acquired Swedish Match &ndash; a leader in oral nicotine delivery &ndash; creating a global smoke-free champion led by the IQOS and ZYN brands. The U.S. Food and Drug Administration has authorized versions of PMI&rsquo;s IQOS electronically heated tobacco devices and Swedish Match&rsquo;s General snus as Modified Risk Tobacco Products and renewal applications for these products are presently pending before the FDA. For more information, please visit www.pmi.com/us and www.pmiscience.com</p><p></p><p><br>
#PMIUS #LI-ES1</p></div>

Manager Performance Realization

Explore 60+ Data science analytics technical lead in Tampa this July. Find roles across top companies and apply now to boost your career.