machine learning analyst

One Click Solution

<p>OneClick is looking for a driven and analytical Mid-Level Data Analyst with a strong focus on predictive modeling, forecasting, and applied machine learning.</p><p>Location: Main Shahra-e-Faisal, Karachi</p><p>Shift Timing: Morning (10:00 am &ndash; 6:00 pm)</p><p><b>Key Responsibilities:</b></p><ul><li>Analyze large, complex datasets using Python to uncover trends, patterns, and actionable insights.</li><li>Build, validate, and deploy predictive models and forecasting solutions to support data-driven decision-making.</li><li>Apply machine learning techniques (regression, classification, time-series forecasting, etc.) to solve business problems.</li><li>Automate data analysis workflows and modeling pipelines to improve efficiency and scalability.</li><li>Develop Power BI dashboards to communicate model-driven insights and forecasts to stakeholders (dashboarding is secondary to modeling).</li><li>Ensure data accuracy, integrity, and consistency across all analyses and reporting outputs.</li><li>Collaborate with cross-functional teams to translate business requirements into analytical solutions.</li></ul><p><b>Qualification and Requirement:</b></p><ul><li>Bachelor&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>1&ndash;2 years of proven experience as a Data Analyst, Machine Learning Analyst, or similar role.</li><li>Strong proficiency in Python for data analysis, predictive modeling, and machine learning.</li><li>Hands-on experience with forecasting and predictive analytics techniques.</li><li>Experience using Power BI to visualize and present insights derived from analytical models.</li><li>Familiarity with automating data pipelines and analytical workflows is a plus.</li><li>Strong problem-solving skills with the ability to communicate complex insights clearly.</li></ul><p>Job Type: Full-time</p><p>Work Location: In person</p>

Mid-Level Data Analyst

UT Health Science Center at San Antonio

<p></p><div><p>Job Description</p></div>
<br><div><p>We are looking for a talented <b>data analyst </b>with <b>solid Python and Linux/Bash programming skills </b>who is willing to work with advanced big imaging data and machine learning tools. Your work environment will be the Neuroimage Analytics Laboratory (NAL) and the Biggs Institute Neuroimaging Core (BINC). We build advanced neuroimage analytical techniques as part of our work to investigate the origin and progression of neurodegenerative diseases. Data-driven approaches are of special interest in our lab, as we use machine learning and machine intelligence to derive disease models that can complement and validate neurologists' and biologists' approaches. On a broader goal, our tools aim at delivering precise diagnostics on an individual's level and could ultimately guide treatment progress.<br>
</p><p></p><p>This is an ONSITE position local to San Antonio, TX.</p></div>
<br><div><ul>Responsibilities</ul></div>
<br><div><ul><li>Implementing and testing advanced image processing pipelines designed for the analysis of brain scans.
</li><li>Applying these pipelines to large neuroimaging datasets from various clinical studies, including T1 and T2-weighted MRI, DTI, functional MRI, and PET scans.
</li><li>Working in teams, within NAL, BINC, and Biggs and with national and international collaborators.
</li><li>Maintaining lab servers' databases.
</li><li>Helping with the visual quality control of the processed scans.
</li><li>Taking part in the redaction of scientific publications by providing statistics and pipelines technical details .</li></ul></div>
<br><p></p><div><ul><li><p>Qualifications</p></li></ul></div>
<br><div><p>Most pipelines will be implemented in Bash to run on our high-performance Linux computing cluster. Python programming will be required to handle the scans, quickly generate plots, and implement additional Deep Learning image processing pipeline modules. A knowledge of R programming, Docker containers, or Singularity containers would be a plus. Priority will be given to the candidates with significant experience in Computer Vision and Image Processing.
</p><p>In general, data analysts working in our institute are expected to be able to quickly present data in organized, readable formats including written reports and graphical summaries. All employees must comply with institutional policies, rules and regulations to meet federal, state and local standards and codes pertaining to safety and ethics.
</p><p>EDUCATION:
</p><ul><li><p>Bachelor's degree in a specialized field of study is required.
</p></li><li><p>Master's degree related to computer programming is preferred.
</p></li></ul><p>EXPERIENCE:
</p><ul><li><p>Three (3) years of related experience is required. Master's degree is preferred.</p></li></ul></div>
<br>Required Skills
<br>Three (3) years of related experience is required.

Data and Imaging Analyst

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next!<br>
<p></p>
At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible.<p></p><p><b><br>
Job Description:</b></p><p>
Data Analyst</p><p></p><p>
Job Description:</p><p>
Location: Camp Smith, HI</p><p></p><p><b>
Clearance Needed: TS/SCI, which requires US citizenship</b></p><p></p><p>
Are you ready to leverage your data analysis and artificial intelligence experience to work on complex projects supporting a critical mission in the Indo-Pacific region? The ideal candidate will be a proactive self-starter, capable of working across multiple staff sections to collect, manage, and analyze disparate datasets to combat drug-related transnational crime using cutting-edge AI methodologies.</p><p></p><p>
Specific Responsibilities:</p><p></p><ul><li>Work closely with client staff, managers, and other leaders to help strategically plan, develop, analyze, and represent information in support of mission objectives.</li><li>Use, modify, and tailor mission partner assessment tools (e.g., Command and Control of the Information Environment - C2IE)</li><li>Verify data for validity to ensure accurate analytic results and apply a wide range of analytical data-mining techniques to produce accurate data sets</li><li>Coordinate with operational technical experts in support of assessments with high visibility, unusual urgency, or program criticality</li><li>Develop, create, and execute data solutions across the client's portfolio; utilize SharePoint, Microsoft products, and information sharing databases to share and collaborate findings with internal and external partners.</li><li>Develop, train, and deploy machine learning (ML) models to identify patterns, anomalies, and predictive indicators of transnational criminal activities within large datasets.</li></ul><p></p><p>
Required Education/Experience:</p><p><b>
Active DoD TS security clearance with SCI eligibility</b></p><ul><li>2+ years relevant experience with Bachelors in a related field; will consider experience in lieu of degree.</li><li>Demonstrated experience in applying machine learning algorithms and statistical modeling for data analysis</li><li>Effective organizational, planning, and time management skills</li><li>Ability to synthesize disparate data from multiple sources into coherent reports/documents</li><li>Ability to work independently while responding promptly to requests for information</li><li>Adaptability in a dynamic work environment; ability to manage changing priorities effectively</li><li>Excellent written and verbal communication skills. Ability to proofread, edit, and finalize products for senior leader briefings and external organizations</li><li>Valid US Passport</li></ul><p></p><p>
Preferred Experience:</p><p></p><ul><li>Experience supporting USINDOPACOM intelligence or operations</li><li>Previous experience supporting DoD, counter-drug, and law enforcement missions</li><li>Familiarity with Command and Control of the Information Environment (C2IE)</li><li>Experience with Natural Language Processing (NLP) techniques for analyzing unstructured text data.</li></ul><p></p><p><b>
Security Clearance Requirement:</b></p>
An active Top Secret SCI security clearance is required for this position.
<p></p>This position is part of our Federal Solutions team.<p></p>
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.<p></p>
Salary Range: $86,700.00 - $151,700.00<p></p>
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!<p></p>
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.<p></p>
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<p></p><div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
<br><div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div><br>
Financial Wellness</div><div><br>
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div><br>
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div><br>
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div><br>
Veteran Support</div><div><br>
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div><br>
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div><br>
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div><p></p>

Data Analyst TS/SCI

eBay

<div>
 At eBay, we're more than a global ecommerce leader &mdash; we&rsquo;re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We&rsquo;re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
 <br/>
 <br/>
 Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work &mdash; every day. We're in this together, sustaining the future of our customers, our company, and our planet.
 <br/>
 <br/>
 Join a team of passionate thinkers, innovators, and dreamers &mdash; and help us connect people and build communities to create economic opportunity for all.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Analyze eBay&rsquo;s large and rich datasets, drive insights from data to diagnose the root cause behind trends and ultimately improve our user experience.
  </li>
  <li>
   Build machine-learning models to predict user behaviors and infer marketing performance, support business decisions through trusted and well-defined model results.
  </li>
  <li>
   Measure and optimize ongoing performance for marketing activities based on data-driven insights, understand key drivers and identify new marketing opportunities by focusing on bankable metrics. Deep-dive into campaign performance and provide insights into what is working and why
  </li>
  <li>
   Mine data to optimize marketing campaigns, revenue growth, and customer experiences. Perform customer segmentation to understand target audiences better.
  </li>
  <li>
   Develop strategies for channel optimization and content strategy.
  </li>
  <li>
   Design, develop, and execute experimentation frameworks, including A/B testing and uplift modeling, to measure marketing effectiveness.
  </li>
  <li>
   Develop and implement solutions for Marketing Mix Modeling (MMM) and Marketing Attribution (MTA).
  </li>
  <li>
   Provide data support for business operation, design self-service tools, dashboards etc.
  </li>
  <li>
   Communicate business performance in a clear and insightful way to the business.
  </li>
  <li>
   Develop, improve and systemize crisp &amp; accurate reporting. Streamline processes and identify/execute on automation and time-saving opportunities. Leads automation of recurring tasks.
  </li>
  <li>
   Translates business problems into a scientific formulation for an AI/Analytics Product solution. Defines requirements and collaborates with engineers to build and productionize AI enabled Analytics Products.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Job Skills Required
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Intellectual curiosity, passion for problem-solving, and comfort with ambiguity.
  </li>
  <li>
   A passion for understanding and serving the unique community of eBay.
  </li>
  <li>
   Sound business judgment and quantitative analytic ability.
  </li>
  <li>
   Strong communication skills and experience presenting complex quantitative analysis into action-oriented recommendations.
  </li>
  <li>
   Understand a variety of machine-learning techniques (regression, clustering, decision tree learning, etc.) and their real-world advantages/drawbacks.
  </li>
  <li>
   Effective team player and works well within a team and contributes effectively to the success of those interactions regularly.
  </li>
  <li>
   Prior experience or deep knowledge of Performance Marketing and/or Brand Marketing will be highly preferred.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Desired Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   BA/BS in Mathematics, CS, Statistics, Economics, Business, or other related fields.
  </li>
  <li>
   5+ years hands-on work experience in data analysis, with a focus on onsite web analytics, A/B testing, machine learning and report automation.
  </li>
  <li>
   Skilled in database query tools utilizing SQL, and Hadoop experience is a plus.
  </li>
  <li>
   Good Excel and PowerPoint skills, proficiency with statistical analysis tools such as Python or R.
  </li>
  <li>
   Knowledge of AI tools and techniques, such as Gemini, GPT, LLMs etc.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay.
 <br/>
 <br/>
 eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
 <br/>
 <br/>
 The eBay Jobs website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information.
</div>


Data Science Analyst, Paid Marketing

Atlassian

<div>Overview:
<p><b>
Working at Atlassian</b></p><p></p><p>
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.</p><p></p><p><b>
Your future team</b></p><p><br>
The Data Science and Analytics team influence product innovation with data insights, leveraging machine learning, experimentation, and deep analytics to build smarter, data-driven products. From uncovering user insights to optimizing features, data is turned into strategic advantages that shape and scale impactful product experiences for our customers. We&rsquo;re passionate about helping our engineering teams with speed and efficiencies in their development processes.</p>
Responsibilities:
<ul><li><p>
Collaborate on a variety of product and business problems with a diverse set of cross-functional partners and become a trusted strategic partner through the structure and clarity of your work</p></li><li><p>
Apply technical expertise with quantitative analysis, experimentation, and the presentation of data to develop strategies for our business and help solve the business's biggest challenges</p></li><li><p>
Focus on developing hypotheses through analytical approaches, different methodologies, frameworks, and technical approaches to test them</p></li><li><p>
Define, understand, and test opportunities to improve the products and influence roadmaps through insights and recommendations</p></li><li><p>
Partner with cross-functional teams to inform, influence, and execute strategy decisions</p></li><li><p>
Identify and measure the success of product efforts through forecasting and monitoring of key product metrics to understand trends</p></li></ul><p></p>
Qualifications:
<ul><li><p>
4+ years of Experience in Data Science or related fields</p></li><li><p>
Bachelor&rsquo;s degree or equivalent in a STEM field (e.g. statistics, mathematics, physics, econometrics, or computer science)</p></li><li><p>
Proficiency in SQL is mandatory. Another data manipulation programming language e.g. Python, R is a good to have</p></li><li><p>
Experience telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker)</p></li><li><p>
Working knowledge of basic statistical concepts (e.g. regressions, A/B tests, clustering, probability) and how to apply them to practical questions</p></li><li><p>
Experience applying your analytics skills to projects which have had impact on business strategy and performance</p></li><li><p>
An understanding of the SaaS business model and important metrics</p></li></ul><p></p><p><b>
Benefits &amp; Perks</b></p><p></p><p>
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit <b>go.atlassian.com/perksandbenefits</b><b>.</b></p><p></p><p>
To learn more about our culture and hiring process, visit <b>go.atlassian.com/crh</b><b>.</b></p></div>

Data Scientist

Google

<div><h3 class="jobSectionHeader"><b>Minimum qualifications:</b></h3><ul>
<li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) (or 5 years work experience with a Master's degree).</li></ul><br>
<h3 class="jobSectionHeader"><b>
Preferred qualifications:</b></h3><ul>
<li>Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.<br>
</li>
<li>8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL).</li>
<li>Experience in product analytics within Payments, e-commerce, or financial services.</li>
<li>Ability to manage and organize work sprints for themselves and a team for analysts, align/communicate/agree the same with executive management.</li>
<li>Ability to lead in unstructured environments, with a bias for action and sharp attention to detail.</li>
<li>Excellent cross-functional collaboration skills, with experience influencing executive stakeholders through regular communication.</li>
</ul><div><h2 class="jobSectionHeader"><b>About the job</b></h2><p>
Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.</p>
<p>
In this role, you will shape Payments products and solutions, helping the leaders make data-driven decisions. You will lead a critical part of Payments routing infra, Smart Router, that utilizes Machine Learning (ML) and Artificial Learning (AI) to process Billions of first-party transactions across Play, YouTube, Ads many other first-parties. You will drive analytics for FOPs optimization, building on success metric, driving insights, global launches to optimize success metrics while also reducing cost. You will also play a critical role in the interactions on B2C analytics with Play and YouTube to optimize Buyflows, Purchase Readiness, Conversion and UI on these critical Google products.</p><p>
Whether it is paying online with Autofill, using tap and pay in stores, or using the Google Pay app, the Payments team at Google is focused on making payments simple, seamless, and secure. In addition to consumer payment technologies, the Payments team also powers the money movement between Google and its consumers and businesses.</p></div><div><h2 class="jobSectionHeader"><b>
Responsibilities</b></h2><ul>
<li>Identify and solve ambiguous, high-stakes problems, transforming data into clear, actionable insights that directly influence leadership decisions (VPs and Directors).<br>
</li>
<li>Lead complex projects that combine investigative with organizational strategy, deliver clear and actionable insights that inform business decisions. Become a strategic thought partner to stakeholders across product, engineering, and executive leadership, influencing key decisions at multiple levels.</li>
<li>Elevate the role of data science within the organization by maintaining high standards of technical excellence, clear communication, and impactful stakeholder influence. Contribute to the development and alignment of team OKRs and analytics strategy to ensure they support broader product and business goals across the Payments organization.</li>
<li>Collaborate cross-functionally with product, engineering, and operations teams to define key metrics and support data-driven decision-making. Advocate best practices in data science, ensure the adoption of scalable, efficient methodologies across projects.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Senior Product Data Scientist, Payments

IT Institute

<p>Aptech Learning is a World-Renowned IT Vocational and Technical Educational Institute providing globally recognized IT training and professional development. We are seeking young, dynamic professionals to join our faculty team as a <b>Data Analyst, AI &amp; ML Trainer</b> for our Shahra-e-faisal Center. (Full-Time).</p><p>Key Responsibilities:</p><ul><li>AI Primer</li><li>AI Applications of NLP</li><li>AI &amp; ML Mastery with Python</li><li>Applied Machine Learning using Python</li><li>Experience in creating lesson plans, assignments, and practical exercises</li><li>Ability to assess student performance and provide constructive feedback</li></ul><p>Qualifications &amp; Experience:</p><p>Bachelor&rsquo;s or Master&rsquo;s degree / Diploma in Software Engineering.<br/>Strong communication, presentation, and interpersonal skills.<br/>Prior teaching or relevant industry experience will be considered an advantage.<br/>Working Days: Monday to Saturday</p><p>Job Type: Full-time</p><p>Pay: Rs40,000.00 - Rs80,000.00 per month</p><p>Work Location: In person</p>

Data Analyst, AI and ML Trainer

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