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associate data scientist

TenX

<div>
 
 
 JOB SUMMARY:
 
 
 
 TenX is expanding their Data Science team, and is hiring a technical and customer facing associate data scientist to manage end-to-end client data science projects. An Ideal candidate will have real-world hands-on experience working with data and applying machine learning algorithms across a breadth of modern technology platforms. He/She is customer focused and practical, enjoy rapid and changing projects and have strong analytical skills, technical aptitude, communication skills and a collaborative work style.
 
 
 
 
 
 
 JOB DESCRIPTION:
 
 
 <ul>
 <li>
 Usage of machine learning tools and statistical techniques to develop appropriate analytic solutions.
 </li>
 <li>
 Better understand company needs and devise possible solutions by collaborating with product management and engineering departments
 </li>
 <li>
 Communicate results and statistical concepts to key business leaders
 </li>
 <li>
 Envisioning Data Points (Features) and building Aggregate Data Set (ADS)
 </li>
 <li>
 Use appropriate databases and project designs to optimize joint development efforts
 </li>
 <li>
 Develop custom data models and algorithms
 </li>
 <li>
 Build processes and tools to help monitor and analyze performance and data accuracy
 </li>
 <li>
 Develop company A/B testing framework and test model quality.
 </li>
 <li>
 Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
 </li>
 <li>
 Analyze data for trends and patterns, and Interpret data with a clear objective in mind
 </li>
 <li>
 Implement analytical models into production by collaborating with software developers and machine learning engineers
 </li>
 <li>
 Guiding team through problem definition, issue identification and workplan development using problem solving principles and past experience.
 </li>
 </ul>
 
 
 
 
 
 Qualification:
 
 
 <ul>
 <li>
 BS in Computer Science, BIT, BBIT, or a related field
 </li>
 <li>
 At least
 
 2-3 years
 
 of relevant experience
 </li>
 <li>
 Familiarity with Business Intelligence, Data Warehousing, Cross-industry knowledge (Financial, Insurance, Sports, Healthcare)
 </li>
 <li>
 Strong proficiency in SQL and Python programming, Data Wrangling, Data Visualization &amp; Exploration
 </li>
 </ul>
 
 
 
 
 
 Location
 
 : Lahore
 
</div>

Associate Data Scientist

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>
<h3 class="jobSectionHeader">
What You'll Do:</h3>

As an entry-level data analyst in the AI team, you will perform a variety of critical tasks to support the AI team in developing, evaluating, hardening Motive&rsquo;s AI products:
<ul>
<li>Data Exploration &amp; Visualization: Investigating data to identify trends, anomalies, or patterns using tools like SQL, Tableau, Power BI, or Python libraries like Matplotlib or Pandas.</li>
<li>Performance Monitoring: Analyzing the performance metrics of AI models such as accuracy, precision, recall, F1 score, etc., and identifying areas for improvement.</li>
<li>Performance Hardening: Provide quantitative and qualitative insights for feature improvement, contributions in model development process through data or design.</li>
<li>A/B Testing &amp; Experimentation: Conducting experiments to test the efficacy of AI models or changes to AI systems, using A/B testing or other experimental designs.</li>
<li>Root-Cause Problem Solving: Carry out failure investigation of AI events including but not limited to recalling and reviewing events where AI algorithms fail in the field and then compare to backtest (test infra) results in consultation with model development team and jointly layout directions for feature improvements.</li>
<li>Reporting: Creating dashboards and reports to communicate the results of data analyses to business stakeholders.</li>
<li>Cross-functional Collaboration: Participate in cross team coordination with the Data Annotation, QA, and Product teams.</li>
</ul><h3 class="jobSectionHeader">What We're Looking For:</h3>
<ul><li>Bachelor&rsquo;s Degree in Computer Science, Electrical Engineering, or related field</li>
<li>Experience in SQL &amp; Redash / Snowflake, writing complex queries</li>
<li>Experience in Python and data analysis &amp; visualization tools (pandas | plotly | seaborn)</li>
<li>Strong problem-solving &amp; communication skills</li>
<li>Demonstrated experience in Computer Vision or Machine Learning is a strong plus (FYP, Coursework, Freelance or side project or industrial experience)</li>
</ul></div><div>
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives. 

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.

#LI-Remote</div></div>

Associate Data Scientist New

ibex

<div>
 We are looking for a proactive and analytical
 
 Data Scientist
 
 to join our growing team. The ideal candidate will be deeply passionate about working with data, possess a strong foundation in statistical analysis and machine learning, and demonstrate the ability to derive actionable insights from complex datasets. This role requires experience in data wrangling, exploratory data analysis (EDA), and hands-on implementation of data science techniques, including Natural Language Processing (NLP).
 
 
 
 Responsibilities
 
 
 
 <ul>
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 Collect, clean, and organize structured and unstructured data from diverse sources.
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 Ensure data accuracy, consistency, and readiness for analysis.
 </li>
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 Perform thorough EDA to understand data distributions, relationships, and anomalies.
 </li>
 <li>
 Use visualization tools (e.g., Matplotlib, Seaborn, Pandas) to communicate findings.
 </li>
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 Work closely with business teams to identify trends and patterns that guide decisions.
 </li>
 <li>
 Handle missing data, outliers, and normalization techniques effectively.
 </li>
 <li>
 Transform raw data into features suitable for modeling and insights.
 </li>
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 Automate and optimize data preparation pipelines.
 </li>
 <li>
 Develop NLP pipelines for text classification, sentiment analysis, named entity recognition, and more.
 </li>
 <li>
 Work with tools such as NLTK, Hugging Face Transformers, and BERT-based models.
 </li>
 <li>
 Analyze and process unstructured text data for business use cases.
 </li>
 <li>
 Translate complex data problems into clear, actionable insights.
 </li>
 <li>
 Proactively identify opportunities for data-driven improvements across departments.
 </li>
 <li>
 Conduct root cause analysis and support hypothesis-driven investigations.
 </li>
 <li>
 Work closely with cross-functional teams including data engineers, analysts, and product stakeholders.
 </li>
 <li>
 Exhibit a high level of accountability, ownership, and willingness to support teammates.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in a data science role.
 </li>
 <li>
 Proficiency in Python (NumPy, Pandas, Scikit-learn), SQL and MongoDB
 </li>
 <li>
 Hands-on experience with NLP frameworks such as NLTK, or Hugging Face.
 </li>
 <li>
 Solid understanding of machine learning algorithms and data modeling techniques.
 </li>
 <li>
 Strong data visualization and storytelling skills.
 </li>
 <li>
 Excellent problem-solving and critical thinking abilities.
 </li>
 <li>
 Strong communication skills and a collaborative mindset.
 </li>
 </ul>
</div>

Data Scientist, Tech

Safoora Publication

<ul><li>Evaluation of Biology notes.</li><li>Proof Reading of Computer Notes.</li><li>As a book manager, assist in writing new books/notes.</li><li>Assist in preparation of &quot;teacher teaching tips&quot;</li><li>Assist in Preparation of entry test notes.</li><li>Co curricular Development that include lesson plans.</li><li>New look book Development.</li><li>Enrichment of data bank of admission test software.</li><li>Coordination of paper and time management.</li><li>Administrative responsibilities of research associate.</li><li>Miscellaneous task assigned by head of research section and principal R &amp; D.</li></ul>Requirement:<ul><li>3 to 5 Years of Experience as a Research Associate.</li><li>Masters or M.Phil Degree in Biology.</li><li>Content development, Textbook Analysis, Teaching and Research Skills.</li></ul>Job Type: Full-timeWork Location: In person

Research Associate (Biology)

Unique Group of Institutions

<ul><li>Evaluation of Biology notes.</li><li>Proof Reading of Computer Notes.</li><li>As a book manager, assist in writing new books/notes.</li><li>Assist in preparation of &quot;teacher teaching tips&quot;</li><li>Assist in Preparation of entry test notes.</li><li>Co curricular Development that include lesson plans.</li><li>New look book Development.</li><li>Enrichment of data bank of admission test software.</li><li>Coordination of paper and time management.</li><li>Administrative responsibilities of research associate.</li><li>Miscellaneous task assigned by head of research section and principal R &amp; D.</li></ul>Requirement:<ul><li>3 to 5 Years of Experience as a Research Associate.</li><li>Masters or M.Phil Degree in Biology.</li><li>Content development, Textbook Analysis, Teaching and Research Skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>working: 3 years (Preferred)</li></ul>Work Location: In person

Research Associate Biology

RT WEB Solutions

<div>
 
 
 RT WEB Solutions specializes in transforming digital presence into measurable growth by scaling businesses, strengthening their online identity, and reaching precise target audiences. Equipped with talented strategists, designers, and digital experts, the company delivers data-driven solutions aligned with client goals. From enhancing visibility to boosting conversions, RT WEB Solutions crafts impactful strategies. Expertise spans across Web Development, Web Design, SEO, Local SEO, Google &amp; Facebook Ads, Content Writing, Video Editing, and Graphic Design to help brands thrive in the digital landscape.
 
 
 
 
 
 
 Role Description
 
 
 
 This is a full-time on-site role for an SEO Off-Page Associate, based in Lahore District. The role involves executing off-page SEO strategies including link-building initiatives, performing keyword research, and conducting comprehensive SEO audits. The SEO Off-Page Associate will also monitor and analyze web analytics to optimize website performance and support overall SEO efforts.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Proficient in Keyword Research and SEO Audits
 </li>
 <li>
 Experience with Link Building strategies
 </li>
 <li>
 Strong understanding of Web Analytics tools and techniques
 </li>
 <li>
 Familiarity with On-Page SEO principles
 </li>
 <li>
 Ability to interpret data and translate insights into actionable strategies
 </li>
 <li>
 Excellent problem-solving and analytical skills
 </li>
 <li>
 Strong organizational and time-management abilities
 </li>
 <li>
 Bachelor's degree in Marketing, IT, or a related field is preferred
 </li>
 </ul>
</div>

SEO off page Associate

Cloudelligent

<div>Position Title: Sr. AWS Data Engineer 
Job Timings: 8:00 AM &ndash; 5:00 PM CST (6:00 PM- 3:00 AM PKT) 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups &amp; SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 
 
Job Objective 
 
We are seeking an experienced Sr. Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud. 
 
Responsibilities<ul><li>
Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.</li><li>
Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.</li><li>
Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.</li><li>
Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.</li><li>
Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.</li><li>
Monitor and troubleshoot data issues, ensuring availability, security, and compliance.</li><li>
Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.</li><li>
Ensure data security, encryption, and compliance with industry best practices and internal policies.</li><li>
Maintain comprehensive documentation on data architecture, processes, and procedures.</li><li>
Stay up to date with emerging AWS features, data engineering tools, and industry best practices.</li></ul> 

Requirements<ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>
5+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.</li><li>
Strong experience with AWS data services such as RDS, Aurora, and DMS.</li><li>
Proficient in performance tuning, indexing strategies, partitioning, and query optimization.</li><li>
Strong scripting and automation experience using Python, Bash, or similar tools.</li><li>
Experience with infrastructure as code tools like Terraform or CloudFormation.</li><li>
Solid understanding of backup strategies, monitoring tools, and security best practices.</li><li>
Familiarity with multi-account AWS environments and cross-region replication.</li><li>
Excellent communication and problem-solving skills.</li></ul> 

Highly Desirable<ul><li>
AWS Certification (e.g., AWS Certified Data Engineer &ndash; Associate, AWS Certified Solutions Architect &ndash; Associate).</li><li>
Experience with large-scale on-prem to AWS data migrations.</li><li>
Familiarity with data governance, compliance, and auditing tools.</li><li>
Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.</li></ul>
tkOFySDYmB</div>

Sr. AWS Data Engineer

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