project director

general lab in charge

lab technician-civil

lab technicianassistant

laboratory lead

lead scientist lfa

JBAndrews

<div>
 
 This is a senior role in the core scientific team, responsible for the development and optimization of lateral flow immunoassays (LFAs) and other diagnostic tools. The ideal candidate will design and develop new and cutting edge quantitative Lateral Flow assays. They will guide project teams, design experimental strategies, oversee assay validation, and drive cross-functional integration with hardware and software engineering.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead design, development, and optimization of lateral flow immunoassays, from conceptualization to validation
 </li>
 <li>
 Drive assay architecture decisions including selection of biomarker targets, materials, control systems, and analytical thresholds
 </li>
 <li>
 Design, plan, and supervise rigorous experiments and statistical validations using clinical and control samples
 </li>
 <li>
 Lead a team of junior scientists and research associates; mentor in experimental methods and data interpretation
 </li>
 <li>
 Work closely with cross-functional teams (hardware, software, regulatory, sourcing) to define system requirements and ensure integration with detection platforms
 </li>
 <li>
 Oversee sourcing of biological reagents and manage collaborations with external partners for sample access and assay customization
 </li>
 <li>
 Prepare detailed documentation, research protocols, validation reports, and contribute to patent/IP generation
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications and Skills
 
 
 <ul>
 <li>
 Master&rsquo;s degree or PhD in Life Sciences, Biotechnology, Biochemistry, or a related field with 3&ndash;6 years of relevant industry experience; AND
 </li>
 <li>
 5+ years of direct experience in assay development and diagnostic product R&amp;D
 </li>
 <li>
 Proven track record in development of
 
 clinically validated, large scale manufactured
 
 lateral flow assays; may not have been responsible for translation to manufacture, but the LFAs should have reached commercial utility at scale.
 </li>
 <li>
 Hands-on experience with antibody conjugation, protein purification, assay troubleshooting, and signal optimization
 </li>
 <li>
 Deep understanding of assay validation processes including specificity, sensitivity, precision, and reproducibility
 </li>
 <li>
 Strong analytical and documentation skills with a demonstrated ability to interpret complex biological data. Proficiency in statistical tools (e.g., Excel, GraphPad, R, or Python) for data modeling and experiment design
 </li>
 <li>
 Ability to manage cross-functional R&amp;D projects in a fast-paced, collaborative startup environment
 </li>
 </ul>
 
 
</div>

Lead Scientist - LFA

izil Beauty

<div>
 
 We are looking for a talented and analytical
 
 NPD Senior Scientist
 
 to join our growing team. As the NPD Senior Scientist, you will work with autonomy and be guided by the NPD manager to develop products, perform cost improvement projects, lead product troubleshooting, improve product performance and stability, and develop innovative products. The successful candidate will have in-depth knowledge of cosmetic formulations and product lifecycle knowledge, Microsoft tools and AI to assist in the product development phase, lab experiment tools (DOE), a deep understanding of project management, scale-up knowledge, and chemical understanding of raw materials and functions.
 
 
 
 
 
 
 Job Description:
 
 
 
 1. Lead formulation development activities with up-to-date knowledge of emerging market trends, diverse product aesthetics and textures, advanced technologies, and innovative cosmetic ingredients, ensuring compliance with Halal, COSMOS, and GSO regulations.
 
 
 2. Demonstrate strong formulation expertise and ingredient selection knowledge in accordance with Halal, COSMOS, and GSO guidelines, balancing performance, safety, sustainability, and cost.
 
 
 3. Formulate and develop cosmetic and personal care products across skincare, haircare, makeup, and toiletries, including research, evaluation, and selection of raw materials and actives based on efficacy, safety, and cost-effectiveness.
 
 
 4. Drive product innovation by supporting marketing claims, conducting product safety assessments, substantiating claims, developing differentiated concepts, and executing cost-effective formulation optimization and reformulation strategies.
 
 
 5. Possess in-depth knowledge of stability studies, product performance evaluation, consumer study and protocol preparation and compliance requirements under GSO cosmetic regulations.
 
 
 6. Lead formulation scale-up activities from laboratory to pilot and full-scale manufacturing, ensuring product quality and consistency.
 
 
 
 
 
 
 Requirements:
 
 
 
 ● Bachelor's degree in chemistry, Cosmetics, Pharmaceutical, or a related area (to be evaluated during CV selection).
 
 
 ● A minimum of 6 to 8 years&rsquo; experience in a similar role in beauty care.
 
 
 ● Advanced knowledge in statistics and lab experiment methodologies (DOE).
 
 
 ● Good analytical view, verbal and written communication skills, discipline, and customer focus.
 
 
 ● Advanced knowledge in project management tools.
 
 
 ● Effective communication and teamwork skills.
 
 
 ● Advance understanding of Microsoft tools.
 
 
 ● Deep chemical understanding of products, raw materials, specifications
 
</div>

NPD Senior Scientist

Get Offers

<div>
 <ul>
 <li>
 
 Title:
 
 Mass Spectomery Scientist (Remote)
 </li>
 <li>
 
 Engagement:
 
 Hourly contract (independent contractor)
 </li>
 <li>
 
 Location:
 
 Remote
 </li>
 <li>
 
 Compensation:
 
 $100 &ndash; $300 per hour
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Job Summary
 
 
 
 Join our customer&rsquo;s innovative team as a
 
 Mass Spectrometry Scientist
 
 , where you will drive scientific discovery through advanced mass spectrometry techniques in a flexible remote setting. This role offers the opportunity to contribute deep analytical expertise in a collaborative environment while advancing high-impact research initiatives. You will translate complex analytical data into clear, actionable insights for multidisciplinary stakeholders.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop, optimize, and validate mass spectrometry (MS) methods for qualitative and quantitative analysis of complex biological, chemical, or environmental samples.
 </li>
 <li>
 Operate, maintain, calibrate, and troubleshoot mass spectrometry instrumentation and associated laboratory systems.
 </li>
 <li>
 Perform rigorous data interpretation and statistical analysis to ensure scientific accuracy and reproducibility.
 </li>
 <li>
 Collaborate with R&amp;D, quality, regulatory, and cross-functional teams to support project objectives and timelines.
 </li>
 <li>
 Prepare detailed technical documentation, experimental protocols, validation reports, and scientific summaries.
 </li>
 <li>
 Stay current with advancements in MS technologies, ionization techniques, and analytical workflows.
 </li>
 <li>
 Present findings clearly through written reports, publications, and stakeholder presentations.
 </li>
 </ul>
 
 
 
 
 
 Required Skills and Qualifications
 
 
 <ul>
 <li>
 Advanced hands-on expertise in mass spectrometry techniques (e.g., LC-MS/MS, GC-MS, MALDI-TOF, HRMS).
 </li>
 <li>
 Strong background in analytical method development, validation, and troubleshooting.
 </li>
 <li>
 Ability to interpret complex datasets with high scientific rigor.
 </li>
 <li>
 Proficiency in MS data processing and analysis software.
 </li>
 <li>
 Excellent written and verbal communication skills with strong attention to detail.
 </li>
 <li>
 Experience working collaboratively in multidisciplinary scientific environments.
 </li>
 <li>
 Ability to manage multiple priorities effectively in a remote work setting.
 </li>
 <li>
 MS or PhD in Chemistry, Biochemistry, Analytical Science, Pharmaceutical Sciences, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with industry-standard MS software (e.g., Xcalibur, MassLynx, Analyst, or similar platforms).
 </li>
 <li>
 Experience in regulated environments (GLP, GMP, ISO standards).
 </li>
 <li>
 Publication record or conference presentation experience.
 </li>
 <li>
 Background in pharmaceutical, biotech, proteomics, metabolomics, or environmental analysis applications.
 </li>
 </ul>
 
 
 
 
 
 APPLY NOW !
 
 
</div>

Mass Spectomery Scientist (Remote)

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 As a Staff Data Scientist I &ndash; Matching, you will own the end-to-end matching and dispatch architecture for Careem&rsquo;s Food and Groceries verticals. You will design and implement real-time assignment systems that optimize cost, SLA compliance, and marketplace efficiency at scale.
 
 
 This role sits at the core of the marketplace engine solving complex, multi-objective optimization problems under uncertainty. You will build systems that dynamically match orders to captains, optimize batching and pooling decisions, and continuously re-optimize as new information arrives. You will operate as a senior technical IC, leading architecture decisions, mentoring other data scientists, and setting optimization standards across the domain.
 
 
 
 
 What You'll Do
 
 
 
 
 
 1. Matching &amp; Dispatch Architecture Ownership
 
 
 
 <ul>
 <li>
 Design and own the end-to-end matching and dispatch systems for Food &amp; Groceries.
 </li>
 <li>
 Architect scalable assignment frameworks incorporating:
 </li>
 <ul>
 <li>
 Static and dynamic assignment
 </li>
 <li>
 Online matching under uncertainty
 </li>
 <li>
 Batch and pooling optimization
 </li>
 <li>
 Continuous re-optimization with dynamic events
 </li>
 </ul>
 <li>
 Establish robust optimization standards and best practices across the organization.
 
 
 </li>
 </ul>
 
 2. Multi-Objective Optimization &amp; Algorithm Development
 
 
 
 <ul>
 <li>
 Formulate and implement multi-objective optimization models balancing:
 </li>
 <ul>
 <li>
 Cost minimization
 </li>
 <li>
 SLA compliance
 </li>
 <li>
 Marketplace efficiency
 </li>
 </ul>
 <li>
 Develop and deploy:
 </li>
 <ul>
 <li>
 Min-cost flow and assignment models
 </li>
 <li>
 Graph-based optimization frameworks
 </li>
 <li>
 Custom solvers and OR-Tools based solutions
 </li>
 </ul>
 <li>
 Incorporate stochastic elements and uncertainty-aware decision-making into assignment policies.
 </li>
 <li>
 Continuously refine matching quality under high-scale marketplace conditions.
 
 
 </li>
 </ul>
 
 3. Real-Time Systems &amp; Production Delivery
 
 
 
 <ul>
 <li>
 Build production-grade real-time matching systems using Python, Spark, and Trino.
 </li>
 <li>
 Design scalable pipelines capable of handling large-scale, high-throughput marketplace events.
 </li>
 <li>
 Collaborate with Engineering and Platform teams to ensure reliable model serving and system performance.
 </li>
 <li>
 Lead performance monitoring, diagnostics, and system optimization.
 
 
 </li>
 </ul>
 
 4. Experimentation &amp; Impact Measurement
 
 
 
 <ul>
 <li>
 Define evaluation metrics aligned with marketplace and operational objectives.
 </li>
 <li>
 Design and run controlled experiments to quantify matching improvements.
 </li>
 <li>
 Analyze system trade-offs and communicate clear, data-driven recommendations to Product and Operations stakeholders.
 </li>
 <li>
 Ensure decisions translate into measurable improvements in efficiency and SLA performance.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 6&ndash;8+ years of experience in Applied Machine Learning, Optimization, or Data Science.
 </li>
 <li>
 Advanced degree in Computer Science, Engineering, Operations Research, Mathematics, or a related quantitative field.
 </li>
 <li>
 Strong expertise in:
 </li>
 <ul>
 <li>
 Optimization and assignment algorithms
 </li>
 <li>
 Graph modeling and min-cost flow problems
 </li>
 <li>
 Multi-objective optimization
 </li>
 <li>
 Dynamic and online decision systems
 </li>
 </ul>
 <li>
 Hands-on experience with OR-Tools or custom optimization solvers.
 </li>
 <li>
 Proficiency in Python, SQL, Spark, and distributed data systems.
 </li>
 <li>
 Experience building real-time or near-real-time decision systems.
 </li>
 <li>
 Strong understanding of experimentation and performance evaluation in marketplace systems.
 </li>
 <li>
 Excellent communication skills with the ability to explain algorithmic trade-offs in business terms.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;ll provide you
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Staff Data Scientist I - Matching

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
 </li>
 <li>
 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
 </li>
 <li>
 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
 </li>
 <li>
 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
 </li>
 </ul>
 
 
 What You'll Need
 
 
 
 
 <ul>
 <li>
 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
 </li>
 <li>
 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
 </li>
 <li>
 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
 </li>
 <li>
 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
 </li>
 <li>
 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
 </li>
 </ul>
 
 
 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
 <ul>
 <li>
 Work and learn from great minds by joining a community of inspiring colleagues.
 </li>
 <li>
 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
 </li>
 <li>
 Explore new opportunities to learn and grow every day.
 </li>
 <li>
 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
 </li>
 <li>
 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
 </li>
 </ul>
</div>

Senior Data Scientist II - Supply Chain

talabat

<div>
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 Job Description
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Technical Experience
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelor's degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 </li>
 </ul>
</div>

Staff Data Scientist, Algorithms, ML

Kanoony.com

Marketing LeadYou will be employed in the position of Marketing Lead. In relation to your duties, you will report to the Managing Director or such other persons as the management may deem appropriate from time to time.At the position of Marketing Lead, you shall perform the following duties which include, but are not limited to:Marketing Strategy &amp; Planning&middot; Develop and implement a practical annual marketing plan aligned with company growth targets.&middot; Manage the marketing budget and prioritize high-ROI activities.&middot; Track and report on marketing performance monthly.Digital Marketing &amp; Lead Generation&middot; Initialize, manage and optimize Google Ads, LinkedIn Ads, and Meta campaigns.&middot; Improve inbound lead generation and lead quality.&middot; Monitor cost per lead, conversion rates, and campaign ROI.SEO &amp; Website Management&middot; Work closely with SEO agency and ensure targets are met.&middot; Conduct keyword research relevant to UAE corporate services.&middot; Upload blogs and ensure website content is updated regularly.&middot; Optimize landing pages to improve conversion rates.Social Media &amp; Content&middot; Manage all the digital platforms.&middot; Create and schedule consistent posts.&middot; Develop blogs, newsletters, and basic marketing materials.&middot; Maintain consistent and professional brand messaging.CRM &amp; Lead Management (Zoho) &middot; Ensure all inbound leads (website, ads, social media, referrals) are properly captured in Zoho CRM. &middot; Set up and monitor lead sources and tracking.&middot; Coordinate CRM integration with website forms and marketing tools.&middot; Assign leads to management or sales team as applicable.&middot; Monitor lead conversion rates and provide reporting insights.&middot; Maintain CRM data accuracy related to marketing activities.Agency &amp; Vendor Coordination&middot; Liaise with external marketing agencies and service providers.&middot; Set clear deliverables and monitor performance.&middot; Review and approve content and campaigns before launch.Reporting &amp; Performance Tracking&middot; Monitor website traffic, organic rankings, and digital campaign performance.&middot; Provide clear monthly reports with insights and recommendations.&middot; Continuously improve marketing performance based on data.Requirements<ul><li>5+ years of experience in marketing, Marketing degree, with strong focus on digital marketing and lead generation.</li><li>Proven experience managing Google Ads, LinkedIn Ads, and Meta campaigns.</li><li>Solid understanding of SEO, website optimization, and content marketing.</li><li>Experience with CRM systems (preferably Zoho CRM) and lead tracking.</li><li>Ability to manage social media platforms, blogs, newsletters, and marketing materials.</li><li>Strong analytical skills with experience tracking campaign performance, cost per lead, and conversion rates.</li><li>Experience in B2B or professional services marketing is a plus.</li></ul>Job Type: Full-time

Marketing Lead

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