science

Science Oasis International School

<div>
 <p>
  <strong>
   Now Hiring: High School Science Teacher &ndash; Girls&rsquo; Section
  </strong>
 </p>
 <p>
  <strong>
   Science Oasis International School
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  📍
  <strong>
   Location:
  </strong>
  Riyadh
 </p>
 <p>
  <br/>
 </p>
 <p>
  Science Oasis International Schools is seeking a dedicated and qualified
  <strong>
   High School Science Teacher
  </strong>
  to join our team in the
  <strong>
   Girls&rsquo; Section
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔹
  <strong>
   Position:
  </strong>
  High School Science Teacher
 </p>
 <p>
  <br/>
 </p>
 <p>
  ✅
  <strong>
   Requirements:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Science Education or a related field (Chemistry, Biology, or Physics)
  </li>
  <li>
   Minimum of 2 years of teaching experience at the high school level
  </li>
  <li>
   English speaker
  </li>
  <li>
   Passionate about inspiring students in scientific inquiry and critical thinking
  </li>
  <li>
   Strong classroom management, communication, and organizational skills
  </li>
  <li>
   Experience with international curricula is preferred
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🛠️
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Plan and deliver engaging and inquiry-based science lessons
  </li>
  <li>
   Foster a supportive and stimulating learning environment
  </li>
  <li>
   Assess and monitor student progress effectively
  </li>
  <li>
   Collaborate with colleagues to enhance the science program
  </li>
  <li>
   Communicate regularly with parents and participate in school activities and professional development
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  🔗
  <strong>
   Join a school that values innovation, academic excellence, and a collaborative learning community. We look forward to welcoming you to our team!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  #Hiring #ScienceTeacher #HighSchool #InternationalSchools #RiyadhJobs #ScienceOasis #GirlsSection #TeachingJobs #STEMEducation
 </p>
</div>


High School Science Teacher

Abbott

<div><p><b>Job Title</b></p><p><b>
Medical Science Liaison</b></p><p><b>
Working at Abbott</b><br>
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You&rsquo;ll also have access to:</p><ul><li>
Career development with an international company where you can grow the career you dream of.</li><li>
Insert key local benefits that differentiate us in the market.</li><li>
A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.</li><li>
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.</li></ul><p><b>
The Opportunity</b></p><p>
This position works out of our Riyadh. field. location in the Abbott Diabetes care division.</p><p><b>
Divisional Information</b></p><p>
Abbott Diabetes care (ADC)</p><p>
We&rsquo;re focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We&rsquo;re revolutionizing the way people monitor their glucose levels with our new sensing technology.</p><p><b>
What You&rsquo;ll Work On</b></p><ul><li>
The MSL is the medical / scientific voice of expertise for Abbott Diabetes Care (ADC) products and therapeutic areas. This field-based role focuses on medical &amp; scientific engagement with ADC stakeholders. Provides medical / scientific expert evidence / guidance to key customers for ADC products &amp; relevant therapeutic areas, including scientific exchange &amp; professional development with key thought leaders / external experts and provides medical affairs support to the commercial team.</li></ul><p></p><ul><li>
The MSL serves to support the scientific credibility of ADC with established and emerging national &amp; regional thoughts leaders, by supporting scientific dialogue and collaboration in areas of research, scientific publications, and medical &amp; scientific exchange, including unsolicited requests for medical information. They also interface regularly with appropriate commercial team members. They maintain a high level of knowledge to ensure credible dissemination of scientific information and dialogue with thoughts leaders, healthcare providers and healthcare organizations.</li></ul><p></p><ul><li>
Provide scientific and medical leadership to ensure professional and credible relationships with thought leaders and external experts of strategic importance to ADC.</li></ul><p></p><ul><li>
Ensure a strong medical and scientific presence for ADC in key academic centers by facilitation of research and educational initiatives, while supporting requests for medical and scientific information on products or areas of therapeutic interest to ADC.</li></ul><p></p><ul><li>
Work collaboratively and cross-functionally with other in-field members while retaining functional independence.</li></ul><p></p><ul><li>
Serve as a point of contact within the medical and scientific affairs team for thought leaders and external experts within an assigned geographic area in order to satisfy their needs for scientific knowledge in a therapeutic area and, when requested, relevant ADC products, to support their safe, effective, and appropriate use.</li></ul><p></p><ul><li>
Deliver credible presentations on scientific matters to health care providers, individually or in groups (meetings, clinical sessions, etc.), where requested, with the focus on Tier 1 and 2 thought leaders.</li></ul><p></p><ul><li>
Participate in the selection process to identify appropriately qualified thought leaders, ADC would wish to engage in collaborative efforts &ndash; such as educational and advisory roles (Advisory Boards, Congresses, Symposia, etc.) while ensuring a high level of scientific or educational integrity in these collaborative efforts.</li></ul><p></p><ul><li>
Attend relevant scientific meetings and conferences. Collaborate with internal stakeholders to develop summaries of key data and other scientifically relevant information to inform ADC strategic priorities and initiatives. Staff the Medical Affairs area of the exhibit booth at national scientific meetings and congresses</li></ul><p></p><ul><li>
Provide key thought leaders / external experts with scientific and technical support for publications of scientific or medical interest.</li></ul><p></p><ul><li>
Ensure that all activities and interactions are conducted with due regard to all applicable local and national laws, regulations, guidelines, codes of conduct, company policies and accepted standards of best practice.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor&rsquo;s Degree in a scientific /medical field, preferred master&rsquo;s degree in a scientific /medical field.</li><li>
Expertise in metabolic disorder/diabetes highly preferred.</li></ul><p><b>
Language:
</b></p><ul><li>English</li><li>
Arabic</li></ul><p><b>
Minimum Experience Required:</b></p><ul><li>
2-3 of relevant experience.</li></ul><p><b>
Minimum Skills Required:</b></p><ul><li>
Demonstrated experience in KOL, HCP or medical community management.</li><li>
Ability to organize and plan activities.</li></ul><p></p><p><b>
Apply Now</b></p><p>
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.</p><p>
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.</p></div>

Medical Science Liaison

SABIS Network

<div><div><div><div><b>Job Number</b></div>
<p>SAUDIARABIA00103</p>
<div><b>Job Type</b></div>
<p>Teaching</p>
<div><b>School / Entity Name</b></div>
<p>Abdulaziz International School, Al Wadi, Riyadh</p>
</div><div><div><b>Department</b></div>
<p>Teaching &amp; Academics</p>
</div></div><p>About SABIS&reg;</p>
<p>SABIS&reg; is a global education network that has an active presence in 21 countries on five continents and educates students in both the private and public sectors. SABIS&reg; schools implement the proven, proprietary SABIS&reg; Educational System, which has been developed and refined for over 135 years.
</p><p>All students in the SABIS&reg; Network benefit from a long tradition of excellence in education, a reputation that is rooted in a well-developed philosophy that seeks to provide students with a top-quality education that prepares them to meet the challenges of a changing world.</p><p>
For more information about the SABIS&reg; Network, visit: www.sabis.net.</p>
<p>Job Purpose</p>
<p></p><p>Ensuring students&rsquo; success and helping them reach their full potential by implementing the SABIS&reg; curriculum and philosophy and through the consistent use of the SABIS&reg; teaching methods.</p><p></p>
<p>Key Responsibilities:</p>
<ul><li>Teaching a class using the provided lesson plans (may also be asked to develop such plans based on the provided pacing charts as relevant and needed) for their subject(s) in order to be able to teach using the SABIS&reg; point system.</li><li>
Marking exams related to the taught subject in accordance with the schedule and material provided by the department.</li><li>
Discussing disciplinary and student performance issues with the Academic Quality Controller (AQC) and Head of Department (HOD) as needed.</li><li>
Implementing the SABIS&reg; Point System to ensure an environment conducive to learning in the classroom.</li><li>
Proctoring exams as needed while ensuring an adequate and properly managed test environment.</li><li>
Providing support for the academically low-performing students through guidance and motivation to help them improve and reach their full potential.</li><li>
Developing and/or following up on external exams preparation by going through previous exams as planned in the structured revision schedule (when applicable to specific grade levels).</li><li>
Aiding in duties that may include testing students, substituting for absent teachers, organizing students for lunches and buses, controlling traffic (vehicles and people), and other administrative duties as assigned by the school management.</li><li>
Preparing and participating in activity plans related to student life events such as but not limited to art, open houses, and physical education, in coordination with the Student Life Coordinator (SLC).</li><li>
Attending training sessions when needed and as requested by the school management in order to enhance the understanding of the SABIS&reg; system and improve the overall performance of students.</li><li>
Performing other related tasks or projects as they arise and as delegated by the school management.</li></ul>
<p>Ideal Requirements:</p>
<ul><li>Bachelor&rsquo;s degree in Education or its equivalent</li><li>
English Proficient</li><li>
A minimum of 1 year of teaching experience</li><li>
Professional behavior and ethical conduct</li><li>
Delivering results</li><li>
Continuous learning and improvement</li><li>
Accountability and taking ownership</li><li>
Excellent communication skills</li></ul>
<p>Employment Requirements:</p>
<p>Must meet all employment requirements including, but not limited to, country and local education and certification requirements, reference checks, and criminal background checks.</p><p>
Additional details about this position will only be provided to shortlisted candidates.</p><p>
SABIS&reg; is an equal opportunity employer. We are dedicated to a policy of non-discrimination in employment on any basis including age, sex, color, race, creed, national origin, religion, marital status, disability, or any other legally protected characteristics.</p></div><p></p>

Mathematics & Science Teacher

SERVIER

<div></div><div><div><div><div><div><b>Date posted: </b>Oct 22, 2025
</div></div></div></div><div><div><div><div><b>City: </b>Jeddah
</div></div></div></div><div><div><div><div><b>Country/Region: </b>SA
</div></div></div></div><div><div><div><div><b>Type of Contract: </b>Full-time Employment / Unlimited
</div></div></div></div><div><div><div><div><b>Job Requisition ID: </b>10111
</div></div></div></div><div></div><div><div><div><div><p>Medical Science Liaison, Oncology - Jeddah KSA
</p></div></div></div></div><div><div><div><div><div>.</div>
<p><b>
Role Purpose
</b></p><p>Serve as a key medical point of contact for the brand team:</p>
<ul>
<div><ul><li>Contribute clinical, scientific and strategic input to support the cross functional team.</li>
<li>Medical launch support.</li>
<li>Contribute to the development of local brand plans &amp; medical strategies.</li>
<li>By offering scientific and creative input, contribute to the development (local materials) and/or review (global/regional materials) of promotional materials for the brand teams.</li>
<li>Effectively communicate and transfer knowledge of the therapeutic available solutions environment, the clinical landscape and relevant medical and scientific information.</li>
</ul>
</div></ul><p><b>Responsibilities</b></p>
<ul>
<li>Support the medical training needs of internal business partners such as sales and marketing.</li>
<li>Oversee the collation and analysis of customer information to drive understanding and insights.</li>
<li>Support the planning &amp; implementation of symposia, advisory boards, scientific exchange and educational meetings/events with HCPs.</li>
<li>Develop and/or contribute to the affiliate / therapeutic area medical plan and strategies.</li>
<li>Support data analysis and the development of slide sets and publications (abstracts, posters, manuscripts).</li>
<li>Partner with other existing medical affairs roles to achieve a seamless medical team aimed at delivering exceptional customer experiences.</li>
<li>Support Scientific Data Disclosure (SFDA &amp; others).</li>
<li>May serve as the affiliate medical/scientific leader including research and regulatory deliverables.</li>
<li>Critically read and evaluate relevant medical literature to be current in the therapeutic areas.</li>
<li>Keep up to date with medical and other scientific developments relevant to the product or portfolio.</li>
<li>Be aware of current trends, issues and projections for clinical practice and access Customer Support &amp; Experience.</li>
<li>Respond to external customer questions and needs, including escalations by Med Info &amp; sales in accordance with company-wide requirements for responding to unsolicited requests for information.</li>
<li>The local coordination of activities and engagement of Therapeutic Area Experts and Speaker training.</li>
<li>Develop and maintain collaborations and relationships with relevant professional societies.</li>
<li>Deliver scientific and educational presentations internally and to customers.</li>
<li>Collaborate cross-functionally to drive improvement in customer engagement through digital innovation.</li>
<li>Take a leadership role in Medical to deliver positive customer experiences.
</li></ul><p><b>Skills and Requirements:</b></p>
<p><b>
Education:</b></p>
<p>
Bachelor&rsquo;s or Master&rsquo;s degree in pharmacy or medicine.</p>
<p><b>
Work Experience:</b></p>
<ul>
<li>At least 1 year experience in the Oncology field.</li>
<li>Experience in the medical Affairs or as an MSL is preferable.</li>
<li>Is based in and with experience in the Jeddah/Mecca area.</li>
</ul>
<p><b>Skills and Attributes:</b></p>
<ul>
<li>Fluency in English (written and verbal communication).</li>
<li>Displays ability to focus on details.</li>
<li>Team player with excellent communication skills.</li>
<li>Demonstrates workload prioritization and time management.</li>
<li>Has a capacity to travel 30% of the working time.</li></ul><br>
<p></p>
<div>Whatever your area of expertise, your work within the Servier Group helps advance therapeutic progress for the benefit of patients. You will be part of teams recognized for their scientific excellence and reach your full potential in a professional environment that encourages you to develop yourself. Tailor-made onboarding journeys, mobility opportunities, quality trainings, responsible management, team spirit... All this and more in a workplace focused on your well-being.</div><br>
<div></div>
<div>At Servier, we are committed to therapeutic progress to serve patient needs. We put the diversity of our employees as a source of richness for the fulfillment of this vocation.</div></div></div></div></div></div><p></p>

Medical Science Liaison, Oncology - Jeddah KSA

Raqmiyat

<div><div><h3 class="jobSectionHeader"><b>Job Information</b></h3>
<ul><div><p>Date Opened</p>
<div><b>10/16/2025</b><b>
</b></div></div><div><p>Job Type</p>
<div><b>Full time</b><b>
</b></div></div><div><p>Job Opening Status</p>
<div><b>In-progress</b><b>
</b></div></div><div><p>Work Experience</p>
<div><b>1-3 years</b><b>
</b></div></div><div><p>Industry</p>
<div><b>Technology</b><b>
</b></div></div><div><p>City</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>State/Province</p>
<div><b>Riyadh</b><b>
</b></div></div><div><p>Country</p>
<div><b>Saudi Arabia</b><b>
</b></div></div><div><p>Zip/Postal Code</p>
<div><b>11564</b><b>
</b></div></div></ul></div><div><h3 class="jobSectionHeader"><b>About Us</b></h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div><br>
</div><p></p><h3 class="jobSectionHeader"><b>Job Description</b></h3>
<div><p>We are seeking a motivated <b>Saudi National Data Scientist</b> with <b>2&ndash;3 years of experience</b> in data analysis, statistical modeling, and predictive analytics. The ideal candidate will assist in transforming raw data into actionable insights, supporting data-driven decision-making across the organization. This role is ideal for candidates passionate about data, analytical problem-solving, and leveraging statistical techniques to derive business value.</p><p></p><p><b><br>
Key Responsibilities:</b></p><ul><li><p><br>
Collect, clean, and pre process data from multiple sources to ensure <b>accuracy and consistency</b>.</p></li><li><p><br>
Assist in building <b>predictive models, statistical analyses, and machine learning solutions</b>.</p></li><li><p><br>
Support the development of <b>dashboards and reports</b> using <b>Power BI, Tableau, or similar tools</b>.</p></li><li><p><br>
Collaborate with business teams to understand requirements and translate them into <b>data-driven solutions</b>.</p></li><li><p><br>
Analyze trends, patterns, and anomalies to provide actionable business insights.</p></li><li><p><br>
Participate in <b>feature engineering, data transformation, and model evaluation</b>.</p></li><li><p><br>
Document methodologies, models, and analytical processes.</p></li><li><p><br>
Ensure compliance with <b>data security, governance, and quality standards</b>.</p></li><li><p><br>
Stay updated with emerging <b>data science tools, techniques, and best practices</b>.</p></li><li><p><br>
Assist in presenting findings to stakeholders in a clear and concise manner.</p></li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Requirements</b></h3><p><b>
Skills Required:</b></p><ul><li><p><br>
2&ndash;3 years of experience in <b>data analysis or data science</b>.</p></li><li><p><br>
Proficiency in <b>Python, R, or similar programming languages</b> for data analysis.</p></li><li><p><br>
Strong knowledge of <b>statistics, machine learning, and predictive modeling</b>.</p></li><li><p><br>
Experience with <b>SQL</b> and data querying.</p></li><li><p><br>
Familiarity with <b>Power BI, Tableau, or other visualization tools</b>.</p></li><li><p><br>
Understanding of <b>data preprocessing, feature engineering, and model evaluation</b>.</p></li><li><p><br>
Strong analytical, problem-solving, and critical-thinking skills.</p></li><li><p><br>
Excellent attention to detail and data accuracy.</p></li><li><p><br>
Good communication and teamwork skills.</p></li><li><p><br>
Bachelor&rsquo;s degree in <b>Computer Science, Data Science, Statistics, or a related field</b>.</p></li></ul></div></div></div><p></p>

Data Scientist (Saudi National)

Robusta Studio

<div>
 <strong>
  About Octopus By RTG
  <br/>
  <br/>
 </strong>
 Octopus by RTG is the tech hiring and outsourcing arm of
 <strong>
  Robusta Technology Group
 </strong>
 , dedicated to connecting exceptional tech talent with top-tier organizations across the
 <strong>
  MENA, GCC, Europe, the US, and Canada
 </strong>
 . We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to
 <strong>
  empower growth, innovation, and excellence
 </strong>
 by matching the right talent with the right opportunities.
 <br/>
 <br/>
 Currently, we are hiring a
 <strong>
  Data Scientist
 </strong>
 for one of our
 <strong>
  partner organizations in KSA
 </strong>
 on a
 <strong>
  1-year contract
 </strong>
 , offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.
 <br/>
 <br/>
 <strong>
  Main Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Identify and prioritize AI/ML use cases that deliver measurable business value and ROI
  </li>
  <li>
   Develop, validate, and deploy machine learning models for fraud detection, claim risk prediction, customer segmentation, and pricing optimization
  </li>
  <li>
   Build and maintain end-to-end data pipelines including data preparation, feature engineering, and model deployment
  </li>
  <li>
   Implement advanced analytics techniques, including deep learning, NLP, and computer vision where applicable
  </li>
  <li>
   Collaborate with ML Engineers to productionize models using MLOps best practices and CI/CD pipelines
  </li>
  <li>
   Ensure compliance with Saudi regulations (PDPL, NDMO) for data usage, model development, and AI governance
  </li>
  <li>
   Implement model monitoring, drift detection, and automated retraining pipelines to maintain model performance
  </li>
  <li>
   Partner with business stakeholders to translate complex business problems into actionable data-driven solutions
  </li>
  <li>
   Conduct A/B testing and experimentation to measure model effectiveness and optimize outcomes
  </li>
  <li>
   Develop and deploy explainable AI (XAI) models ensuring transparency and regulatory compliance
  </li>
  <li>
   Prepare technical documentation, analytical reports, and executive dashboards on model outcomes and insights
  </li>
  <li>
   Lead knowledge transfer sessions and mentor junior data scientists and analysts to build internal capabilities
  </li>
  <li>
   Stay current with latest AI/ML research and evaluate new technologies and techniques for business applications
  </li>
  <li>
   Collaborate with the Data Engineering team to ensure high-quality, reliable data for ML models
  </li>
  <li>
   Support the development of enterprise ML platforms and reusable AI/ML components
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Main Requirements
   <br/>
   <br/>
  </strong>
 </strong>
 <strong>
  Education:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field (required)
  </li>
  <li>
   Master's or PhD in Machine Learning, Data Science, Statistics, or Artificial Intelligence (preferred)
  </li>
  <li>
   Relevant certifications such as Google Cloud ML Engineer, AWS Certified Machine Learning, TensorFlow Developer, or Azure AI Engineer are a plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Experience &amp; Skills:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   5+ years of proven experience in Machine Learning, Data Science, and Applied Statistics
  </li>
  <li>
   Strong expertise in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost)
  </li>
  <li>
   Proficiency in SQL and experience working with big data platforms (e.g., BigQuery, Spark, Databricks)
  </li>
  <li>
   Hands-on experience with MLOps tools such as Kubeflow, MLflow, Vertex AI, or SageMaker
  </li>
  <li>
   Demonstrated ability to work with structured and unstructured data (JSON, text, images)
  </li>
  <li>
   Deep understanding of statistical methods, experimental design, and hypothesis testing
  </li>
  <li>
   Proven track record in model deployment, monitoring, and lifecycle management
  </li>
  <li>
   Familiarity with cloud-native ML platforms (Vertex AI, Azure ML, SageMaker)
  </li>
  <li>
   Knowledge of AI governance frameworks, explainable AI (XAI), and model interpretability
  </li>
  <li>
   Experience with deep learning, computer vision, and natural language processing (NLP)
  </li>
  <li>
   Knowledge of generative AI, LLMs, and real-time or edge ML deployment
  </li>
  <li>
   Strong understanding of Saudi data regulations (PDPL, NDMO, SAMA)
  </li>
  <li>
   Experience in the insurance or financial services domain (fraud detection, pricing models, claims prediction)
  </li>
  <li>
   Excellent communication skills to explain complex analytical findings to non-technical audiences
  </li>
  <li>
   Strong leadership and mentoring abilities, with experience guiding data science teams
  </li>
 </ul>
</div>


Data Scientist - Onsite (Riyadh) - Octopus - Immediate hire

TAWANTECH

<div>
 <strong>
  <strong>
   Job Overview:
   <br/>
   <br/>
  </strong>
 </strong>
 We are seeking an experienced
 <strong>
  Data Scientist
 </strong>
 to join our growing data team. The ideal candidate will have a strong analytical mindset, experience with large and complex datasets, and a solid foundation in statistical modeling and machine learning. You will play a critical role in uncovering insights, building data-driven solutions, and supporting strategic decisions across the organization.
 <br/>
 <br/>
 <strong>
  <strong>
   Key Responsibilities:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   Analyze large, complex structured and unstructured datasets to derive actionable insights.
  </li>
  <li>
   Develop, validate, and deploy statistical and machine learning models.
  </li>
  <li>
   Use SQL, Python, or R to manipulate data and draw insights from large datasets.
  </li>
  <li>
   Design and build visualizations using tools like Power BI, Tableau, or Looker to communicate findings.
  </li>
  <li>
   Implement parameter reduction techniques such as feature selection and PCA to optimize models.
  </li>
  <li>
   Build and manage end-to-end data workflows in Dataiku (DSS) including data ingestion, preparation, modeling, and deployment.
  </li>
  <li>
   Work with APIs and integrate external/internal data sources for enhanced analytics capabilities.
  </li>
  <li>
   Apply LLM techniques including prompt engineering and fine-tuning to relevant business problems.
  </li>
  <li>
   Experiment with and integrate vector databases and embedding-based approaches for LLM use cases.
  </li>
  <li>
   Collaborate with cross-functional teams including product, engineering, and business stakeholders.
  </li>
  <li>
   Ensure accuracy, consistency, and quality in data deliverables.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 <strong>
  <strong>
   Required Qualifications:
   <br/>
   <br/>
  </strong>
 </strong>
 <ul>
  <li>
   3+ years of experience as a Data Scientist, Data Analyst, or similar role.
  </li>
  <li>
   Strong proficiency in SQL and Python or R.
  </li>
  <li>
   Hands-on experience with data visualization tools (Power BI, Tableau, Looker, etc.).
  </li>
  <li>
   Solid understanding of statistics, data modeling, hypothesis testing, and machine learning.
  </li>
  <li>
   Experience with parameter reduction techniques (e.g., PCA, feature selection).
  </li>
  <li>
   Proven experience working with APIs, large datasets, and both structured/unstructured data.
  </li>
  <li>
   Experience using Dataiku (DSS) for building data pipelines and deploying models.
  </li>
  <li>
   Familiarity with LLMs (prompt engineering, fine-tuning) and vector database technologies.
  </li>
  <li>
   Bachelor's degree in Data Science, Statistics, Computer Science, Economics, or a related field.
  </li>
  <li>
   Experience in the financial services or investment domain is a plus
  </li>
 </ul>
</div>


Data Scientist

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