science specialist

Otobid

<div>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Strong technical skills regarding statistics, data analysis, machine learning and programming
  </li>
  <li>
   Strong knowledge of Python
  </li>
  <li>
   Excellent problem-solving skills, use of data to connect multiple ideas and develop solutions
  </li>
  <li>
   Strong knowledge of SQL
  </li>
  <li>
   A portfolio with proven track records (papers, projects, blogs, GitHub repos)
  </li>
  <li>
   Knowledge in Git
  </li>
  <li>
   Good command of English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Points For:
  </strong>
 </p>
 <ul>
  <li>
   MSc degree or PhD in a Computer Science, Statistics, Mathematics or Engineering, etc
  </li>
  <li>
   Strong communication and storytelling skills. Experience in communicating complex concepts with others coming from diverse backgrounds
  </li>
  <li>
   Domain knowledge in similar businesses
  </li>
  <li>
   Experience with containerization and serving Machine Learning models as microservices
  </li>
  <li>
   Systems administration skills in Linux
  </li>
 </ul>
</div>


Data Science Specialist

<div>Overview:
<div>
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.</div><div></div><div><b><br>
&quot;DDN's A3I solutions are transforming the landscape of AI infrastructure.&quot; &ndash; IDC</b></div><div></div><div><b><i><br>
&ldquo;The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments&rdquo; - Marc Hamilton, VP, Solutions Architecture &amp; Engineering | NVIDIA</i></b></div><div></div><div><br>
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.</div><div></div><div><br>
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.</div><div></div><div><br>
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.</div>
Job Description:
<div><b>
Job Description: Data Scientist for Enhancing Support Operations</b><br>
Responsibilities for this role include but are not limited to:<br>
<ul><li>Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.</li><li>Automating the collection and analysis of logs to reduce support resolution times.</li><li>Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.</li><li>Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.</li><li>Developing a recommendation engine to suggest relevant articles and solutions based on context.</li><li>Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.</li><li>Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.</li><li>Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.</li><li>Documenting solutions, including implementation details and user guides, and providing training to support teams.</li></ul></div><div><br>
Qualifications:<br>
<ul><li>BS/MS in Data Science, Computer Science, Computer Engineering, or equivalent degree/experience.</li><li>4+ years of experience in data analytics, machine learning, and automation.</li><li>Proficiency in programming languages such as Python, R, or Java.</li><li>Experience with data processing frameworks like Hadoop, Spark, or similar.</li><li>Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).</li><li>Familiarity with natural language processing (NLP) techniques and tools.</li><li>Experience with database systems and SQL.</li><li>Strong problem-solving skills and ability to work with large datasets.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Self-starter with the ability to work independently and manage multiple tasks.</li><li>Knowledge of distributed systems is a plus.</li><li>Familiarity with version control systems like Git.</li><li>Experience with issue tracking and CI/CD tools such as JIRA, Jenkins, Gerrit, and GitHub is useful.</li></ul></div>
DDN:<div></div><div><b><br>
DataDirect Networks, Inc. is an Equal Opportunity/Affirmative Action employer.</b> All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, transgender, sex stereotyping, sexual orientation, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.</div></div>

Tintri

<div>Overview:
<div>
This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the world's most demanding AI data centers, in industries ranging from life sciences and healthcare to financial services, autonomous cars, Government, academia, research and manufacturing.</div><div></div><div><b><br>
&quot;DDN's A3I solutions are transforming the landscape of AI infrastructure.&quot; &ndash; IDC</b></div><div></div><div><b><i><br>
&ldquo;The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments&rdquo; - Marc Hamilton, VP, Solutions Architecture &amp; Engineering | NVIDIA</i></b></div><div></div><div><br>
DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads, enabling organizations to extract maximum value from their data. With a proven track record of performance, reliability, and scalability, DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence.</div><div></div><div><br>
Our success is driven by our unwavering commitment to innovation, customer-centricity, and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management.</div><div></div><div><br>
Our commitment to innovation, customer success, and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage.</div>
Job Description:
<div><b>
Job Description: Data Scientist for Enhancing Support Operations</b><br>
Responsibilities for this role include but are not limited to:<br>
<ul><li>Developing strategies to identify and mitigate inefficiencies in support operations for ExaScaler and SFA systems.</li><li>Automating the collection and analysis of logs to reduce support resolution times.</li><li>Designing and implementing real-time health scoring systems and dashboards for quick assessment of system status.</li><li>Enhancing the search functionality of the knowledge base using natural language processing (NLP) algorithms.</li><li>Developing a recommendation engine to suggest relevant articles and solutions based on context.</li><li>Implementing machine learning algorithms to detect duplicate issues in Jira and providing automated merge suggestions.</li><li>Creating and maintaining a centralized database of available patches and developing automated notifications for relevant patches.</li><li>Collaborating with support engineers, sales engineers, and other stakeholders to understand requirements and deliver effective solutions.</li><li>Documenting solutions, including implementation details and user guides, and providing training to support teams.</li></ul></div><div><br>
Qualifications:<br>
<ul><li>BS/MS in Data Science, Computer Science, Computer Engineering, or equivalent degree/experience.</li><li>4+ years of experience in data analytics, machine learning, and automation.</li><li>Proficiency in programming languages such as Python, R, or Java.</li><li>Experience with data processing frameworks like Hadoop, Spark, or similar.</li><li>Strong knowledge of machine learning algorithms and frameworks (e.g., TensorFlow, Scikit-learn).</li><li>Familiarity with natural language processing (NLP) techniques and tools.</li><li>Experience with database systems and SQL.</li><li>Strong problem-solving skills and ability to work with large datasets.</li><li>Excellent communication skills and ability to collaborate with cross-functional teams.</li><li>Self-starter with the ability to work independently and manage multiple tasks.</li><li>Knowledge of distributed systems is a plus.</li><li>Familiarity with version control systems like Git.</li><li>Experience with issue tracking and CI/CD tools such as JIRA, Jenkins, Gerrit, and GitHub is useful.</li></ul></div></div>

CDM Smith

<p></p><div><div><div><div>AI Model Development: Design, develop, and implement cutting-edge machine learning algorithms and models, focusing on NLP, Generative AI, and other AI technologies.<br>
<br>
<ul><li>Research and Innovation: Stay up to date with the latest advancements in machine learning and artificial intelligence. Conduct research to identify new techniques and approaches to improve our AI solutions.</li></ul><br>
<ul><li>Data Analysis: Analyze large and complex datasets to extract meaningful insights. Apply statistical analysis and machine learning techniques to gain a deeper understanding of the data.</li></ul><br>
<ul><li>Collaboration: Collaborate with cross-functional teams, including software engineers and data scientists, to integrate machine learning models into applications and systems effectively.</li></ul><br>
<ul><li>Algorithm Optimization: Optimize machine learning algorithms for performance, scalability, and efficiency. Identify and resolve bottlenecks to ensure smooth and fast execution.</li></ul><br>
<ul><li>Testing and Validation: Evaluate the performance of machine learning models using appropriate metrics. Conduct rigorous testing and validation to ensure the accuracy and reliability of the models.</li></ul><br>
<ul><li>Documentation: Document the development process, algorithms, and models. Prepare clear and concise technical documentation for reference and knowledge sharing.</li></ul><br>
<ul><li>Ability to conduct cost/benefit analysis, Business case development etc. Prioritize requirements and create conceptual prototypes and mock-ups.</li></ul><br>
<ul><li>Master strategic business process modeling, traceability, and quality management techniques.</li></ul><br>
<ul><li>Strong verbal and written communication and presentation skills.</li></ul><br>
<ul><li>Experience identifying and communicating analytical outcomes, verbally and in writing, to both business and technical teams.</li></ul></div>
</div><div><p><b>Minimum Qualifications</b></p>
<ul><li>Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)</li></ul><br>
<ul><li>Proven Familiarity of Finance &amp; Accounting principles and/or project accounting.</li></ul><br>
<ul><li>Proven experience in developing and implementing machine learning models, particularly in areas like NLP and Generative AI.</li></ul><br>
<ul><li>Proficiency in programming languages such as Python, TensorFlow, PyTorch, or similar frameworks.</li></ul><br>
<ul><li>Strong understanding of deep learning architectures, algorithms, and frameworks.</li></ul><br>
<ul><li>Experience with natural language processing techniques, sentiment analysis, text summarization, and related NLP tasks.</li></ul><br>
<ul><li>Familiarity with generative models such as GANs (Generative Adversarial Networks) and VAEs (Variational Autoencoders).</li></ul><br>
<ul><li>Bachelor&rsquo;s degree in computer science, Information Management/IT, Statistics, Business Administration, or related disciplines.</li></ul><br>
<ul><li>Master&rsquo;s Degree in Statistics, Business Administration or related disciplines is a plus.</li></ul><br>
<ul><li>Certifications in Data Analytics &amp; Data Science is a plus.</li></ul><br>
<ul><li>Must have 3+ years of experience working on ML algorithms and related products.</li></ul><br>
<ul><li>Must have 3+ years of experience working with relational databases (Oracle), query authoring (SQL).</li></ul><br>
<ul><li>Experience in Business Intelligence tools like Qlik Sense, Tableau, Power BI is a plus.</li></ul><br>
<ul><li>Experience on creating the Dashboards, Scorecards, Ad-hoc Reports.</li></ul><br>
<ul><li>Strong Knowledge in ERP (Oracle EBS: Projects, AR, AP Modules)</li></ul>
</div><div><p><b>Amount of Travel Required</b></p>
<div>0%
</div></div><div><p><b>Background Check and Drug Testing Information</b></p>
<div>CDM Smith Inc. and its divisions and subsidiaries (hereafter collectively referred to as &ldquo;CDM Smith&rdquo;) reserves the right to require background checks including criminal, employment, education, licensure, etc. as well as credit and motor vehicle when applicable for certain positions. In addition, CDM Smith may conduct drug testing for designated positions. Background checks are conducted after an offer of employment has been made in the United States. The timing of when background checks will be conducted on candidates for positions outside the United States will vary based on country statutory law but in no case, will the background check precede an interview. CDM Smith will conduct interviews of qualified individuals prior to requesting a criminal background check, and no job application submitted prior to such interview shall inquire into an applicant's criminal history. If this position is subject to a background check for any convictions related to its responsibilities and requirements, employment will be contingent upon successful completion of a background investigation including criminal history. Criminal history will not automatically disqualify a candidate. In addition, during employment individuals may be required by CDM Smith or a CDM Smith client to successfully complete additional background checks, including motor vehicle record as well as drug testing.</div>
</div><div><p><b>Agency Disclaimer</b></p>
<div>All vendors must have a signed CDM Smith Placement Agreement from the CDM Smith Recruitment Center Manager to receive payment for your placement. Verbal or written commitments from any other member of the CDM Smith staff will not be considered binding terms. All unsolicited resumes sent to CDM Smith and any resume submitted to any employee outside of CDM Smith Recruiting Center Team (RCT) will be considered property of CDM Smith. CDM Smith will not be held liable to pay a placement fee.</div>
</div><div><p><b>Business Unit</b></p>
<div>COR</div>
</div><div><p><b>Group</b></p>
<div>COR</div>
</div><div><p><b>Assignment Category</b></p>
<div>Fulltime-Regular
</div></div><div><p><b>Employment Type</b></p>
<div>Regular</div></div></div></div><div></div>

Intermediate Data Science Specialist

Odeabank

<div>
 <p>
  <strong>
   Advanced Analytics and Data Science - Senior Specialist
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We&rsquo;re Hiring: Advanced Analytics and Data Science Team
 </p>
 <p>
  Are you ready to bring your data science expertise into a fast-paced, agile, and impact-driven environment? We&rsquo;re looking for a Senior Data Scientist to join our growing Advanced Analytics and Data Science (CoE) team &mdash;where you&rsquo;ll work on end-to-end data science projects that directly shape the future of our business.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As part of the CoE, you'll collaborate across diverse domains including finance, marketing, operations, credit risk, and AI applications. Our projects are fast-moving and solution-oriented, often launched from scratch and built into production in weeks. You'll have the chance to work with top-tier talent, develop scalable solutions, and present your work to senior leadership &mdash; driving real business impact at every step.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Doing:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead and contribute to end-to-end data science projects: from business understanding to model deployment
  </li>
  <li>
   Design, prototype, and implement machine learning and AI solutions using Python
  </li>
  <li>
   Collaborate with cross-functional teams in finance, marketing, risk, and operations to deliver actionable insights
  </li>
  <li>
   Translate business problems into data science opportunities
  </li>
  <li>
   Ensure high code quality through version control (Git), code reviews, and adherence to software development best practices
  </li>
  <li>
   Query and manipulate data using SQL and manage workflows using bash and automation tools
  </li>
  <li>
   Contribute to CI/CD pipelines for ML/AI deployment
  </li>
  <li>
   Communicate findings effectively to technical and non-technical stakeholders, including senior leadership
  </li>
  <li>
   Stay up-to-date with the latest developments in AI, ML, and data science tools
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We&rsquo;re Looking For:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in a STEM field, Economics, or Finance
  </li>
  <li>
   3+ years of relevant experience in data science, advanced analytics, or applied ML
  </li>
  <li>
   Expertise in Python and common data science libraries (pandas, scikit-learn, etc.)
  </li>
  <li>
   Strong knowledge of relational databases and fluency in SQL
  </li>
  <li>
   Hands-on experience with ML and AI algorithms
  </li>
  <li>
   Exposure to bash scripting and workflow automation
  </li>
  <li>
   Experience working in agile teams
  </li>
  <li>
   Familiarity with Git and collaboration tools
  </li>
  <li>
   Strong understanding of software development best practices
  </li>
  <li>
   Exposure to CI/CD practices for data science or ML pipelines
  </li>
  <li>
   Excellent communication and problem-solving skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Ready to take the next step in your data science journey? Apply now and be part of a collaborative, high-impact team where your work matters from day one.
 </p>
 <p>
 </p>
</div>


Advanced Analytics and Data Science - Senior Specialist

Freshot Robotics - Food Automation

<p><b>Data Scientist, Clinical Research &amp; AI Data Representation (Information Specialist)</b></p><p><b>Job Overview Summary</b></p><p>We are seeking a data-driven Information Specialist or Data Scientist to leverage advanced AI and data science to transform complex clinical and healthcare information into actionable insights. This role emphasizes developing analytical solutions and AI-assisted data representation techniques to enhance clinical study optimization and accelerate drug discovery. You will drive innovation, contributing to a product roadmap that utilizes scalable infrastructure.</p><p><b>Key Responsibilities</b></p><ul><li>Clinical Data Analysis &amp; Modelling: Design and implement ML/statistical models for clinical research data (RWE, EHR, omics, clinical trials).</li><li>AI-Assisted Information Visualization: Innovate AI-driven visualization for complex clinical data, ensuring clarity for medical and research stakeholders.</li><li>Prompt Engineering &amp; Generative AI: Apply expertise in prompt engineering to guide and evaluate Generative AI/LLM applications for information extraction, summarization, and retrieval in clinical contexts.</li><li>Clinical Trial Data Strategy: Contribute to data science strategy, specifically aligning with clinical study optimization goals and regulatory requirements.</li><li>Cross-functional Collaboration: Partner with clinical, medical, and engineering teams to translate research questions and information needs into data solutions.</li><li>MLOps: Deploy, monitor, and maintain ML models in production, adhering to strict regulatory standards (GCP, HIPAA, GDPR).</li></ul><p><b>Qualifications</b></p><ul><li>Clinical &amp; Healthcare Domain: Essential: Demonstrated hands-on experience and deep understanding of clinical research, life sciences, or healthcare data.</li><li>Education &amp; Experience: Bachelor&rsquo;s degree (4-year professional degree) in Data Science, Information Science, Bioinformatics, or a related quantitative field, OR a Master's degree in a relevant field. 4+ years of relevant experience</li><li>Programming &amp; Tools: Proficiency in Python (Pandas, Scikit-learn, deep learning frameworks) and/or R, strong SQL skills.</li><li>Databricks &amp; Big Data: Extensive, hands-on experience with the Databricks platform (Databricks SQL, Databricks ML, Delta Lake) and Spark (PySpark/Scala Spark) for large-scale data processing, ETL, and feature engineering.</li><li>Prompt Engineering: Demonstrated practical experience with prompt engineering, LLMs, or related conversational AI applications.</li><li>Analytical &amp; Communication Skills: Excellent analytical, critical thinking, and problem-solving abilities. Strong communication and interpersonal skills to articulate complex clinical and AI concepts to both technical and medical teams.</li><li>Cloud Platforms: Experience with cloud-based platforms (AWS, Azure, GCP) for data storage, processing, and analytics is a plus.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;500,000.00 - &#8377;1,200,000.00 per year</p><p>Benefits:</p><ul><li>Paid sick time</li><li>Paid time off</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Data Scientist

Downe House School

<p><strong>About this Role</strong></p><p>Required full time 35 hours per week (8am-4pm), term time only plus INSET days.</p><p>This is an exceptional opportunity to join a friendly team working in well-equipped laboratories in a pleasant environment.</p><p>This role has specific responsibility for providing a Chemistry Technician service to the Science Faculty by preparing for all lessons and practical experiments up to and including A' Level classes. Reporting to the Head of Chemistry, but working as part of a team of technicians, you'll be expected to work independently, managing your own prep room and supporting colleagues. The department is located in a spacious and modern building which boasts four prep rooms and eight specialist science labs.</p><p>The ideal candidate will be an experienced Chemistry Technician or an individual who has worked in a practical Chemistry environment and can demonstrate competence in reagent preparation, equipment set-up, safe systems of work (COSHH/CLEAPSS), and day-to-day lab support. Chemistry A' Level or Higher Studies in Chemistry would be advantageous.</p><p><strong>Main responsibilities</strong></p><p>Ensure the availability of suitable materials and equipment for all chemistry lessons.</p><p>Contribute to assessment, monitoring and review of health and safety procedures in line with CLEAPSS.</p><p>Provide technical advice and support on health and safety issues to teaching staff including use of hazards and risk assessments.</p><p>Safely dispose of waste materials.</p><p>Organise, store and check the condition of chemicals and equipment.</p><p>Under the guidance of the Lead Technician, ensure that checking, cleaning, maintenance, calibration, testing and repairing of equipment are carried out to the required standard.</p><p><strong>Benefits Include:</strong></p><p>• Generous pension scheme (9% employer contribution)</p><p>• Provision of delicious free meals, on-site parking</p><p>• Modern gym and swimming pool facilities, for staff use at set times</p><p>• A vibrant and supportive staff community</p><p>• Beautiful working environment in a semi-rural location.</p><img src="https://www.jobg8.com/Tracking.aspx?5%2fCr%2bwDfc%2bkC8yfsXG8J4KSl2NsMQNrsi" width="0" height="0" />

Science Technician

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