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>

Data Science Specialist

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>

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

Virtusa Lifespaces India Pvt Ltd

<div>The Data &amp; Analytics team is responsible for integrating new data sources, creating data models, developing data dictionaries, and building machine learning models for Wholesale Bank.
<br>
The primary objective is to design and deliver data products that assist squads at Wholesale Bank in achieving business outcomes and generating valuable business insights.
<br>
Within this job family, we distinguish between Data Analysts and Data Scientists Requirements
<br>
We are seeking a highly skilled Data Science and Machine Learning specialist with 2+ years of experience in Advanced Analytics, Statistical and ML model development.
<br>
In this role, candidates will be responsible for leveraging data-driven insights and machine learning techniques to solve complex business problems, optimize processes, and drive innovation.
<br>
The ideal candidate will be skilled in working with large datasets.
<br>
Key Responsibilities:
<br>
Extract and analyse data from company databases to drive the optimization and enhancement of product development and marketing strategies.
<br>
Analyse large datasets to uncover trends, patterns, and insights that can influence business decisions.
<br>
Leverage predictive and AI/ML modelling techniques to enhance and optimize customer experience, boost revenue generation, improve ad targeting, and more.
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Design, implement, and optimize machine learning models for a wide range of applications such as predictive analytics, natural language processing, recommendation systems, and more.
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Conduct experiments to fine tune machine learning models and evaluate their performance using appropriate metrics.
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2+ years of experience in Analytics, Machine learning, Deep learning.
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Proficiency in programming languages such as Python, and familiarity with machine learning libraries (e.g., Numpy, Pandas, TensorFlow, Keras, PyTorch, Scikit-learn).
<br>
Strong experience with data wrangling, cleaning, and transforming raw data into structured, usable formats.
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Hands on experience in developing, training, and deploying machine learning models for various applications (e.g., predictive analytics, recommendation systems, anomaly detection).
<br>
In depth understanding of machine learning algorithms (supervised, unsupervised, reinforcement learning) and their appropriate use cases<div><p><b>
About Virtusa</b></p>
<p>
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

HR4U Consulting

<ul><li>Collect, clean, and preprocess large structured and unstructured datasets.</li><li>Develop and implement machine learning and statistical models to solve business problems.</li><li>Perform exploratory data analysis (EDA) to identify trends, correlations, and patterns.</li><li>Design and execute data experiments to test hypotheses and validate models.</li><li>Communicate findings through visualizations, dashboards, and clear business reports.</li><li>Collaborate with cross-functional teams (engineering, product, marketing, etc.) to integrate models into production systems.</li><li>Monitor and improve model performance over time.</li><li>Stay updated with new technologies, algorithms, and tools in data science and AI.</li></ul><p><b>Qualifications &amp; Skills:</b></p><ul><li><b>Education:</b> Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or related field.</li><li><b>Experience:</b> 5 years+ of experience in data analysis, data science, or machine learning (can vary depending on seniority).</li><li><b>Technical Skills:</b></li><li>Proficiency in Python or Predictive analysis for data analysis .</li><li>Experience with AWS</li><li>Knowledge of machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch).</li><li>Familiarity with data visualization tools (e.g., Power BI, Tableau, matplotlib, seaborn).</li><li>Experience with big data technologies (e.g., Spark, Hadoop) is a plus.</li><li><b>Soft Skills:</b></li><li>Strong analytical and problem-solving skills.</li><li>Excellent communication and storytelling abilities.</li><li>Ability to work independently and collaboratively in a team environment.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;2,200,000.00 - &#8377;2,400,000.00 per year</p><p>Work Location: Remote</p>

EjadTech - إيجاد التقنية

<div>
 <p>
  To analyze large and complex datasets using statistical methods and machine learning algorithms, deriving valuable insights that support strategic decision-making and enhance organizational performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  Collect, clean, and prepare data from various internal and external sources.
 </p>
 <p>
  Design and build predictive models using Machine Learning and AI techniques.
 </p>
 <p>
  Apply advanced statistical analysis to discover hidden patterns and relationships.
 </p>
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  Develop interactive dashboards and reports using Business Intelligence tools (Power BI, Tableau).
 </p>
 <p>
  Collaborate with cross-functional teams (IT, Development, Business) to translate needs into analytical solutions.
 </p>
 <p>
  Monitor, validate, and continuously improve model performance.
 </p>
 <p>
  Present findings and provide actionable recommendations to senior management.
 </p>
 <p>
  Stay up to date with the latest trends in data science and emerging technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
 </p>
 <p>
  Minimum of 3 years of professional experience in data analysis, data science, or predictive modeling.
 </p>
 <p>
  Proficiency in programming languages (Python, R, SQL).
 </p>
 <p>
  Knowledge of Big Data tools (Hadoop, Spark) is a plus.
 </p>
 <p>
  Strong skills in data visualization and reporting.
 </p>
 <p>
  Excellent analytical thinking and problem-solving abilities.
 </p>
 <p>
  Strong communication skills and ability to work in a team environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Core Skills:
  </strong>
 </p>
 <p>
  Statistical Data Analysis
 </p>
 <p>
  Machine Learning &amp; Artificial Intelligence
 </p>
 <p>
  Business Intelligence (BI) Dashboards
 </p>
 <p>
  Database Management (SQL/NoSQL)
 </p>
 <p>
  Data Interpretation &amp; Storytelling for Non-Technical Stakeholders
 </p>
</div>


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