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ai scientist - 2

data scientist

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
 <li>
 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
 <li>
 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

Data Scientist

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 2400000 - Rs 3500000 (ie INR 24-35 LPA)
 
 
 
 Min Experience: 6 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are seeking a skilled
 
 Speech Data Scientist
 
 to design, develop, and optimize advanced speech analytics and automatic speech recognition (ASR) solutions. The ideal candidate will work on end-to-end speech pipelines, multilingual audio processing, and model deployment in production environments. You will also drive research and innovation in speech processing, contributing to model enhancement and high-impact technical solutions.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 
 Core Development &amp; Implementation
 
 
 
 <ul>
 <li>
 Design and implement end-to-end speech analytics pipelines for production.
 </li>
 <li>
 Develop ASR engines using frameworks such as Wav2vec, Whisper, and Deep Speech with PyTorch or TensorFlow.
 </li>
 <li>
 Build and optimize speaker diarization, language identification (LID), and text post-processing systems.
 </li>
 <li>
 Focus on multilingual audio processing and domain adaptation strategies.
 </li>
 <li>
 Lead data selection and preprocessing for improved model performance.
 
 
 </li>
 </ul>
 
 Model Development &amp; Enhancement
 
 
 
 <ul>
 <li>
 Develop and analyze objective measures for speech quality evaluation and enhancement.
 </li>
 <li>
 Implement speaker-conditioned personalization techniques to improve ASR accuracy in noisy environments.
 </li>
 <li>
 Optimize on-device ASR models, emphasizing multi-language scenarios.
 </li>
 <li>
 Guide teams on best practices for model accuracy and performance optimization.
 
 
 </li>
 </ul>
 
 Research &amp; Innovation
 
 
 
 <ul>
 <li>
 Conduct research on advanced speech processing and neural speech enhancement techniques.
 </li>
 <li>
 Develop novel solutions for multi-speaker and complex audio scenarios.
 </li>
 <li>
 Contribute to patents, publications, and technical thought leadership in speech technology.
 </li>
 <li>
 Stay updated on transformer models, attention mechanisms, and foundation models.
 
 
 </li>
 </ul>
 
 Technical Integration &amp; Deployment
 
 
 
 <ul>
 <li>
 Design integration architectures for speech-to-text services and related technologies.
 </li>
 <li>
 Implement MLOps processes and CI/CD pipelines for speech model deployment.
 </li>
 <li>
 Deploy and scale speech solutions on cloud platforms (AWS, GCP).
 </li>
 <li>
 Develop production-ready applications using Python, C++, and Java.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Education
 
 
 
 <ul>
 <li>
 Ph.D./M.S./M.Tech in Computer Science, Signal Processing, or related field preferred.
 </li>
 <li>
 B.Tech/B.E in ECE, CSE, or related technical field required.
 
 
 </li>
 </ul>
 
 Technical Expertise
 
 
 
 <ul>
 <li>
 Speech Processing: 3-6 years of hands-on experience in ASR and speech analytics. Strong knowledge of HMMs, GMMs, ANNs, language modeling, CNNs, RNNs, LSTMs, CTC, and attention mechanisms.
 </li>
 <li>
 Machine Learning / Deep Learning: Proficiency in PyTorch and TensorFlow; experience with transformer models (BERT, Wav2vec 2.0, Whisper) and end-to-end ASR implementation.
 </li>
 <li>
 Programming &amp; Tools: Strong Python skills (numpy, pandas, scikit-learn), experience with C++/Java for production, bash scripting, and Git.
 </li>
 <li>
 Cloud &amp; Deployment: Hands-on experience with AWS/GCP, containerization (Docker, Kubernetes), MLOps, CI/CD pipelines, and scalable model serving.
 
 
 </li>
 </ul>
 
 Skills
 
 
 
 ASR, Speech Recognition, Speech Analytics, Multilingual Audio Processing, Python, PyTorch, TensorFlow, Deep Learning
</div>

Speech Data scientist

Microsoft

<div>
 
 Overview
 
 
 
 Do you enjoy solving problems, looking at problems through a different lens, and working closely with customers to innovate new solutions to complex problems? Do you jump with excitement at the opportunity to identify trends and provide unique business solutions? Do you want to join a team where learning about a new technology or solution is part of our work every day? Then, come join us!
 
 
 The Industry Solutions Engineering (ISE) team is a global engineering organization that works directly with customers looking to leverage the latest technologies to address their toughest challenges.
 
 
 We work closely with our customers&rsquo; engineers to jointly develop code for cloud-based solutions that can accelerate their organization. We work in collaboration with Microsoft product teams, partners, and open-source communities to empower our customers to do more with the cloud. We develop solutions side-by-side with our customers through collaborative innovation to solve their challenges. This work involves the development of broadly applicable, high-impact solution patterns and open-source software assets that contribute to the Microsoft platform.
 
 
 We are hiring a Senior Data Scientist to help drive high-impact engineering projects with our customers and their partners, transforming their missions using AI and other cloud-based solutions and services. Data scientists have data management and expertise in developing statistical techniques to analyze data and find patterns. You will be part of a cross-functional team of software engineers, data scientists, technical program managers, and designers who work side-by-side with high-impact and strategic customers and their engineers to build innovative solutions.
 
 
 As part of our team, you will thrive in working with a variety of technologies, not just Microsoft technology. You will solve exciting business problems, contribute to open source, and collaborate with Microsoft product teams.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will acquire the data necessary for your project plan and develop usable data sets for modeling. You&rsquo;ll also update internal best practices for data collection and preparation, and contribute to data integrity conversations with customers.
 </li>
 <li>
 You will evaluate your team&rsquo;s models and recommend improvements as necessary, drive best practices for models, and develop operational models that run at scale. You&rsquo;ll also conduct thorough reviews of data analysis and modeling techniques, and identify and invent new evaluation methods.
 </li>
 <li>
 You will research and maintain a deep knowledge of the industry, including trends and technologies, so that you can identify strategy opportunities and contribute to thought leadership best practices. You&rsquo;ll also write extensible code that spans multiple features, and develop expertise in proper debugging techniques.
 </li>
 <li>
 You will define business, customer, and solution strategy goals, and partner with other teams to identify and explore new opportunities. You&rsquo;ll also apply a customer-oriented focus to understand their needs, and help drive realistic customer expectations.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 2+ years customer-facing, project-delivery experience, professional services, and/or consulting experience.
 
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <li>
 OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 Enjoy travel and are comfortable with travel up to 25%
 
 
 </li>
 </ul>
 Our team prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
 
 
 At Microsoft, we are seeking people who have a passion for the positive impact technology can have on communities and for making a difference in the world. Within ISE, you will find a wide range of backgrounds, perspectives, personal and cultural experiences which are vital to our success with our customers.  It&rsquo;s an informal and flexible work environment and you&rsquo;ll be welcome to work in the way that best enables you to get your job done.
 
 
 We invest in your health, wellness, and financial future by offering a competitive package including a wide range of benefits built around your personal needs and those close to you.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances.  We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
 
 
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 #ISEngineering
 
 
 #WSS
 
 
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Senior Data Scientist

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Cisco

<div>
 
 Meet the Team
 
 
 
 The
 
 Product Operations &ndash; Business Intelligence (BI) team
 
 sits at the heart of the Supply Chain organization, where data meets real-world decision-making. We tackle some of the most complex operational challenges by combining advanced analytics, BI solutions, and cutting-edge AI/GenAI capabilities. Our mission is to transform data into action&mdash;driving deeper insights, increasing operational efficiency, and enabling smarter, faster decisions across the entire supply chain. We don&rsquo;t just report on the business; we help shape its future.
 
 
 
 Your Impact
 
 
 
 This role is ideal for someone who thrives on solving complex data problems, designing AI solutions, and contributing to large-scale transformation programs.
 
 
 
 As a Data Scientist, You Will
 
 
 
 <ul>
 <li>
 Partner with business units and supply chain stakeholders to understand their analytics needs and translate them into scalable AI solutions.
 </li>
 <li>
 Design, develop, and implement intuitive models and AI solutions
 </li>
 <li>
 Take the lead on supply chain transformation analytics&mdash;owning everything from doing POCs to production solution deployment.
 </li>
 <li>
 Collaborate with architects, business partners (GPOs, BU verticals), and IT to define use cases and design data-driven capabilities that deliver tangible business outcomes.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Science, AI/ML, or a related field.
 </li>
 <li>
 6+ years of experience in data science or applied machine learning roles, ideally within supply chain, operations, or manufacturing domains.
 </li>
 <li>
 Hands-on experience with: Large Language Models (LLMs),Transformer architectures and fine-tuning model to Domain specific needs.
 </li>
 <li>
 Generative AI models using frameworks such as Hugging Face, LangChain, Lang Smith, Lang graph or OpenAI APIs, Llama index
 </li>
 <li>
 Experience in building AI Agents and other advanced concepts such as Agent2Agent (A2A) Model context protocol (MCP) for sophisticated Gen AI solutions.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with software engineering skills, real-time analytics, ML model APIs, Rest API development or serverless architectures.
 </li>
 <li>
 Familiarity with data governance, privacy, and responsible AI practices.
 </li>
 <li>
 Prior work in supply chain analytics or operational data science.
 </li>
 <li>
 Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer) are a plus.
 
 
 </li>
 </ul>
 Why Cisco?
 
 
 At Cisco, we&rsquo;re revolutionizing how data and infrastructure connect and protect organizations in the AI era &ndash; and beyond. We&rsquo;ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 
 
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you&rsquo;ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 
 
 We are Cisco, and our power starts with you.
</div>

Data Scientist – Supply Chain

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

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