principal data scientist

SnapFind

<ul><li><b>Candidate must have</b> 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).</li><li><b>Candidate must have</b> strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.</li><li><b>Candidate must have</b> experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.</li><li><b>Candidate must have</b> hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.</li><li><b>Candidate must have</b> experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.</li></ul><p><b>Job Description</b>Principal Data Scientist</p><p><b>(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)</b></p><p>healthcare support services company specializing in:</p><ul><li>Remote Live Medical Scribing</li><li>AI-Based Medical Scribing</li><li>Medical Coding</li><li>Medical Billing</li><li>Virtual Medical Office Solutions (VMOS)</li></ul><p>With a strong presence across India through our offices in Bengaluru, Coimbatore, and Mohali, we serve a wide range of healthcare providers in the United States.</p><p>Job Details</p><ul><li><b>Designation:</b> Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)</li><li><b>Location:</b> Hebbal Ring Road, Bengaluru</li><li><b>Work Mode:</b> Work from Office</li><li><b>Shift:</b> Day Shift</li><li><b>Reporting To:</b> SVP</li><li><b>Compensation:</b> Best in the industry (for suitable candidates)</li></ul><p>Educational Qualifications</p><ul><li>Ph.D. or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field</li><li>Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage</li></ul><p>Experience Required</p><ul><li>7+ years of experience solving real-world problems using:</li><li>Natural Language Processing (NLP)</li><li>Automatic Speech Recognition (ASR)</li><li>Large Language Models (LLMs)</li><li>Machine Learning (ML)</li><li>Preferably within the healthcare domain</li><li>Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable</li></ul><p>Role Overview</p><p>We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:</p><ul><li>Reduce administrative burden in EMR data entry</li><li>Improve provider satisfaction and productivity</li><li>Enhance quality of care and patient outcomes</li></ul><p>Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.</p><p>The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.</p><p>Key ResponsibilitiesAI Strategy &amp; Solution Development</p><ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul><p>Model Development &amp; Optimization</p><ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul><p>Cloud &amp; MLOps Implementation</p><ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul><p>Integration &amp; Compliance</p><ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul><p>Collaboration &amp; Leadership</p><ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul><p>Required Skills &amp; Competencies</p><ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul><p>Employee Benefits &amp; Perks</p><ul><li><b>Medical Insurance:</b> ₹4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable)</li><li><b>Group Personal Accident Policy:</b> Coverage equivalent to 5 years&rsquo; CTC in case of accidental death</li><li><b>Complimentary Canteen Facilities</b> for office-based employees</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹2,500,000.00 - ₹3,000,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Work Location: In person</p>

Principal Data Scientist

Qualitrix Technologies pvt ltd

<p>Role Overview</p><p>This position is part of ScribeEMR, a healthcare division of Focus Group specializing in medical coding and scribing.</p><p>We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:</p><ul><li>Reduce administrative burden in EMR data entry</li><li>Improve provider satisfaction and productivity</li><li>Enhance quality of care and patient outcomes</li></ul><p>Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.</p><p>The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.</p><p>Key ResponsibilitiesAI Strategy &amp; Solution Development</p><ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul><p>Model Development &amp; Optimization</p><ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul><p>Cloud &amp; MLOps Implementation</p><ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul><p>Integration &amp; Compliance</p><ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul><p>Collaboration &amp; Leadership</p><ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul><p>Required Skills &amp; Competencies</p><ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul><p>Employee Benefits &amp; Perks</p><ul><li><b>Medical Insurance:</b> ₹4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable)</li><li><b>Group Personal Accident Policy:</b> Coverage equivalent to 5 years&rsquo; CTC in case of accidental death</li><li><b>Complimentary Canteen Facilities</b> for office-based employees</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: From ₹2,500,000.00 per year</p><p>Benefits:</p><ul><li>Health insurance</li><li>Provident Fund</li></ul><p>Application Question(s):</p><ul><li>Your Current CTC </li></ul><p>Experience:</p><ul><li>Total: 6 years (Required)</li></ul><p>Work Location: In person</p>

Kazam Energy

<p><b>Job Details</b></p><ul><li><b>Designation:</b> Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)</li><li><b>Work Mode:</b> Work from Office</li><li><b>Shift:</b> Day Shift</li><li><b>Reporting To:</b> SVP</li></ul><p><b>Experience Required</b></p><ul><li>7+ years of experience solving real-world problems using:</li><li>Natural Language Processing (NLP)</li><li>Automatic Speech Recognition (ASR)</li><li>Large Language Models (LLMs)</li><li>Machine Learning (ML)</li><li>Preferably within the healthcare domain</li><li>Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable</li><li>Must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.</li></ul><p><b>Key Responsibilities</b></p><p><b>AI Strategy &amp; Solution Development</b></p><ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul><p><b>Model Development &amp; Optimization</b></p><ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul><p><b>Cloud &amp; MLOps Implementation</b></p><ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul><p><b>Integration &amp; Compliance</b></p><ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul><p><b>Required Skills &amp; Competencies</b></p><ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul><p><b>Employee Benefits &amp; Perks</b></p><ul><li><b>Medical Insurance:</b> ₹4 Lakhs per annum (Coverage for self, spouse, and 2 children under 25 years of age; non-reimbursable)</li><li><b>Group Personal Accident Policy:</b> Coverage equivalent to 5 years&rsquo; CTC in case of accidental death</li><li><b>Complimentary Canteen Facilities</b> for office-based employees</li></ul><p>Job Type: Full-time</p><p>Pay: ₹2,500,000.00 - ₹3,000,000.00 per year</p><p>Work Location: In person</p>

Bluecloud Softech

<p><b>Hiring: Principal Data Scientist &ndash; Healthcare AI </b>| <b>7-10 years experience </b>| <b>(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)</b></p><p><b>Note: </b></p><ul><li>Please go through all the details below to understand the role criteria.</li><li>Ensure your current CTC aligns with the budget mentioned below for a smooth hiring process.</li></ul><p><b>Qualification: </b></p><ul><li>Master&rsquo;s / PhD in Computer Science, AI, ML or related field</li><li>Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage</li></ul><p><b>Work Mode:</b> Onsite | 5 days working</p><p><b>Salary:</b> 25-29 LPA</p><p><b>Age Criteria:</b> Should not be more than 34 years</p><p><b>Required Skills: </b>Generative AI, NLP &amp; ASR, Transformer Models, Cloud Deployment, MLOps</p><p><b>Mandatory Criteria:</b></p><ul><li>Must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).</li><li>Must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.</li><li>Must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.</li><li>Must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.</li><li>Must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.</li></ul><p><b>Key Responsibilities:</b></p><p><b>AI Strategy &amp; Solution Development</b></p><ul><li>Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI</li><li>Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation</li><li>Develop and integrate Agentic AI frameworks enabling multi-agent collaboration</li><li>Design scalable, reusable, and production-ready AI frameworks for speech and text analytics</li></ul><p><b>Model Development &amp; Optimization</b></p><ul><li>Fine-tune, train, and optimize large-scale NLP and ASR models</li><li>Develop and optimize ML algorithms for speech, text, and structured healthcare data</li><li>Conduct rigorous testing and validation to ensure high clinical accuracy and performance</li><li>Continuously evaluate and enhance model efficiency and reliability</li></ul><p><b>Cloud &amp; MLOps Implementation</b></p><ul><li>Architect and deploy AI models on AWS, Azure, or GCP</li><li>Deploy and manage models using containerization, Kubernetes, and serverless architectures</li><li>Design and implement robust MLOps strategies for lifecycle management</li></ul><p><b>Integration &amp; Compliance</b></p><ul><li>Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR</li><li>Integrate AI systems with EHR/EMR platforms</li><li>Implement ethical AI practices, regulatory compliance, and bias mitigation techniques</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with business analysts, healthcare professionals, software engineers, and ML engineers</li><li>Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures</li><li>Mentor and lead junior data scientists and engineers</li><li>Contribute to AI research, publications, patents, and long-term AI strategy</li></ul><p><b>Required Skills &amp; Competencies:</b></p><ul><li>Expertise in Machine Learning, Deep Learning, and Generative AI</li><li>Strong Python programming skills</li><li>Hands-on experience with PyTorch and TensorFlow</li><li>Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)</li><li>Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)</li><li>Experience with text embeddings and vector databases</li><li>Proficiency in cloud platforms (AWS, Azure, GCP)</li><li>Experience with LangChain, OpenAI APIs, and RAG architectures</li><li>Knowledge of agentic AI frameworks and reinforcement learning</li><li>Familiarity with Docker, Kubernetes, and MLOps best practices</li><li>Understanding of FHIR, HL7, HIPAA, and healthcare system integrations</li><li>Strong communication, collaboration, and mentoring skills</li></ul><p>Job Types: Full-time, Permanent</p><p>Pay: ₹2,500,000.00 - ₹2,900,000.00 per month</p><p>Work Location: In person</p>

Finaira

<div><p>The Principal Data Scientist will provide strategic technical leadership and direction for data science initiatives across the organization, particularly within the financial sector. This role is responsible for driving innovation, setting technical standards, mentoring a team of data scientists, and collaborating with senior stakeholders to define and deliver high-impact AI and machine learning solutions that align with business strategy and drive significant value.</p><p></p><p><b>
The difference you will make:</b></p><ul><li>
Define the technical data science strategy and roadmap.</li><li>
Lead the research and development of cutting-edge AI solutions.</li><li>
Evaluate and implement new data science technologies and platforms.</li><li>
Provide technical leadership and guidance to the data science team.</li><li>
Ensure the scalability and reliability of data science infrastructure.</li></ul><br>
<b>
Requirements</b><p><b><br>
Education:
</b></p><ul><li>Master&rsquo;s degree or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative field with an exceptional academic record.</li></ul><p><b>
Experience:</b></p><ul><li>
8+ years of progressive experience in data science, with more than 2 years spent leading and successfully delivering complex AI/ML projects with demonstrable business impact.</li><li>
Extensive and deep experience in the financial services industry, with a comprehensive understanding of financial data, regulations, and business challenges.
</li><li>Proven experience in leading and mentoring data science teams.
</li><li>A strong portfolio showcasing the successful application of AI/ML to solve significant financial problems (e.g., transformative fraud prevention systems, advanced risk management platforms, high-impact algorithmic trading strategies, game-changing customer analytics solutions)</li></ul><p><b>
Technical Skills:
</b></p><ul><li>Expert-level mastery in multiple programming languages relevant to data science (e.g., Python, R, Scala, Java) and their associated libraries and frameworks.</li><li>
Deep and comprehensive expertise across a wide range of machine learning frameworks, including advanced knowledge of deep learning architectures and specialized tools.</li><li>
Exceptional understanding of both foundational and cutting-edge statistical concepts and ML algorithms, including deep learning architecture and specialized tools.</li><li>
Deep understanding of Data and AI governance frameworks and requirements.
</li><li>Advanced mathematical skills, demonstrating a strong theoretical understanding and practical application to complex financial problems.
</li><li>Expert-level proficiency in SQL and a variety of database management systems (both relational and NoSQL), with the ability to design and optimize data storage and retrieval for large-scale AI/ML applications.</li><li>
Extensive experience with advanced data visualization tools and the ability to communicate complex insights to executive audiences through compelling visuals and narratives.
</li><li>Deep and practical experience with cloud computing platforms (AWS, Azure, GCP) and their comprehensive suite of AI/ML services, including architecting and deploying scalable solutions.
</li><li>Proven expertise in designing and working with large, complex data sets and big data technologies (Hadoop, Spark, etc.), including the ability to optimize data processing workflows for performance and scalability.
</li><li>Mastery of various distributed databases (Hive, Impala, Redis, etc.) and a proven ability to design and implement efficient data storage and access patterns for AI/ML workloads.</li></ul><p><b>
Soft Skills:</b></p><ul><li>
Strong ownership and accountability for assigned work.
</li><li>Clear and professional verbal and written communication.</li><li>
Effective time management and task prioritization.</li><li>
Analytical thinking and problem-solving skills.</li><li>
Ability to work independently, collaborate effectively and mentor junior team members.</li><li>
Ability to actively listen to customers and accurately understand their needs, expectations, and challenges.</li><li>
Adaptability and learning agility in a fast-paced environment.</li><li>
Strong attention to detail and a commitment to quality.</li><li>
Receptiveness to feedback and continuous improvement mindset.</li></ul><p>
Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.</p></div>

Devoted Health

<div></div><div><div>Job Description</div><div><i>
A bit about this role:</i></div><div>
As a Principal Data Scientist, you will serve as a senior analytical partner embedded within one of the most complex operational systems at Devoted: how we make and measure claim decisions at scale.</div><div>
You will work across Claims, Product, Engineering, and Operations to define ambiguous problems, determine what &ldquo;good&rdquo; looks like, and design the data systems that help us get there. This includes shaping how we measure decision quality, operational performance, payment accuracy, and provider experience across the full lifecycle of a claim.</div><div>
You will combine deep technical skill, structured problem solving, and cross-functional partnership to turn messy operational challenges into clear, measurable, scalable solutions.</div><div>
We are eager to find problem-solvers who iterate quickly, embrace ambiguity, and are deeply committed to our mission. You care about building strong technical foundations that enable real impact for our members and colleagues. You&rsquo;re excited by the evolving AI landscape, but grounded in fundamentals, treating AI and LLMs as powerful tools to accelerate problem-solving, not a replacement for clear thinking or strong data models.</div><div>
In this role, you will:</div><ul><li><div>
Frame ambiguous problems, define what success looks like, and translate business challenges into measurable analytical strategies.</div></li><li><div>
Own and evolve scalable data models, pipelines, and core metrics that serve as the long-term foundations for claim decision quality and operational performance.</div></li><li><div>
Build and iterate on analytical and modeling solutions, shipping quickly, learning from real-world feedback, and refining systems to drive measurable impact.</div></li><li><div>
Leverage emerging ML/AI tools thoughtfully, integrating them into production workflows where they add leverage, grounded in strong data fundamentals and clear business outcomes.</div></li></ul><div>
What makes someone successful here:</div><ul><li><div>
You have deep experience partnering with stakeholders across an organization to solve complex problems</div></li><li><div>
You are comfortable defining both the question and the measurement approach</div></li><li><div>
You can move fluidly between SQL, modeling, experimentation, and strategic conversations</div></li><li><div>
You enjoy building durable systems, not just running one-off analyses</div></li><li><div>
You are coachable, collaborative, and excited by hard problems</div></li></ul><div>
Required skills and experience:</div><ul><li><div>
Ability to thrive in a fast-paced, high-growth environment that values quick iteration</div></li><li><div>
7+ years of individual technical contributor experience</div></li><li><div>
Strong SQL and experience working in modern data ecosystems (Snowflake, dbt, Python, Looker or similar)</div></li><li><div>
Skilled at collaborating with cross-functional teams and influencing decisions with data-driven insights</div></li><li><div>
Comfort building scalable, maintainable data pipelines and performing deep statistical analysis, predictive modeling, or experimental design to drive business strategy.</div></li></ul><div></div><div><i>
Desired skills and experience:</i></div><ul><li><div>
Experience in healthcare, insurance, fintech, or other complex operational domains</div></li><li><div>
Familiarity with claims data or regulated environments</div></li><li><div>
Comfort performing live analysis or collaborative debugging with stakeholders</div></li><li><div>
Experience incorporating ML or AI tools into operational workflows<br>
<br>
<i>Salary range:</i> $128,057- $187, 083 annually plus eligibility for discretionary performance based bonus paid out annually. Target bonus is 10% however the actual payout is based on the terms of the bonus plan. The total compensation for this role is: $140,862-$205,791 (base plus bonus)<br>
<br>
#LI-remote</div></li></ul><div></div><div>
The pay range listed for this position is the range the organization reasonably and in good faith expects to pay for this position at the time of the posting. Once the interview process begins, your talent partner will provide additional information on the compensation for the role, along with additional information on our total rewards package. The actual base salary offered will depend on a variety of factors, including the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job.</div><div></div><div>
Our Total Rewards package includes:</div><ul><li><div>
Employer sponsored health, dental and vision plan with low or no premium</div></li><li><div>
Generous paid time off</div></li><li><div>
$100 monthly mobile or internet stipend</div></li><li><div>
Stock options for all employees</div></li><li><div>
Bonus eligibility for all roles excluding Director and above; Commission eligibility for Sales roles</div></li><li><div>
Parental leave program</div></li><li><div>
401K program</div></li><li><div>
And more....</div></li></ul><div></div><ul><li><i>Our total rewards package is for full time employees only. Intern and Contract positions are not eligible.</i></li></ul><div></div><div>
Healthcare equality is at the center of Devoted&rsquo;s mission to treat our members like family. We are committed to a diverse and vibrant workforce.</div><div></div><div>
At Devoted Health, we&rsquo;re on a mission to dramatically improve the health and well-being of older Americans by caring for every person like family. That&rsquo;s why we&rsquo;re gathering smart, diverse, and big-hearted people to create a new kind of all-in-one healthcare company &mdash; one that combines compassion, health insurance, clinical care, service, and technology - to deliver a complete and integrated healthcare solution that delivers high quality care that everyone would want for someone they love. Founded in 2017, we've grown fast and now serve members across the United States. And we've just started. So join us on this mission!</div><div></div><div>
Devoted is an equal opportunity employer. We are committed to a safe and supportive work environment in which all employees have the opportunity to participate and contribute to the success of the business. We value diversity and collaboration. Individuals are respected for their skills, experience, and unique perspectives. This commitment is embodied in Devoted&rsquo;s Code of Conduct, our company values and the way we do business.</div><div></div><div>
As an Equal Opportunity Employer, the Company does not discriminate on the basis of race, color, religion, sex, pregnancy status, marital status, national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. Our management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities and general treatment during employment.</div></div>
<br><p></p><div><div><div><div><div><div>We have been made aware of instances of fraudulent job postings and/or fraudulent recruiting activity by individuals purporting to represent Devoted Health. These fraudulent schemes often seek monetary contributions or payments from job seekers (such as for &ldquo;start up costs&rdquo; or &ldquo;equipment&rdquo;), or seek to collect sensitive personal information. These job postings and offers are NOT authorized by Devoted Health and Devoted is not responsible for fraudulent offers, personal information that you may have disclosed, or payments made to third parties purporting to represent Devoted. We have reported this matter and are cooperating with law enforcement agencies. Devoted Health will never ask for financial commitment or contribution from a candidate at any stage of the recruitment process.</div></div></div></div></div></div><div></div>

Providence Global Center

<p></p><div><div><div><p><b>About Providence</b></p>
<p>Providence, one of the US&rsquo;s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, &lsquo;Health for a better world&rsquo;, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.</p>
<p>Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.</p>
<p>Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.</p><br>
<p><br>
<b>Why Us?</b></p>
<ul><li>Best In-class Benefits</li>
<li>Inclusive Leadership</li>
<li>Reimagining Healthcare</li>
<li>Competitive Pay</li>
<li>Supportive Reporting Relation</li>
</ul>
</div></div><div><div><div><div><div><b>How is this team contributing to the vision of Providence?</b></div>
<div>
Healthcare Intelligence is the pillar that focuses on creating intelligent products within Providence and provides unique opportunities in Product Development, Product Design, Data Engineering, Operations, Data Science, BI Reporting and Data Analytics on cloud stack. We are a group of professionals who work towards enabling decisions that improve patient and caregiver experience.</div>
<div>
Now, as we face a new frontier&mdash;a changing health care landscape - we are looking for pioneering and compassionate individuals to plan for the next century and who can work on re-imagining the future of care with cutting-edge technologies such as big data, machine learning, artificial intelligence, IoT, and blockchain that enhance patient outcomes and experiences and more importantly, drive a lasting social impact.</div><div><br>
<b>
What will you be responsible for?</b></div>
<div>
Data Scientists provide support to mission &amp; business critical operations across the system. They are responsible for applying analytical creativity to solving problems using data, and for building production quality, scalable tech and platforms to support these solutions. Analytical tools may include (but are not necessarily limited to) statistical analysis and modeling, machine/deep learning, process optimization/automation, natural language processing, image recognition, forecasting, and geospatial analytics. Data Scientists are required to be intensively collaborative and need to work efficiently with teams and individuals across the system.</div>
<div>
As a Principal Data Scientist, you will</div>
<ul>
<li>Contribute to creating a robust vision for AI/ML team within Providence India. Maintain healthy backlog of futuristic product features and technical capabilities. Perform and set review standards, own complicated modules, and help the team with design and development approach as needed.</li>
<li>Guide other Data Scientists by coaching and mentoring team members to scale up their technical abilities.</li>
<li>Engage with stakeholders globally and influence decisions related to product goals, features, and priorities.</li>
<li>Champion healthy team culture aligned with the mission and values of Providence i.e., Integrity, Compassion, Dignity, Respect, Justice</li>
<li>Create forecasting and machine learning models by working along with business analyst, product managers and data analytics engineers in deriving insights.</li>
<li>Show an ever-learning mindset to strengthen understanding of global health care systems. Participate and contribute to industry learning and stay up to date with latest trends and findings.</li>
</ul>
<div><b>Who are we looking for?</b></div>
<ul>
<li>12 years + industry experience with an educational background in Computer Science, Statistics, Physics, Economics, Analytics, Biology, or other science, math, and technology intensive field. (Bachelor's/Master&rsquo;s Degree)</li>
<li>Should possess strong math, technology, business, and communication skills (and should be exceptional in at least one of those areas).</li>
<li>Experience in conducting diverse statistical analyses of complex, high dimensional datasets and preparing reports and visualizations to support findings. Demonstrated expertise in Machine Learning via Python or R.</li>
<li>Experience in developing &amp; deploying machine learning models using modern, open-source tools and frameworks. Experience in Deep learning is a plus</li>
<li>Excellent ability to design, prioritize, plan, and track large scale products.</li>
<li>Background in healthcare system is a plus.</li></ul><br>
<p></p>
</div></div></div></div><div><div><p>Providence&rsquo;s vision to create &lsquo;Health for a Better World&rsquo; aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization&rsquo;s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.</p>
<p>Contact our Integrity hotline also, read our Code of Conduct.</p></div></div></div><p></p>

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