data science lead

Immersive Infotech Pvt Ltd

We&rsquo;re looking for an experienced Data Science Lead (7&ndash;10+ years) to join our growing team and drive end-to-end Machine Learning strategy and implementation across enterprise-scale projects.Role Details:Position: Data Science LeadExperience: 7 to 10+ YearsLocation: Noida / Bangalore (Hybrid / Onsite depending on project)LinkedIn Profile: MandatoryKey Responsibilities:Define Machine Learning and Deep Learning strategies for large-scale predictive and propensity models.Architect and deploy AI solutions on Azure, AWS, or GCP using Spark, Ray, or Databricks.Implement Explainable AI (SHAP, LIME, Captum) to ensure model transparency and compliance.Design and oversee A/B testing, uplift modeling, and causal inference frameworks.Build data pipelines with Airflow/Prefect and manage experiment tracking via MLflow &amp; DVC.Drive MLOps readiness &mdash; including CI/CD, monitoring, and rollback strategies.Present findings through data storytelling that drives real business outcomes.Mentor and lead data science teams, enforcing best practices and scalable solutions.Required Skills:7&ndash;10+ years in Data Science with at least 4+ years in leadership or production ML/DL roles.Proficient in Python, SQL, and ML/DL frameworks such as scikit-learn, PyTorch, TensorFlow.Expertise in Distributed Computing (Spark, Ray) and Cloud ML platforms (Azure/AWS/GCP).Hands-on experience with MLOps tools &mdash; MLflow, Kubeflow, and feature stores.Strong understanding of Explainability (SHAP, LIME, Captum) and causal inference.Excellent communication, leadership, and data storytelling skills.Job Type: Full-timePay: &#8377;600,000.00 - &#8377;1,680,000.00 per yearWork Location: In person

Data Scientist Lead

Exact Sciences

<div>Help us change lives
At Exact Sciences, we&rsquo;re helping change how the world prevents, detects and guides treatment for cancer. We give patients and clinicians the clarity needed to make confident decisions when they matter most. Join our team to find a purpose-driven career, an inclusive culture, and robust benefits to support your life while you&rsquo;re working to help others.
Position Overview
The Lead Data Scientist will drive operational excellence and strategic decision-making through advanced analytics, machine learning, and engineering. The individual in this role will lead through design, development, and deployment of data and machine learning-driven solutions to business problems. In this role, the Lead Data Scientist will work at the nexus of business priorities - patient insights, healthcare analytics, and operational efficiency applying data science techniques to optimize operations and enhance outcomes across our mission-driven initiatives.
Essential Duties
Include, but are not limited to, the following:<ul><li>
Apply machine learning, deep learning, and artificial intelligence techniques to uncover patient behavioral insights, improve healthcare delivery, and drive financial sustainability.</li><li>
Analyze patient and healthcare datasets to identify trends, optimize interventions, and align services with evolving patient needs.</li><li>
Mentor and coach junior data science staff.</li><li>
Lead and coordinate data science projects from inception to production deployment.</li><li>
Lead team to solve complex problems using sophisticated analytical thought to identify and implement innovative solutions.</li><li>
Influence product teams through presentation of data-based recommendations.</li><li>
Work with stakeholders to identify, refine, prioritize, and formalize requirements for machine learning-based solutions to business problems.</li><li>
Act as resource and subject matter expert in core team and/or cross-functional meetings.</li><li>
Ability to communicate complex results to technical and non-technical audiences.</li><li>
Ability to work with minimal supervision.</li><li>
Ability to work in a highly collaborative environment.</li><li>
Excellent verbal and written communication skills.</li><li>
Informally lead staff; responsibilities include, but are not limited to, organizing and prioritizing work, training/developing, and providing feedback on work performance.</li><li>
Communicate goals clearly to employees to ensure understanding and success in achieving them.</li><li>
Motivate and inspire employees to do their best work through coaching.</li><li>
Maintain morale and support employee engagement initiatives.</li><li>
Uphold company mission and values through accountability, innovation, integrity, quality, and teamwork.</li><li>
Support and comply with the company&rsquo;s Quality Management System policies and procedures.</li><li>
Maintain regular and reliable attendance.</li><li>
Ability to act with an inclusion mindset and model these behaviors for the organization.</li><li>
Ability to lift up to 10 pounds for approximately 5% of a typical working day.</li><li>
Ability to work on a mobile device, tablet, or in front of a computer screen and/or perform typing for approximately 80% of a typical working day.</li><li>
Ability and means to travel between Madison locations.</li><li>
Ability to travel 5% of working time away from work location. May include overnight/weekend travel.</li></ul>
Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in computer science, data science, information technology, or related field; or High School Diploma or General Education Degree (GED) and 4 years of relevant experience in lieu of Bachelor&rsquo;s degree; or Associate&rsquo;s degree and 2 years of relevant experience.</li><li>
6+ years of experience in a data scientist role.</li><li>
6+ years of experience working with large datasets for drawing business insights.</li><li>
6+ years of experience with artificial intelligence and machine learning algorithms.</li><li>
4+ years of demonstrated experience working with cloud computing and cloud engineering.</li><li>
4+ years of demonstrated experience working with SQL in an analytics capacity.</li><li>
2+ years of experience developing data science pipelines with CI/CD build processes.</li><li>
2+ years of experience training and developing junior staff.</li><li>
Professional working knowledge of statistics and modeling techniques.</li><li>
Professional working knowledge of open-source AI models.</li><li>
Proficient in Python and/or R.</li><li>
Demonstrated experience and mastery of machine learning.</li><li>
Demonstrated ability and history of learning new technologies.</li><li>
Demonstrated ability to perform the essential duties of the position with or without accommodation.</li><li>
Legal authorization to work in the country of employment without current or future sponsorship.</li></ul>
Preferred Qualifications<ul><li>
Master&rsquo;s degree in science, technology, engineering, mathematics, or related field.</li><li>
Professional working knowledge of Natural Language Processing, Information Retrieval, or Recommender Systems.</li><li>
Professional working knowledge of distributed computing and big data technologies, such as Spark or related technologies.</li></ul>
#LI-TA21
Salary Range:
$121,000.00 - $206,000.00 

The annual base salary shown is for this position located in US - WI - Madison on a full-time basis. In addition, this position is bonus eligible.
Exact Sciences is proud to offer an employee experience that includes paid time off (including days for vacation, holidays, volunteering, and personal time), paid leave for parents and caregivers, a retirement savings plan, wellness support, and health benefits including medical, prescription drug, dental, and vision coverage. Learn more about our benefits.
Our success relies on the experiences and perspectives of a diverse team, and Exact Sciences fosters a culture where all employees can develop personally and professionally with a sense of respect and belonging. If you require an accommodation, please contact us here.
Not ready to apply? Join our Talent Community to stay updated on the latest news and opportunities at Exact Sciences.
We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to disability, protected veteran status, and any other status protected by applicable local, state, or federal law.
To view the Right to Work, E-Verify Employer, and Pay Transparency notices and Federal, Federal Contractor, and State employment law posters, visit our compliance hub. The documents summarize important details of the law and provide key points that you have a right to know.</div>

Lead, Data Scientist

CEDGE

<div>CEdge has an opportunity for Data Science &amp; Solution Design. This role is located at Chennai. If you are ready to work alongside World Renowned Technology experts, and carry the skills below, this is the opportunity that will inevitably take your career to unbelievable levels! 
 
Experience: 3&ndash;5 years (Minimum 3 years of relevant experience in Data Science). 
 
About the Role: 
We are seeking a Data Science Lead who can design, develop, and deploy scalable analytical and heuristic 
solutions for business challenges. The role requires strong hands-on technical expertise, strategic 
solutioning, and the ability to engage with both internal and client stakeholders. This position combines 
leadership, individual contribution, and client-facing responsibilities. 
Key Responsibilities: 
<ul><li>Lead the design and development of data science solutions, including predictive, optimization, and</li></ul>
heuristic frameworks. 
<ul><li>Build, validate, and deploy machine learning models at scale across varied business use cases.</li><li>Develop and implement ML pipelines with MLOps best practices.</li><li>Work on complex problem statements including knowledge clustering, optimizers, and time series</li></ul>
forecasting. 
<ul><li>Collaborate with internal teams and present solution approaches, intellectual frameworks, and designs to</li></ul>
client teams. 
<ul><li>Work hands-on with Python for data preparation, modeling, and automation.</li><li>Ensure deployment and integration of models across different cloud platforms.</li><li>Mentor and guide interns and junior data scientists, fostering analytical thinking and solution ownership.</li><li>Balance responsibilities as an individual contributor and a team lead, ensuring quality and timely delivery.</li><li>Communicate and explain analytical approaches and frameworks effectively to both internal leadership</li></ul>
and external clients. 
 
Key Requirements:
<ul><li>Strong Python skills and hands-on experience in building ML models at scale.</li>
<li>Experience with ML, MLOps, and deploying models across cloud platforms (AWS, Azure, GCP).</li>
<li>Strong knowledge in clustering, optimizers, time series forecasting, and heuristic frameworks.</li>
<li>Ability to design solutions, develop analytical frameworks, and work on complex problem statements independently.</li>
<li>Strong communication skills and ability to explain approach and frameworks to clients and internal leadership.</li>
<li>Leadership capabilities &ndash; able to mentor and manage junior team members, while also being an individual contributor.</li>
</ul>
WHAT&rsquo;S IN IT FOR YOU?
<ul><li>Medical Insurance</li>
<li>Paid Holidays</li>
<li>Sick Leaves</li>
</ul>
WHO ARE WE? 
 
CEdge Software Consultants is an innovative IT consulting firm, and a strategic business partner. We offer IT solutions to Federal and State government, as well as Commercial Enterprises throughout the United States &amp; India. Our main objective is to create an integrity-based culture that takes pride in working as a collaborative team that focuses on growth and is driven by the desire to provide purely ethical services for both our clients and teammates.</div>

Data Science & Solution Design

QuantumBricks Inc

Job Title: Senior Data Scientist (Remote)Experience Required: 7+ YearsLocation: Remote (Global/India-based candidates preferred)Employment Type: RemoteJob Summary:We are seeking a highly experienced Senior Data Scientist to join our remote analytics and AI team. The ideal candidate will have over 7 years of experience applying statistical modeling, machine learning, and data-driven insights to solve complex business problems. You will collaborate with cross-functional teams &mdash; including product managers, data engineers, and business stakeholders &mdash; to design, implement, and deploy scalable data science solutions.Key Responsibilities:<ul><li>Lead end-to-end data science projects from business understanding to model deployment.</li><li>Design, build, and evaluate machine learning and predictive models using Python, R, or similar tools.</li><li>Work with large-scale structured and unstructured data from multiple sources.</li><li>Implement data cleaning, feature engineering, and exploratory data analysis (EDA) techniques.</li><li>Deploy models into production using ML pipelines, APIs, or cloud services (AWS, Azure, GCP).</li><li>Present actionable insights and model outcomes to technical and non-technical stakeholders.</li><li>Collaborate with data engineering teams to ensure robust data pipelines and high-quality datasets.</li><li>Stay current with emerging technologies in AI, NLP, Deep Learning, and Generative AI.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.</li><li>7+ years of professional experience in data science or applied machine learning.</li><li>Proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) or R.</li><li>Strong background in statistical modeling, hypothesis testing, and data visualization (Power BI, Tableau, Matplotlib, Seaborn).</li><li>Experience with SQL, NoSQL, and data extraction from APIs or cloud storage.</li><li>Hands-on experience with cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI).</li><li>Excellent problem-solving, communication, and stakeholder management skills</li></ul>Job Types: Full-time, Permanent, FreelancePay: &#8377;1,062,768.14 - &#8377;5,050,868.08 per yearBenefits:<ul><li>Work from home</li></ul>Work Location: Remote

Senior Data Scientist

Systems Limited - Egypt

<div>
 
 
 Job Description:
 
 
 
 We are looking for a
 
 senior data scientist
 
 with strong leadership and hands-on technical skills to join our team in the
 
 banking sector
 
 . The ideal candidate will be responsible for developing and deploying machine learning solutions that address real business challenges, leading analytical initiatives from concept to production, and mentoring junior team members.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Lead end-to-end
 
 data science projects
 
 &mdash;from business understanding and data preparation to model development, validation, and deployment.
 </li>
 <li>
 Design and implement
 
 machine learning and deep learning models
 
 for various banking use cases (credit scoring, fraud detection, customer segmentation, etc.).
 </li>
 <li>
 Deploy and maintain models in
 
 production environments,
 
 ensuring scalability, reliability, and performance.
 </li>
 <li>
 Build automated
 
 model pipelines
 
 , monitor performance, and manage
 
 model drift detection
 
 and retraining.
 </li>
 <li>
 Apply
 
 Explainable AI (XAI)
 
 methods to interpret model decisions and ensure regulatory transparency.
 </li>
 <li>
 Collaborate with cross-functional teams&mdash;data engineering, business analytics, and IT &mdash; to translate business needs into data-driven solutions.
 </li>
 <li>
 Ensure best practices in
 
 MLOps
 
 , version control, and CI/CD for machine learning systems.
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree
 
 in computer science, information technology, computer engineering, or a related field.
 </li>
 <li>
 
 4+ years of experience
 
 in data science or applied machine learning, preferably in the
 
 banking or financial services domain
 
 .
 </li>
 <li>
 Proficiency in
 
 Python (NumPy, Pandas)
 
 or
 
 R
 
 , and strong
 
 SQL
 
 skills.
 </li>
 <li>
 Expertise with ML/DL frameworks:
 
 Scikit-Learn, TensorFlow, PyTorch, Keras, and Hugging Face
 
 .
 </li>
 <li>
 Hands-on experience with
 
 model deployment
 
 in production environments (not only experimentation).
 </li>
 <li>
 Skilled in
 
 MLflow, Kubeflow, Docker, Kubernetes
 
 , and implementing
 
 CI/CD
 
 pipelines.
 </li>
 <li>
 Experience implementing
 
 performance tracking, monitoring, and drift detection
 
 for models.
 </li>
 <li>
 Strong understanding of
 
 statistical modeling, data visualization, and feature engineering
 
 .
 </li>
 <li>
 Excellent communication skills in
 
 both Arabic and English
 
 .
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 
 Master&rsquo;s Degree or Diploma
 
 in Data Science, Statistics, Applied Mathematics, or a related field.
 </li>
 <li>
 Experience working on
 
 AI governance, compliance, and explainability
 
 within banking environments.
 </li>
 </ul>
 
 
</div>

Cognizant Technology Solutions

<div>Job Summary
The Sr Manager-Data Science will play a pivotal role in driving data-driven decision-making processes within the organization. With a focus on the Payer domain the candidate will leverage their extensive experience in Data Science to enhance business strategies and outcomes. This hybrid role requires a seasoned professional with a deep understanding of data analytics machine learning and statistical modeling to lead and innovate in a dynamic environment. 
Responsibilities<ul><li>
Lead the data science team to develop innovative solutions that enhance business strategies in the Payer domain.</li><li>
Oversee the design and implementation of data models and algorithms to solve complex business problems.</li><li>
Provide strategic insights by analyzing large datasets and identifying trends and patterns.</li><li>
Collaborate with cross-functional teams to integrate data science solutions into business processes.</li><li>
Ensure the accuracy and reliability of data-driven insights by maintaining high standards of data quality.</li><li>
Drive the adoption of advanced analytics and machine learning techniques across the organization.</li><li>
Develop and maintain dashboards and reports to communicate findings to stakeholders.</li><li>
Mentor and guide junior data scientists to foster a culture of continuous learning and improvement.</li><li>
Evaluate and implement new data science tools and technologies to enhance team capabilities.</li><li>
Work closely with IT and data engineering teams to ensure seamless data integration and accessibility.</li><li>
Monitor industry trends and advancements in data science to keep the organization at the forefront of innovation.</li><li>
Establish best practices for data governance and security to protect sensitive information.</li><li>
Contribute to the companys purpose by using data science to improve healthcare outcomes and efficiencies.</li></ul> 
Qualifications<ul><li>
</li><li>Possess a strong background in data science with a minimum of 16 years of experience in the field.</li><li>
Demonstrate expertise in the Payer domain with a deep understanding of industry-specific challenges and opportunities.</li><li>
Exhibit proficiency in machine learning statistical modeling and data analytics.</li><li>
Have experience in leading and managing data science teams in a hybrid work model.</li><li>
Show capability in collaborating with cross-functional teams to drive data-driven decision-making.</li><li>
Display strong problem-solving skills and the ability to translate complex data into actionable insights.</li></ul></div>

Sr Manager-Data Science

<div></div><div><div><div><div><ul><div>5 - 7 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore</div></ul></div><div> 
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader">Role description</h3>
<div>Essential Requirements Solid experience in a related role or equivalent,

 skill/education; must include deep knowledge of data science principles. 5-8 years Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment Ability to work with internal stakeholders to transfer business questions into quantitative problem statements Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus Desirable Requirements Master&rsquo;s or PhD in a quantitative discipline. Ability to act as a coach to the team and strong product/technology/industry knowledge</div>
<h3 class="jobSectionHeader">Skills</h3>
<div>Python,SQL ,Machine Learning</div></div></div></div>
 <div><h3 class="jobSectionHeader">About UST</h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Data Scientist( Machine Learning, Python, SQL, Gen AI)

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Data Scientist( Machine Learning, Python, SQL, Gen AI)