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LTIMindtree

<div>
 <p>
  <strong>
   <u>
    Data Scientist - GENAI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Secondary Skills &ndash;
  </strong>
  NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Hiring Location
   </u>
  </strong>
  : PAN India
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities for Data Scientist:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
  </li>
  <li>
   Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
  </li>
  <li>
   Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  </li>
  <li>
   Develop custom models and algorithms to apply to data sets.
  </li>
  <li>
   Use predictive modelling to increase and optimize customer experiences.
  </li>
  <li>
   Coordinate with different functional teams to implement models and monitor outcomes.
  </li>
  <li>
   Analyse large amounts of information to discover trends and patterns.
  </li>
  <li>
   Build predictive models and machine-learning algorithms.
  </li>
  <li>
   Present information using data visualization techniques .
  </li>
  <li>
   Good to have a knowledge of ML lifecycle and model governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications for Data Scientist
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    <u>
     Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
    </u>
   </strong>
  </li>
  <li>
   Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
  </li>
  <li>
   Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
  </li>
  <li>
   Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  </li>
  <li>
   Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  </li>
  <li>
   Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  </li>
  <li>
   Experience visualizing/presenting data for stakeholders
  </li>
  <li>
   Experience with Snowflake will be an added advantage
  </li>
  <li>
   Experience in deployment of machine learning models using cloud technologies"
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

Ikigai Labs

<div><p><b>Company Description</b></p><p>
The Ikigai platform unlocks the power of generative AI for tabular data. We enable business users to connect disparate data, leverage no-code AI/ML, and build enterprise-wide AI apps in just a few clicks. Ikigai is built on top of its three proprietary foundation blocks developed from years of MIT research - aiMatch, for data reconciliation, aiCast, for prediction, and aiPlan, for scenario planning and optimization. Our platform enables eXpert-in-The-Loop (XiTL) for model reinforcement learning and refinement, at scale.</p><p>
Rooted in academia, Ikigai also offers unmatched educational support that upskills workforces and transforms organizations into AI-driven ones. Ikigai Academy has already trained over 6000 students from 90+ countries on topics like &ldquo;No Code AI&rdquo; and &ldquo;Time Series Forecasting&rdquo;.</p><p><b>
Role Description:</b></p><p>
We are seeking a Data Scientist who thrives at the intersection of data transformation, analytics, and implementation. In this role, the Data Scientist will partner directly with clients to prepare, clean, and transform their data so it can seamlessly integrate with our aiCast platform. This Data Scientist will help customers unlock the value of their data&mdash;building pipelines, dashboards, and forecasts&mdash;and in many cases, own the end-to-end implementation from ingestion through delivery.</p><p>
This Data Scientist position is centered on data engineering, applied analytics, and client enablement. You&rsquo;ll play a key role in helping customers get from raw data to actionable insights.</p><p><b>
Responsibilities:</b></p><ul><li><p>
Collaborate with client teams to understand their data sources, structures, and business requirements.</p></li><li><p>
Design and implement data transformation pipelines to prepare data for aiCast ingestion.</p></li><li><p>
Build reporting and dashboarding solutions to help clients interpret and act on their data.</p></li><li><p>
Develop forecasting and analytics workflows to extend client use cases beyond data prep.</p></li><li><p>
Support end-to-end solution delivery&mdash;covering extraction, transformation, validation, and deployment&mdash;when applicable.</p></li><li><p>
Troubleshoot data quality issues and provide recommendations for improved structures or processes.</p></li><li><p>
Partner with internal engineering and success teams to ensure smooth implementations and knowledge transfer.</p></li></ul><p><b>
Qualifications:</b></p><ul><li><p>
At least 1-3 years of experience in a data role, preferably with enterprise clients</p></li><li><p>
Associate&rsquo;s or Bachelor&rsquo;s degree in a relevant field (e.g., Computer Science, Statistics, or Applied Mathematics) preferred</p></li><li><p>
Proficiency in Python, including libraries like NumPy and Pandas for data transformation.</p></li><li><p>
Working knowledge of SQL for querying and joining datasets (intermediate level).</p></li><li><p>
Experience building ETL/ELT pipelines or similar data processing workflows.</p></li><li><p>
Familiarity with data visualization, reporting, or dashboarding tools.</p></li><li><p>
Strong problem-solving skills with a focus on client outcomes and practical implementation.</p></li><li><p>
Ability to work with incomplete or messy data and structure it for usability in production systems.</p></li><li><p>
Excellent communication skills for translating technical work into business impact.</p></li></ul><p><b>
Preferred Skills:</b></p><ul><li><p>
Knowledge of data transformation (e.g. using python Pandas library) database management, data integration, or data visualization is a plus</p></li><li><p>
Experience with forecasting techniques or applied time-series analytics.</p></li><li><p>
Background in client-facing or consulting roles where you owned implementation delivery.</p></li><li><p>
Understanding of software engineering best practices (version control, testing, deployment).</p></li></ul><p><br>
Ikigai Labs is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry or citizenship, ethnicity, disability, military or protected veteran status, genetic information, sexual orientation, marital or familial status, or any other personal characteristic protected under applicable law.</p><p></p><p>
</p><p>HmVH9C0CBV</p></div>

<div>
 <p>
  <strong>
   <u>
    Data Scientist - GENAI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a Data Scientist who will support building AI tools for customers. The candidate should be skilled at using large data sets to find opportunities for product and process optimization. The candidate must have a proven ability to drive business results with their data-based insights. The candidate must be comfortable working with a wide range of stakeholders and functional teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Primary Skills &ndash; Data Science, Python, AI, ML (Machine Learning) Gen AI &ndash; Generative AI
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Secondary Skills &ndash;
  </strong>
  NLP, LLM, Deep Learning, Cloud (AWS/Cloud)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Responsibilities for Data Scientist:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Work with stakeholders to identify opportunities for leveraging data to drive business solutions.
  </li>
  <li>
   Mine and analyse data from databases to drive optimization and improvement of product development and business strategies.
  </li>
  <li>
   Assess the effectiveness and accuracy of new data sources and data gathering techniques.
  </li>
  <li>
   Develop custom models and algorithms to apply to data sets.
  </li>
  <li>
   Use predictive modelling to increase and optimize customer experiences.
  </li>
  <li>
   Coordinate with different functional teams to implement models and monitor outcomes.
  </li>
  <li>
   Analyse large amounts of information to discover trends and patterns.
  </li>
  <li>
   Build predictive models and machine-learning algorithms.
  </li>
  <li>
   Present information using data visualization techniques .
  </li>
  <li>
   Good to have a knowledge of ML lifecycle and model governance.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications for Data Scientist
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    <u>
     Looking for someone with 5-8 years of experience manipulating data sets and building statistical models, having bachelor&rsquo;s or master&rsquo;s degree in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools.
    </u>
   </strong>
  </li>
  <li>
   Experience using statistical computer languages (R, Python etc.) to manage data and draw insights from large data sets.
  </li>
  <li>
   Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, XGBoost, KNN, SVM, ANN, etc.).
  </li>
  <li>
   Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
  </li>
  <li>
   Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  </li>
  <li>
   Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  </li>
  <li>
   Experience visualizing/presenting data for stakeholders
  </li>
  <li>
   Experience with Snowflake will be an added advantage
  </li>
  <li>
   Experience in deployment of machine learning models using cloud technologies"
  </li>
 </ul>
 <p>
 </p>
</div>


PPC Experts

<p>We are hiring Data scientist role</p><p><b>Role: Data Scientist</b></p><p><b>Years of Experience: 5+ yrs</b></p><p><b>Job Description:</b></p><ul><li>Support both new and existing data science initiatives by performing exploratory data analysis, data investigations, and building machine learning models.</li><li>Develop and enhance models for time series forecasting, clustering, and anomaly detection&mdash;key focus areas for our operational use cases.</li><li>Build and optimize OCR and ML models, including supervised, unsupervised, and neural network approaches.</li><li>Contribute to the development and improvement of ML Ops pipelines across platforms such as Unitee, RStudio, and our time series analytics environment.</li><li>Build and support interactive web applications using Dash and Streamlit to operationalize models and provide data-driven insights.</li><li>Develop APIs using Flask or Django to integrate models and services with internal systems.</li><li>Monitor, maintain, and enhance existing Connect apps and ensure they meet model quality and correctness standards.</li><li>Operate within a secure AWS cloud environment, collaborating with data platform and IT teams.</li><li>Use AWS to build and deploy scalable machine learning solutions. Leverage AWS Lambda and other serverless technologies for efficient and scalable data science operations.</li><li>Follow Data Science ways of working, including project documentation and delivery via Jira and Confluence.</li></ul><p><b>Required Skills and Experience:</b></p><ul><li>Proven experience with time series modeling, clustering algorithms, and anomaly detection techniques.</li><li>Strong <b>Python programming skills, with hands-on experience in ML development including time series models, OCR and neural networks.</b></li><li>Experience building and deploying web applications using <b>Dash and/or Streamlit.</b></li><li><b>Proficiency in API development using Flask or Django.</b></li><li>Experience working in <b>AWS, including S3, Lambda, and SageMaker.</b></li><li>Comfortable operating and maintaining data science tools and platforms such as <b>RStudio, RSConnect, and JupyterHub.</b></li><li>Strong collaboration skills and experience working in cross-functional teams.</li></ul><p>Job Type: Full-time</p><p>Benefits:</p><ul><li>Work from home</li></ul><p>Experience:</p><ul><li>Data science: 5 years (Preferred)</li><li>Python: 5 years (Preferred)</li><li>Machine learning: 5 years (Preferred)</li></ul><p>Work Location: Remote</p>

Philips

<div><h3 class="jobSectionHeader"><b>Job Title
</b></h3>Data Scientist
<p></p><h3 class="jobSectionHeader"><b>Job Description<br>
</b></h3><p><br>
<b>Data Scientist<br>
</b></p><p><br>
The Data Scientist is responsible for ensuring data quality, accuracy, and reliability through rigorous validation and cleansing techniques, driving comprehensive quality control measures, working under limited supervision. The role utilizes advanced algorithms and AI, participates in end-to-end data mining projects to extract deep insights from complex data sources. The role deploys and tests data science solutions rigorously, ensuring optimal performance and seamless integration with enterprise systems. The role maintains robust data pipelines and workflows and leverages big data technologies to support advanced analytics projects.<br>
<br>
</p><p><b>Your role:
</b></p><p></p><p>The Patient Safety &amp; Quality Data Scientist applies advanced statistical and machine learning techniques to extract insights from complex datasets, supporting strategic decisions and operational efficiency. The role develops predictive models, creates visualizations using tools such as Python, R, and Palentir, and ensures data accuracy through robust storage and cleansing processes. It also maintains compliance with global data privacy standards (e.g., GDPR, HIPAA) through strong governance and security practices.
</p><p></p><ul><li>Analyzes multifaceted and high-dimensional data problems, developing innovative solutions, formulating sophisticated hypotheses, and creating advanced proof of concepts to validate and refine analytical models.
</li><li>Ensures the highest standards of data quality, accuracy, and reliability by designing and implementing rigorous validation protocols, advanced data cleansing techniques, and comprehensive quality control measures, working under limited supervision.
</li><li>Participates in end-to-end data mining projects, utilizing advanced algorithms, machine learning models, and AI techniques to extract deep and actionable insights from complex, large-scale data sources.
</li><li>Executes the deployment and rigorous testing of data science solutions and insights, ensuring optimal performance, scalability, and seamless integration with existing enterprise systems and workflows.
</li><li>Maintains robust, scalable data pipelines and workflows, leveraging cutting-edge big data technologies and database management systems to support advanced analytics and machine learning projects.
</li><li>Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
</li><li>Evaluates and implements state-of-the-art machine learning and AI techniques, continuously researching and applying novel approaches to solve highly complex business problems and drive strategic innovation within Philips.
</li><li>Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
</li><li>Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
</li>Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.<br>
<li>
<br>
</li></ul><p><b>You're the right fit if:
</b></p><ul><li><p>Bachelor's degree in Computer Science, Statistics, Mathematics, or Data Analytics, Data Science, Data Mining, Artificial Intelligence, Pattern Recognition or equivalent OR no prior experience required with Master's Degree.
</p></li><li><p>6+ years of experience in data analysis, predictive modeling, and data strategy development
</p></li><li><p>Proficiency in programming languages such as <b>SQL </b>and <b>Python
</b></p></li><li><p>Experience with data visualization and analytics tools such as <b>Power BI, R, Databricks, </b>and <b>SAP MES </b>, as well as complaint-management systems like <b>TrackWise </b>.
</p></li><li><p>Hands-on experience with <b>statistical modeling </b>, data mining techniques, unstructured data processing, <b>AI/ML workflows </b>, and large-language-model <b>LLM-based architectures
</b></p></li><li><p>Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategic recommendations
</p></li><li><p>Excellent documentation skills with the ability to clearly communicate complex technical concepts
</p></li><li><p>Excellent communication and interpersonal skills, with the ability to effectively collaborate with stakeholders at all levels of the organization
</p></li><li><p>Ability to work effectively in a fast-paced and dynamic environment
</p></li></ul><p></p><p><b>How we work together
</b><br>
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
</p><p></p><p>Onsite roles require full-time presence in the company&rsquo;s facilities.
<br>
Field roles are most effectively done outside of the company&rsquo;s main facilities, generally at the customers&rsquo; or suppliers&rsquo; locations.
</p><p></p><p>This role is an office-based role.<br>
<br>
</p><div><b>About Philips
</b><br>
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
<br>
<ul><li>Learn more about our business .
</li><li>Discover our rich and exciting history .
</li><li>Learn more about our purpose .
</li></ul>If you&rsquo;re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here .
</div><p>#LI-PHILIN</p></div>

Comscore

<p></p><div><div><ul><li><p>The Data Scientist position is part of the Television Analytics team that provides internal services for building and maintaining the data science methodologies comprising Comscore&rsquo;s projection system for US national television, local television, and cross platform measurement services. This position is expected to have a particularly significant role in Comscore&rsquo;s measurement of Linear Television for both national and local television. In this role, the Data Scientist will work closely with other members of the Television Analytics team and the Technology organization to work with large amounts of tune-level linear television data to build algorithms, tools, and custom projection solutions for precise cross-platform measurement using large-scale data sets in a fast-paced business environment. The Data Scientist will investigate and diagnose potential internally- and externally-facing issues, and develop hypotheses, strategies, visualizations, reports, and recommendations for various data science purposes.</p></li></ul><p></p><p>
Duties &amp; Responsibilities:</p><ul><li><p>
Utilizes software including SQL, Python/R, and UNIX/Linux as well as internal and third-party tools to generate, analyze, and deliver data driven insights.</p></li><li><p>
Interpret results, present findings, and recommend alternative solutions to research management and business decision makers.</p></li><li><p>
Responsible for the timely and error-free operation, production and delivery of syndicated product data. Ensures the integrity and validity of data for On Demand, Linear TV, Digital, and Cross Platform products.</p></li><li><p>
Develop analytical approaches to answer high-level questions and develop insightful recommendations.</p></li><li><p>
Support the research and investigation of client-reported inquiries.</p></li><li><p>
Collaborate with Analytics, Engineering, and Best Practices teams to meet and support business goals.</p></li><li><p>
Develop routine analytical methods; proactively seek out potential solutions to issues.</p></li><li><p>
Provide suggestions to advance and improve methodologies.</p></li><li><p>
Provide complex troubleshooting of analytical methods.</p></li><li><p>
Uses attention to detail and problem-solving skills to find and correct data problems, applying statistical methods to adjust and project results when necessary. Works across teams and functions to drive process improvement initiatives.</p></li><li><p>
Serves as subject matter expert on Comscore's TV methodologies.</p></li></ul><p></p><p>
Qualifications:</p><ul><li><p>
A degree in a quantitatively focused discipline (i.e., Statistics or Economics, Data/Computer Science or Engineering, Systems Engineering, Computation Finance, Operations Research, Mathematics or Physics, etc.).</p></li><li><p>
2-4 years of experience in the synthesis of research findings and making data-driven arguments.</p></li><li><p>
Expertise at querying and manipulating data in preparation for analytics or data visualization using SQL, Spark, R/Python, etc.</p></li><li><p>
Ability to learn complex methodologies quickly and draw on your creative problem-solving skills to achieve results.</p></li><li><p>
Ability to convey complex analytical approaches and findings; writing skills are essential.</p></li><li><p>
Intrinsic ability to look at data and identify patterns, problems, or analysis opportunities.</p></li><li><p>
Ability to multi-task and work with manager to prioritize efficiently to meet deadlines.</p></li><li><p>
Experience with Media Rating Council (MRC) is a plus.</p></li></ul><p></p><p>
Shift:</p><ul><li><p>
The regular hours for this shift will be 2 pm -11 pm IST. Occasionally, earlier or later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required.</p></li></ul><p></p><p>
Benefits</p><ul><li><p>
Medical: Comscore offers a collective Private Medical Insurance scheme which is 100% covered by Comscore.</p></li><li><p>
The benefit is applicable to employees, an employee&rsquo;s spouse, up to two children and parents.</p></li><li><p>
Pension: Provident Fund: Comscore bears both the employee and employer contribution.</p></li><li><p>
Time Off Annual Leave: Comscore offers market competitive annual leave of 26 Annual Leave Days (8 Casual and 18 Privilege), following local guidelines and practices.</p></li><li><p>
National Holidays and Festival Holidays: 10 Days. &bull; Sick Leave: 10 Days. &bull; Additional Leave: Paternity, Bereavement, Marriage, Maternity, Additional Pregnancy / Birth Related Leave</p></li><li><p>
Christmas / New Year Paid Leave, Comscore offers a week of Company paid leave over the Christmas / New Year period.</p></li><li><p>
Summer Hours: Comscore has a culture that rewards employees for their hard work. When you work hard, you need time to recharge and refresh. Early releases on Fridays are subject to manager approval.</p></li><li><p>
Internal Career Development Opportunities (minimum of 6 months tenure in the current position and in discussion with supervisors)</p></li><li><p>
Access to hundreds of professional e-learning courses, specifically created for Comscore</p></li><li><p>
Be creative: You don&rsquo;t have to follow the norm to be successful &ndash; we encourage you to think outside the box. Our culture is built on encouraging innovative ideas, communication and joint success.</p></li><li><p>
Informal Work Atmosphere: We believe in getting the job done in a comfortable, casual environment!</p></li><li><p>
The ability to become a truly global engineer, with exposure to markets across the world. With more than 30 offices around the world, many Comscore teams work together across locations.</p></li></ul><p></p><p>
About Comscore</p><p></p><p>
At Comscore, we&rsquo;re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients &amp; partners. Though our roles and skills are varied, we&rsquo;re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you&rsquo;re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we&rsquo;d love to hear from you. This will be a foundational role on our Pune-based Engineering team during a time of exponential growth for Comscore in Pune. The candidate for this role will be one of the first Engineering hires in Pune and will work with Comscore teams around the world on work vital to the future of Comscore and our clients. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership PAGE 2 intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry&rsquo;s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.</p><p></p><p>
About Comscore:</p><p></p><p><br>
At Comscore, we&rsquo;re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients &amp; partners. Though our roles and skills are varied, we&rsquo;re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you&rsquo;re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we&rsquo;d love to hear from you.</p><p></p><p>
Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry&rsquo;s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com.</p><p></p><p>
Comscore is committed to creating an inclusive culture, encouraging diversity.</p><p></p><ul><li>LI-SS1</li></ul><p></p>
<p></p><p>Data Scientist</p></div></div><p></p>

Qualys

<div><div>Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!</div><div></div><div><div><div>
Job Description</div></div><div><div>
We are seeking a Data Scientist to develop next-generation Security Analytics products. You will work closely with engineers and product managers to prototype, design, develop, and optimize data-driven security solutions.</div></div><div><div>
As a Data Scientist, you will focus on consolidating and analyzing diverse data sources to extract meaningful insights that drive product innovation and process optimization. The ideal candidate has a strong background in quantitative analysis, machine learning, and data-driven decision-making, with experience handling large datasets.</div></div><div><div>
 Responsibilities:</div></div><div><ul><li><div>
Conduct exploratory data analysis (EDA) and apply statistical methods to extract actionable insights from complex datasets.</div></li></ul></div><div><ul><li><div>
Collaborate with Product Management and cross-functional stakeholders to define problem statements, develop solution strategies, and design scalable ML systems.</div></li></ul></div><div><ul><li><div>
Design, develop, and deploy Machine Learning models, including traditional ML, Deep Learning, and Large Language Models (LLMs), to drive business impact.</div></li></ul></div><div><ul><li><div>
Create insightful data visualizations, technical reports, and presentations to communicate findings to technical and non-technical audiences.</div></li></ul></div><div><ul><li><div>
Deploy ML models in production and implement monitoring frameworks to ensure model performance, stability, and continuous improvement.</div></li></ul></div><div><div>
Requirements:</div></div><div><ul><li><div>
2-5 years of experience in Machine Learning projects, including model development, deployment, and optimization.</div></li></ul></div><div><ul><li><div>
BS, MS, or Ph.D. in Computer Science, Statistics, or a related field.</div></li></ul></div><div><ul><li><div>
Strong communication, problem-solving, and analytical skills; a collaborative team player.</div></li></ul></div><div><ul><li><div>
Deep understanding of ML algorithms, their mathematical foundations, and real-world trade-offs.</div></li></ul></div><div><ul><li><div>
Expertise in at least two or more ML domains, including Linear Models, Tree-based Models, Traditional NLP, LLMs, Numerical optimization and Reinforcement Learning.</div></li></ul></div><div><ul><li><div>
Hands-on experience with ML frameworks such as Scikit-Learn, TensorFlow, PyTorch, LangChain etc.</div></li></ul></div><div><ul><li><div>
Strong programming skills in Python and/or Java, R, Go, Scala.</div></li></ul></div><div><ul><li><div>
Experience in SQL, Pandas, and PySpark for efficient data manipulation.</div></li></ul></div><div><ul><li><div>
Familiarity with microservice architectures, CI/CD, MLOps best practices.</div></li></ul></div></div><div></div><div><div><div><br>
Nice to Have:</div></div><div><ul><li><div>
Generative AI: Experience with fine-tuning and optimizing LLMs.</div></li></ul></div><div><ul><li><div>
Familiarity with distributed computing frameworks such as Hadoop, Spark, and OpenSearch.</div></li></ul></div><div><ul><li><div>
Published research in AI/ML in peer-reviewed journals or top conferences (e.g., NeurIPS, ICML, CVPR).</div></li></ul></div><div><ul><li><div>
Prior experience applying AI/ML to cybersecurity use cases.</div></li></ul></div><div><ul><li><div>
Basic proficiency in Unix/Linux environments for scripting and automation.</div></li></ul></div></div></div><div></div>

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