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business analytics analyst

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Definitive Healthcare

<div>
 Analytical Wizards is part of the Definitive Healthcare family. We balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what&rsquo;s now to what&rsquo;s next by unlocking the value of their data and applications to solve their challenges, achieving outcomes that benefit both business and society. Our people are our biggest asset, they drive our innovation advantage and we strive to offer a flexible and collaborative workplace where they can thrive. We offer industry-leading benefits packages to promote a creative and inclusive culture. If driving real change gives you a sense of pride and you are passionate about powering social good, we&rsquo;d love to hear from you.
 
 
 
 Role
 
 : Data Scientist / Senior Data Scientist
 
 
 
 Reports to
 
 : Associate Principal / Principal
 
 
 
 Profession
 
 : Data Science
 
 
 
 Office Location
 
 : Bangalore
 
 
 
 Job Description
 
 
 
 This position requires strong coding skills and experience in data handling and wrangling using Python. The candidate will work hands-on with projects in areas such as advanced analytics, generating reports and metrics from large, complex datasets, and solution workbenches. The role involves using a wide range of quantitative and analytical techniques to support clients in improving their business decisions.
 
 
 Additionally, the candidate will be involved in sales and marketing projects, including multi-channel marketing effectiveness, campaign performance analysis, marketing mix modeling, attribution, conversion rate optimization, segmentation, response modeling, and designing experiments (test/control analysis).
 
 
 The ideal candidate should have the ability to understand business contexts and apply relevant statistical and AI/ML tools and techniques to assigned projects. They should also have a keen aptitude for deriving insights from data, a willingness to learn data-handling tools and methods, and an openness to working within the healthcare domain. Familiarity with, or the ability to quickly learn, quantitative and analytical techniques to aid client decision-making is essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Expertise in custom projects focused on prescription and claims-based reporting and modeling using
 </li>
 <li>
 Partner with the Product and Customer Success teams to deliver informed analyses to customers.
 </li>
 <li>
 Create deliverables to assist with customer engagements.
 </li>
 <li>
 Collaborate with fellow team members to implement optimized solutions.
 </li>
 <li>
 Contribute to internal projects and processes.
 </li>
 <li>
 Collaborate with global team to create deliverables.
 </li>
 <li>
 Mentor junior analysts and help drive best practices.
 </li>
 <li>
 Independently scope client requests
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Data Experts with approximately 2 - 5 years of experience specializing in Python
 </li>
 <li>
 Educational background in Engineering, Operations Research, Econometrics and/or Statistics
 </li>
 <li>
 Hands-on experience with Python is mandatory.
 </li>
 <li>
 Must possess good interpersonal skills along with excellent presentation and communication skills.
 </li>
 <li>
 Proficient in Microsoft Excel and SQL.
 </li>
 <li>
 Ability to work with large data, think out of the box, assess current processes and offer ideas for improvement.
 </li>
 <li>
 Knowledge of Pharma datasets is good to have.
 
 
 </li>
 </ul>
 
 ISMS Responsibilities
 
 
 
 <ul>
 <li>
 Comply with information security policies and processes
 </li>
 <li>
 Report security weaknesses, events or potential events, or other security risks, to the organization
 </li>
 <li>
 Execute all tasks related to information security management system as appropriate
 
 
 </li>
 </ul>
 
 Why we love Analytical Wizards, and why you will too!
 
 
 
 <ul>
 <li>
 Industry leading products
 </li>
 <li>
 Work hard, and have fun doing it
 </li>
 <li>
 Incredibly fast growth means limitless opportunity
 </li>
 <li>
 Flexible and dynamic culture
 </li>
 <li>
 Work alongside some of the most talented and dedicated teammates
 </li>
 <li>
 A collaborative and friendly culture with very high employee engagement
 
 
 </li>
 </ul>
 
 About Company
 
 
 
 <ul>
 <li>
 Company Name: AnalyticalWizards Services Pvt. Ltd.
 </li>
 <li>
 Profile: A leading, high growth Analytics Software Development company developing products that touch and positively impact human lives across the globe. We are headquartered in New Jersey and have a software development and delivery center in Bangalore. Our work is mainly focused on Healthcare Industry. We develop core data science products that help our clients draw unique insights from their big data and achieve their business goals. We use advanced algorithms in the space of artificial intelligence and machine learning. Our technology-based software products are being used by the top pharma and biotechnology companies of the world. We have been recognized twice as one of fastest growing private companies of USA.
 </li>
 <li>
 Work Culture: Employee-friendly, collaborative, innovative, fast-paced, and conducive to learning
 </li>
 <li>
 Company Address: AnalyticalWizards Services Private Limited, Fortune Summit Business Park, Ground Floor, Hosur Road, Sector 6, HSR Layout, Roopena Agrahara, Bangalore - 560068
 </li>
 <li>
 Industry: Software Development and Data Science
 </li>
 </ul>
</div>

Data Scientist/Sr. Data Scientist-Data Science-AA&I

HiLabs

<div>
 
 
 The HiLabs Story
 
 
 
 
 HiLabs is a leading provider of AI-powered solutions to clean dirty data, unlocking its hidden potential for healthcare transformation. HiLabs is committed to transforming the healthcare industry through innovation, collaboration, and a relentless focus on improving patient outcomes.
 
 
 
 
 HiLabs Team
 
 
 
 
 <ul>
 <li>
 Multidisciplinary industry leaders
 </li>
 <li>
 Healthcare domain experts
 </li>
 <li>
 AI/ML and data science experts
 </li>
 <li>
 Professionals hailing from the worlds best universities, business schools, and engineering institutes including Harvard, Yale, Carnegie Mellon, Duke, Georgia Tech, Indian Institute of Management (IIM), and Indian Institute of Technology (IIT).
 
 
 </li>
 </ul>
 As a Data Scientist at HiLabs, you will partner closely with a team of stake holders, product managers, and data engineers to solve real problems in healthcare domain. HiLabs is looking for great problem solvers who can tap into the potential of data and deliver scalable and robust data products. Our potential member would work on developing and implementing machine learning algorithms for various HiLabs Products and Solutions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Leveraging AI/ML techniques and solutions to identify and mathematically interpret complex healthcare problems.
 </li>
 <li>
 Deploy and optimize machine learning solutions on massive datasets using big data technologies.
 </li>
 <li>
 Develop and prototype AI algorithms and software tools.
 </li>
 <li>
 Implement enhancements to existing algorithmic/deep learning solutions.
 </li>
 <li>
 Conduct quantitative data analysis using a variety of datasets.
 </li>
 <li>
 Increase the efficiency and improve the quality of solutions offered.
 </li>
 <li>
 Understand business use cases and pull the necessary data from various sources to provide key insights to stakeholders. Build and deploy additional functionalities as per client requirements.
 </li>
 <li>
 Leverage recent advances in machine learning technologies and oversee the team&rsquo;s training.
 </li>
 <li>
 For Lead/Sr. Data Scientists-Lead a team of Data Scientists, developers as well as clinicians to strategize, design and evaluate AI based solutions to healthcare problems.
 
 
 </li>
 </ul>
 Desired Profile:.
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree/Master&rsquo;s Degree in Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Computer Engineering or related fields from tier 1 college.
 </li>
 <li>
 Hands-on Software Development Skills (Scala-Preferred).
 </li>
 <li>
 Experience or educational courses/projects in Machine Learning, and/or Text Mining Algorithms.
 </li>
 <li>
 Knowledge of statistical techniques, linear algebra, numerical optimization.
 </li>
 <li>
 Knowledge of ML theory such as bias variance tradeoff, regularization, loss functions and experienced in A/B testing.
 </li>
 <li>
 Know all the general best practices of Machine Learning.
 </li>
 <li>
 Ability to work closely with Domain experts to develop tools/algorithms needed to answer research questions in their studies.
 </li>
 <li>
 Excellent Communication Skills (with the ability to explain developed tools and ML algorithms to a non-technical audience).
 </li>
 <li>
 Ability to formulate operational problems in healthcare domain as technical problems that allows for reuse of leading research in the area.
 </li>
 <li>
 Proven ability to work independently to learn new technologies, techniques, processes, languages, platforms, systems.
 </li>
 <li>
 Strong analytical, inferential, critical thinking, and creative problem-solving skills.
 </li>
 <li>
 Self-starter with ability to work both independently and with a team.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with Deep Learning Frameworks such as Keras, Tensorflow, PyTorch,Mxnet etc.
 </li>
 <li>
 Experience with interpretability of deep learning models.
 </li>
 <li>
 Big Data Skills (Hadoop, Spark, recent deep learning platforms).
 </li>
 <li>
 Experience with text mining tools and techniques including in areas of summarization, search (e.g. ELK Stack), entity extraction, training set generation (e.g. Snorkel) and anomaly detection.
 </li>
 <li>
 Expert software development skills including developing and maintaining production quality code
 
 
 </li>
 </ul>
 
 
 HiLabs Total Rewards
 
 
 
 
 Competitive Salary, Accelerated Incentive Policies, H1B sponsorship, Comprehensive benefits package that includes ESOPs, financial contribution for your ongoing professional and personal development, medical coverage for you and your loved ones, 401k, PTOs &amp; a collaborative working environment, Smart mentorship, and highly qualified multidisciplinary, incredibly talented professionals from highly renowned and accredited medical schools, business schools, and engineering institutes.
 
 
 CCPA disclosure notice - https://www.hilabs.com/privacy
</div>

Data Scientist

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 Job Description: EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

EY - GDS Consulting - AI and DATA -Gen AI - Senior

<div>
 At EY, you&rsquo;ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we&rsquo;re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
 
 
 
 EY GDS &ndash; Data and Analytics (D&amp;A) &ndash; Senior &ndash; Senior Data Scientist
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
 
 
 Responsibilities:
 
 
 
 
 Your technical responsibilities:
 
 
 
 <ul>
 <li>
 Contribute to the design and implementation of state-of-the-art AI solutions.
 </li>
 <li>
 Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
 </li>
 <li>
 Collaborate with stakeholders to identify business opportunities and define AI project goals.
 </li>
 <li>
 Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
 </li>
 <li>
 Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
 </li>
 <li>
 Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
 </li>
 <li>
 Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
 </li>
 <li>
 Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
 </li>
 <li>
 Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
 </li>
 <li>
 Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
 </li>
 <li>
 Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
 </li>
 <li>
 Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
 </li>
 <li>
 Ensure compliance with data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
 </li>
 <li>
 Minimum 3-7 years of experience in Data Science and Machine Learning.
 </li>
 <li>
 In-depth knowledge of machine learning, deep learning, and generative AI techniques.
 </li>
 <li>
 Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
 </li>
 <li>
 Familiarity with computer vision techniques for image recognition, object detection, or image generation.
 </li>
 <li>
 Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
 </li>
 <li>
 Expertise in data engineering, including data curation, cleaning, and preprocessing.
 </li>
 <li>
 Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
 </li>
 <li>
 Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
 </li>
 <li>
 Understanding of data privacy, security, and ethical considerations in AI applications.
 </li>
 <li>
 Track record of driving innovation and staying updated with the latest AI research and advancements.
 
 
 </li>
 </ul>
 
 Good to Have Skills:
 
 
 
 <ul>
 <li>
 Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
 </li>
 <li>
 Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
 </li>
 <li>
 Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
 </li>
 <li>
 Implement CI/CD pipelines for streamlined model deployment and scaling processes.
 </li>
 <li>
 Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
 </li>
 <li>
 Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
 </li>
 <li>
 Implement monitoring and logging tools to ensure AI model performance and reliability.
 </li>
 <li>
 Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
 </li>
 <li>
 Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.
 
 
 </li>
 </ul>
 
 EY | Building a better working world
 
 
 
 EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.
 
 
 Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
 
 
 Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
</div>

A.P. Moller - Maersk

<div>
 
 Job - Data Scientist (4+ yrs)
 
 
 Location- Bengaluru/Pune
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Perform exploratory data analysis and various data analysis
 </li>
 <li>
 Build robust data pipeline jobs
 </li>
 <li>
 Design, implement and monitor Machine Learning models
 </li>
 <li>
 Conduct A/B testing
 </li>
 <li>
 Collaborate with cross-functional teams
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 :
 
 
 <ul>
 <li>
 Proficiency in Python.
 </li>
 <li>
 Bachelors's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Strong proficiency in data analytics and statistical analysis
 </li>
 <li>
 Excellent problem-solving skills and ability to deliver actionable insights.
 </li>
 <li>
 Strong communication skills and ability to collaborate effectively with cross-functional teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Proficiency in PySpark and SQL
 </li>
 <li>
 Master's degree in Mathematics, Statistics, or a related field.
 </li>
 <li>
 Experience building interactive dashboards by e.g. Dash or Streamlit.
 </li>
 <li>
 Experience with a code-based data orchestration framework such as Airflow, Luigi, Dagster or similar
 </li>
 <li>
 Knowledge of MLOps.
 
 
 </li>
 </ul>
 Maersk is committed to a diverse and inclusive workplace, and we embrace different styles of thinking. Maersk is an equal opportunities employer and welcomes applicants without regard to race, colour, gender, sex, age, religion, creed, national origin, ancestry, citizenship, marital status, sexual orientation, physical or mental disability, medical condition, pregnancy or parental leave, veteran status, gender identity, genetic information, or any other characteristic protected by applicable law. We will consider qualified applicants with criminal histories in a manner consistent with all legal requirements.
 
 
 We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com.
</div>

Juego Studios

<div>
 
 
 Job Description: Data Research Specialist &ndash; B2B Leads
 
 
 
 
 Location:
 
 
 
 Bangalore, India
 
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled Data Research Specialist who can leverage advanced AI, data science, and automation to identify, enrich, and deliver high-quality B2B leads. This role is integral to enhancing our sales pipeline by providing actionable intelligence, predictive insights, and accurate datasets for our business development and marketing teams.
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 - Lead Identification &amp; Enrichment: Research and build high-quality B2B lead databases using AI/ML-based tools, web scraping frameworks, and third-party APIs. Enrich and validate prospect data (e.g., firmographics, technographics, buying signals) from multiple data sources like LinkedIn, Crunchbase, ZoomInfo, and industry directories.
 </li>
 <li>
 - Data Analysis &amp; Predictive Modeling: Apply machine learning techniques to score and prioritize leads based on historical performance. Conduct trend analysis to refine Ideal Customer Profiles (ICP) and suggest new target segments.
 </li>
 <li>
 - Automation &amp; Tool Development: Build and maintain Python scripts or automated pipelines for large-scale data scraping and cleaning. Evaluate and integrate LLM-based tools (e.g., LangChain, OpenAI APIs) for intelligent data extraction and enrichment.
 </li>
 <li>
 - Collaboration &amp; Reporting: Partner with Sales and Marketing teams to align data research efforts with campaign goals. Deliver dashboards and insight reports (Power BI, Tableau, or similar) to track lead quality, conversion trends, and market opportunities. Support A/B testing of targeting strategies and provide data-driven recommendations.
 </li>
 <li>
 - Compliance &amp; Data Integrity: Ensure adherence to data privacy regulations (GDPR, Indian DPDP Act) and ethical AI usage. Maintain data hygiene and prevent duplication across CRM systems like Salesforce or HubSpot.
 </li>
 </ul>
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 - Bachelor&rsquo;s/Master&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field.
 </li>
 <li>
 - 3&ndash;5 years of experience in B2B lead research, sales intelligence, or data analytics roles.
 </li>
 <li>
 - Proven expertise in Python/R for data scraping, cleaning, and analysis.
 </li>
 <li>
 - Experience with web scraping tools like BeautifulSoup, Scrapy, or Selenium.
 </li>
 <li>
 - Proficiency with data visualization platforms (Power BI, Tableau) and CRM systems (HubSpot, Salesforce).
 </li>
 <li>
 - Knowledge of machine learning frameworks (Scikit-learn, TensorFlow, or PyTorch) for predictive modeling.
 </li>
 <li>
 - Familiarity with Gen-AI/LLM tools (e.g., ChatGPT API, Hugging Face models) for data enrichment and summarization.
 </li>
 </ul>
 
 
 Preferred Skills (Nice-to-Have):
 
 
 <ul>
 <li>
 - Experience with vector databases or embedding-based search for advanced prospect matching.
 </li>
 <li>
 - Familiarity with marketing automation platforms (Marketo, Pardot).
 </li>
 <li>
 - Understanding of big data frameworks (Spark, Hadoop) for large-scale processing.
 </li>
 <li>
 - Knowledge of industry-specific B2B sales cycles (SaaS, gaming, IT services).
 </li>
 </ul>
 
 
</div>

Data Research Analyst

Brillio

<div>
 
 Data Scientist
 
 
 
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Classification (Decision Trees, SVM), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Great Expectation, Evidently AI, Hypothesis Testing, ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Probabilistic Graph Models, Python/PySpark, R/ R Studio, Regression (Linear, Logistic), SAS/SPSS, Statistical analysis and computing, Tools(KubeFlow, BentoML), T-Test, Z-Test
 
 
 </li>
 </ul>
 Specialization
 
 
 <ul>
 <li>
 Data Science Advanced: Data Specialist
 
 
 </li>
 </ul>
 Job requirements
 
 
 <ul>
 <li>
 Key Responsibilities: Develop and implement time series forecasting models to predict future trends, demand, and performance metrics. Leverage statistical methods, machine learning, and deep learning techniques for accurate forecasting. Work with large datasets from multiple sources and clean, process, and transform data for modeling purposes. Analyze historical data patterns and trends to identify key drivers of future outcomes. Perform data validation, anomaly detection, and ensure data integrity. Collaborate with business and technical teams to understand forecasting needs and ensure models align with business objectives. Communicate findings, insights, and predictions to both technical and non-technical stakeholders. Continuously optimize and improve forecasting models by experimenting with new algorithms, tools, and techniques. Use forecasting models to drive business decisions related to supply chain, demand planning, inventory, and more. Document processes, models, and code to ensure scalability and reproducibility. Key Requirements: Education: Bachelor's or Master&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Experience: 5-6 years of experience in data science with a focus on time series forecasting. Proficiency in Python or R for data analysis and modeling. Strong knowledge of time series forecasting techniques such as ARIMA, SARIMA, ETS, Prophet, or LSTM. Experience with machine learning algorithms and statistical analysis. Familiarity with tools like SQL, Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Experience working with large datasets and data pipelines in a cloud-based environment (AWS, Azure, or GCP). Strong problem-solving skills and the ability to interpret complex data. Excellent communication and presentation skills to translate complex data findings into actionable insights for business teams.
 </li>
 </ul>
</div>

Data Scientist - R01542454

Explore 440+ Data science specialist in Mangaluru this November. Find roles across top companies and apply now to boost your career.

440 data science specialist jobs IN Mangaluru

Data Scientist/Sr. Data Scientist-Data Science-AA&I

Data Scientist

EY - GDS Consulting - AI and DATA -Gen AI - Senior

EY - GDS Consulting - AI and DATA -Gen AI - Senior

Data Scientist

Data Research Analyst

Data Scientist - R01542454