data scientist Jobs in Bangalore Jobs In House Counsel Jobs In Mangaluru

data scientist

data analyst Jobs in Bangalore Jobs In House Counsel Jobs In Mangaluru

data analyst

data engineer Jobs in Bangalore Jobs In House Counsel Jobs In Mangaluru

data engineer

senior data engineer Jobs in Bangalore Jobs In House Counsel Jobs In Mangaluru

senior data engineer

data science trainer Jobs in Bangalore Jobs In House Counsel Jobs In Mangaluru

data science trainer

senior data scientist

Javin Global

<p><b>Job Description &ndash; Senior Data Scientist</b></p><p><b>Role Overview</b><br/>We are looking for a highly skilled <b>Senior Data Scientist</b> to drive data-driven decision-making, build advanced models, and translate complex data into meaningful insights. The ideal candidate has strong hands-on experience with Python/R, SQL, machine learning, and data visualization tools.</p><p><b>Key Responsibilities</b></p><ul><li>Build predictive, classification, clustering, and forecasting models using machine learning and statistical techniques.</li><li>Perform deep exploratory data analysis (EDA) to uncover patterns, trends, and actionable insights.</li><li>Work with SQL databases to extract, prepare, clean, and transform large datasets.</li><li>Develop automated data pipelines and support deployment of ML models into production.</li><li>Create dashboards and visual reports using Tableau, Power BI, or similar tools.</li><li>Communicate analytical findings clearly to technical and non-technical stakeholders.</li><li>Collaborate with Product, Engineering, and Business teams to solve key business problems.</li><li>Mentor junior data team members and contribute to best practices.</li></ul><p><b>Required Skills</b></p><ul><li>Strong programming skills in <b>Python or R</b> for data processing and model building.</li><li>Proficient in <b>SQL</b> and relational database querying.</li><li>Hands-on experience with <b>data visualization tools</b> (Tableau/Power BI).</li><li>Solid understanding of <b>machine learning algorithms</b> and statistical concepts.</li><li>Experience with frameworks like <b>Scikit-learn</b>, and familiarity with <b>TensorFlow/PyTorch</b> is a plus.</li><li>Strong analytical thinking, problem-solving capability, and communication skills.</li></ul><p><b>Preferred Qualifications</b></p><ul><li>Bachelors or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>Experience working with large datasets or Big Data platforms (Spark/Hadoop).</li><li>Exposure to cloud platforms (AWS/GCP/Azure) and MLOps practices.</li><li>Previous experience in building and deploying end-to-end ML solutions.</li></ul><p>Job Type: Full-time</p><p>Pay: &#8377;2,400,000.00 - &#8377;3,000,000.00 per year</p><p>Application Question(s):</p><ul><li>Are you an immediate joiner?</li></ul><p>Experience:</p><ul><li>Data Scientist: 10 years (Preferred)</li></ul>

Senior Data Scientist

Colan Infotech Private Limited

<div>
 <strong>
  Skills:
  <br/>
 </strong>
 Deep Learning, Computer Vision, Image Processing, Machine Learning, TensorFlow, Generative AI,
 <br/>
 <br/>
 Greetings from COLAN INFOTECH PVT LTD.
 <br/>
 <br/>
 We have a significant opening for a Senior Data Scientist role with a focus on Computer Vision.
 <br/>
 <br/>
 Experience: 5years to 10years
 <br/>
 <br/>
 Skills: Deep learning, Computer vision, Image processing, Machine learning, Pytorch, Gen AI
 <br/>
 <br/>
 No of openings: 5
 <br/>
 <br/>
 Interested candidates can drop their CV at: jacksonjohny@colanonline.com
 <br/>
 <br/>
 Please find the JD below
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Role Overview
  <br/>
  <br/>
 </strong>
 We are seeking a highly experienced Senior Data Scientist specializing in Computer Vision and Generative AI to lead cutting-edge R&amp;D and model deployment efforts. You will drive innovation in vision-language and diffusion-based systems, from research prototypes to scalable production-grade pipelines.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Design, train, and optimize deep learning models for image generation, image-to-image translation, and text-to-image synthesis.
 <br/>
 <br/>
 Conduct advanced R&amp;D in Generative-AI, including Diffusion Models, Transformers, VAEs, and GANs.
 <br/>
 <br/>
 Explore Vision-Language and multi-modal learning (text, image, 3D) with models like CLIP, Flamingo, PixArt-, and Qwen2-VL.
 <br/>
 <br/>
 Implement distributed training and model parallelism using PyTorch, Deep Speed, and Hugging Face Accelerate.
 <br/>
 <br/>
 Lead experiments with LoRA, QLoRA, adapters, and parameter-efficient fine-tuning methods.
 <br/>
 <br/>
 Develop evaluation pipelines for visual realism, garment fidelity, and human perceptual quality metrics.
 <br/>
 <br/>
 Collaborate with product and engineering teams to deploy models to production using Triton, Torch Serve, or Fast-API.
 <br/>
 <br/>
 Design automated ML-Ops pipelines for training, evaluation, and deployment (CI/CD, monitoring, retraining).
 <br/>
 <br/>
 Mentor junior ML-engineers and data scientists, ensuring best practices in model reproducibility, experiment tracking, and code quality.
 <br/>
 <br/>
 <strong>
  Required Skills &amp; Experience
  <br/>
  <br/>
 </strong>
 Hands-on experience in applied ML/AI, focusing on Computer Vision and Generative Models.
 <br/>
 <br/>
 Proficiency in image generation, in painting, style transfer, human parsing, and pose estimation.
 <br/>
 <br/>
 Hands-on experience with Stable Diffusion, ControlNet, LoRA fine-tuning, and Hugging Face Diffusers.
 <br/>
 <br/>
 Strong knowledge of architectures such as U-Net, ViT, Transformer-based encoders/decoders, VAE, and GAN variants.
 <br/>
 <br/>
 Expertise in distributed training, data parallelism, and GPU/TPU acceleration.
 <br/>
 <br/>
 Experience with synthetic data generation, texture alignment, and dataset curation pipelines.
 <br/>
 <br/>
 Proven track record of deploying production-grade ML systems (Fast-API, Triton, Torch Serve, or REST APIs).
 <br/>
 <br/>
 Proficient with Python, PyTorch, OpenCV, NumPy, Hugging Face, and WandB/MLflow.
 <br/>
 <br/>
 Interested candidate can drop their CV to: jacksonjohny@colanonline.com
</div>


Lehmann + Pioneers Digital GmbH

<div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>For LPDG India Private Limited</b></h2>
</div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>LPDG India is a part of Brunata Minol-ZENNER group which has more than 4200 Employees worldwide and presence in more than 100 countries. It is a fast-growing digital solutions company, delivering innovative and future-ready services to clients across industries. We have a global clientele, offering opportunities to work on diverse and impactful projects.<br>
<br>
We are currently looking for a skilled and motivated <b>Senior Data Scientist</b>, to join our team.
<br>
<br>
If you are a Solution Consultant who would like to sharpen our portfolio and expand our technology expertise, then LPDG India is looking forward for your application and hopefully welcoming you to the LPDG family.</div>
</div></div></div></div></div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>YOUR PROFILE, YOUR CONVICTION</b></h2>
</div></div><div></div><div><div><h3 class="jobSectionHeader"><b>What you must bring to the role:</b></h3>
</div></div><div></div><div><div><ul><div><div>5+ years of experience in Data Science, working on use cases involving advanced machine learning/statistical modelling/forecasting.</div>
</div><div></div><div><div>Proficiency in Python development and familiarity with major ML frameworks, supported by 5+ years of industry experience.</div>
</div><div></div><div><div>Strong grounding in statistical methodologies, with 5+ years of experience conducting hypothesis testing, A/B testing, and designing experiments.</div>
</div><div></div><div><div>Over 2 years of experience in implementing and optimizing AI/LLM-based solutions, including agentic AI systems for practical business applications.</div>
</div><div></div><div><div>At least 3 years of experience in SQL development, data pipeline design, and working with relational and NoSQL databases.</div>
</div><div></div><div><div>At least 2 years of experience in cloud deployment and MLOps, including building, scaling, and maintaining ML workflows in cloud environments.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>What sets you apart:</b></h3>
</div></div><div></div><div><div><ul><div><div>Experience with Snowflake and modern cloud-based data platforms.</div>
</div><div></div><div><div>Knowledge of deep learning, time series forecasting, and optimization algorithms.</div>
</div><div></div><div><div>Familiarity with graph analytics, network analysis, and related advanced analytical techniques.</div>
</div><div></div><div><div>Exposure to Agile methodologies and project management tools for collaborative development.</div>
</div><div></div><div><div>Relevant certifications such as TensorFlow Developer, AWS Machine Learning Specialty, or Azure Data Scientist Associate (preferred).</div>
</div><div></div><div><div>AWS/GCP/Azure/Snowflake ML Certification or Certified Data Scientist would be highly valued.</div>
</div><div></div><div><div>Experience in training and mentoring juniors/associates.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>What we value in your personality:</b></h3>
</div></div><div></div><div><div><ul><div><div>Excellent problem-solving, analytical thinking, and structured decision-making skills.</div>
</div><div></div><div><div>Strong communication and presentation abilities, with the capability to simplify and explain complex technical concepts to non-technical stakeholders.</div>
</div><div></div><div><div>Collaborative team player with capabilities to mentor juniors/associates in the team and proven client relationship management experience in consulting environments.</div>
</div></ul></div></div><div><div><h3 class="jobSectionHeader"><b>Educational qualification for the role:</b></h3>
</div></div><div></div><div><div><ul><div><div>You must have a master&rsquo;s degree after a 3-year bachelor&rsquo;s program or a 4-year degree in Computer Science / Computer Engineering / related field.</div>
</div></ul></div></div></div></div></div></div><div></div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>OUR OFFER, OUR PROMISE</b></h2>
</div></div><div></div><div><div><ul><div><div>At LPDG India, you&rsquo;ll be part of an agile work environment with a flat hierarchy that encourages ownership and supports a healthy work-life balance.</div>
</div><div></div><div><div>Your performance will be appreciated with competitive compensation, annual growth, and a structured rewards and recognition program.</div>
</div><div></div><div><div>We also offer comprehensive benefits including Mediclaim insurance, internet allowance.</div>
</div><div></div><div><div>Our work-from-home-first approach offers flexibility, complemented by occasional in-person meetups to foster team connection.</div>
</div><div></div><div><div>Continuous learning is always encouraged here through certifications, workshops, and opportunities to explore new domains.</div>
</div><div></div><div><div>You&rsquo;ll gain cross-functional exposure and the chance to work with international clients, enhancing both your skills and global outlook.</div>
</div></ul></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div><b>Have we sparked your interest? Are you curious?</b><br>
<br>
Then become a part of LPDG India and drive the digital transformation together with us!<br>
 We look forward to receiving your complete application documents stating your salary expectations and your earliest possible starting date by e-mail to <b><i>career.india@lpdg.io</i></b></div>
</div></div><div></div><div><div><div><div><div><div><div><div><div><b>Your Contact Person</b></div><div><b><br>
SRABANA CHANDRA
</b><br>
<b>CAREER.INDIA@LPDG.IO</b></div></div></div><br>
</div></div></div></div></div></div></div></div></div></div><div></div><div><div><div><div><div><div><div>LPDG India Private Limited<br>
Office No. 312
<br>
Oracle Business Hub
<br>
Road No. 16 Z<br>
Wagle Industrial Estate<br>
Thane- 400604, Maharashtra, India</div></div></div></div></div></div></div></div><div></div>

(Senior) Data Scientist

OneMagnify

<div><div>Senior Data Scientist &ndash; Job Description</div><div>
We are seeking a Senior Data Scientist with deep experience translating business requirements into technical specifications, manipulating large datasets, and supporting a broad range of data initiatives for our clients. Our Data Scientists design, enhance, and support data services and analytics capabilities used by our clients and their customers. They work closely with business partners and Data Engineering/Analytics teams to understand data meaning and intent, provide analytical insights, and ensure data designs and solutions align with defined standards.</div><div>
About You</div><div>
You are a data professional with strong hands-on technical skills and exceptional attention to detail. You thrive in collaborative environments, working with large-scale datasets and developing advanced analytics solutions. You are a problem solver who is passionate about transforming data into meaningful business impact.</div><div>
Responsibilities</div><ul><li>
Client leadership &amp; project delivery: Independently engage with client leadership, lead project meetings to align on scope and timelines, provide analytical support across the portfolio, and ensure smooth, timely delivery; perform additional duties as needed.</li><li>
Modeling, experimentation &amp; optimization: Design and deploy analytical models (forecasting, classification/regression, segmentation), conduct A/B testing and causal analyses, and develop optimization solutions (linear, mixed-integer, multi-objective). Ensure rigorous validation with diagnostics, monitoring, and complete documentation.</li><li>
Analysis &amp; storytelling: Execute advanced data analyses; interpret and synthesize findings; present clear insights to internal and external stakeholders; prepare executive-ready presentations and visualizations using Tableau and Power BI.</li><li>
Requirements &amp; business rules: Partner with business and engineering teams to elicit requirements, define and document business rules, and translate needs into technical specifications and user-facing documentation.</li><li>
Data integration &amp; quality: Integrate data from diverse sources; monitor and validate data flows; develop or enhance data-quality reporting; conduct root-cause analysis; test database changes prior to release; use Databricks for scalable data processing.</li><li>
MLOps &amp; deployment: Collaborate with engineering teams to implement MLOps practices including MLflow pipelines, model deployment, monitoring, and end-to-end lifecycle management.</li><li>
Version control &amp; collaboration: Use Git/GitLab for code management, reproducibility, and collaborative development with engineering teams.</li><li>
Data governance &amp; compliance: Ensure adherence to data governance, privacy, compliance, and regulatory frameworks.</li><li>
Metrics &amp; communication: Build new metrics and KPI reports that drive business decisions; communicate effectively with business and technical leads and respond appropriately to sensitive inquiries.</li></ul><div>
Qualifications / Skills</div><ul><li>
Experience: 5&ndash;7+ years of hands-on analytics including predictive modeling, experimentation (A/B testing), and optimization; 3&ndash;5 years presenting analyses to management and partnering with business/technical stakeholders; demonstrated leadership of multi-member client projects; expertise in experimental design, model diagnostics, and monitoring with clear, reproducible documentation.</li><li>
Technical (required): Advanced SQL and Python; ability to query, manipulate, and interpret data from databases/data warehouses; strong Excel and PowerPoint skills; hands-on experience with Databricks for large-scale data processing and machine learning workflows; proficiency with Tableau and/or Power BI; experience with Git/GitLab; understanding of data governance, privacy, and compliance standards.</li><li>
Technical (preferred): Proficiency with SAS and R; familiarity with automotive/VIN data; experience working with large/complex data structures; understanding of MDM concepts; exposure to MLOps practices.</li><li>
Data quality &amp; problem solving: Proven experience diagnosing and resolving data-quality issues across multiple platforms.</li><li>
Communication: Excellent interpersonal, verbal, and written communication skills; ability to work with both business and technical audiences and respond effectively to sensitive or complex inquiries.</li><li>
Education: BA/BS in Computer Science, MIS, Statistics, Mathematics, Marketing Research, or a related quantitative field (or equivalent practical experience).</li></ul></div>

Zeta Global

<div><p><b>WHO WE ARE</b></p>
<p>
Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform &ndash; powered by one of the industry's largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to www.zetaglobal.com.</p>
<p><b>
ROLE SUMMARY:</b></p>
<p>
Do you crunch data for breakfast? Hungry for a data or ML challenge? If yes, we want to talk to you.</p>
<p>
Zeta is looking for a Senior Data Scientist with great talent and potential to join us! We are seeking an experienced, energetic, and self-starting Data Scientist to join the Global Data Science and Analytics team.</p>
<p><b>
RESPONSIBILITIES:</b></p>
<ul>
<li>Data ETL: Be a leader in creating ETL pipelines in Snowflake, Hive, Athena, MySQL</li>
</ul><ul><li>ML modeling, optimization and automation: Design, build, and maintain ML/AI pipelines in a distributed environment for maximum productivity and scalability. Key areas of focus:</li>
</ul><ul><li>Data engineering</li>
</ul><ul><li>ML/AI model development, evaluation and deployment/scoring</li>
</ul><ul><li>Insight generation/recommendation engines</li>
</ul><ul><li>Monitoring and reporting: Generate client-facing marketing campaign ROI reports with a critical focus on data integrity and consistency in reporting.</li>
</ul><ul><li>Marketing automation: Use technologies like Python, Snowflake, Apache Superset for marketing automation.</li></ul><br>
<p></p>
<p><b>
REQUIREMENTS:</b></p>
<ul>
<li>Strong hands-on programming/scripting experience in Python, Spark, Snowflake. Strong preference for working knowledge of Python ML/AI packages.</li>
</ul><ul><li>Very strong knowledge of ML algorithms: Supervised learning and Advanced ML techniques and statistics methods such as Random Forest, GBM, Generalized Regression, Bagging/Boosting, Neural Networks and similar algorithms.</li>
</ul><ul><li>Expertise in AWS environment: EC2, EMR, RDS, S3, Redshift, Athena</li>
</ul><ul><li>Hands-on know-how of Unix command line operations and shell scripting</li>
</ul><ul><li>Exceptional attention-to-detail with the ability to meet aggressive deadlines. We move at a fast pace and generally have 3-5 projects going at any one time.</li>
</ul><ul><li>Team player with great communication skills and willing to help the other team members</li></ul><br>
<p></p>
<p><b>
QUALIFICATIONS:</b></p>
<ul>
<li>MSc/MS in quantitative disciplines like Computer Science, Decision Science, Data Science, Business Analytics, Statistics, with at-least 3 years of experience (we will consider BSc with at-least 5 years of similar experience)</li></ul><br>
<p></p>
<p><b>
ZETA IN THE NEWS!</b></p>
<p>
https://zetaglobal.com/press/?cat=press-releases</p></div>

NielsenIQ

<div><b>Job Description</b><p><br>
Position: Senior Data Scientist (Internship - 6 Months)</p><p>
Job Purpose: As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organization, you will drive definition and support of new products and methods development, and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.</p><p>
Job Responsibilities:</p><ul><li><p>
Define, plan and execute analyses regarding innovation initiatives, methodology development, standards, and KPIs development and implementation.</p></li><li><p>
Prototype solutions and support pilot programs for R&amp;D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.</p></li><li><p>
Test-driven development of scalable data processing applications.</p></li><li><p>
Deliver high quality documentation of new methodologies and best practices.</p></li><li><p>
Collaborate with experienced Developers, Data Scientists, and Technology engineers.</p></li><li><p>
Support various Operations team as main users of our solutions.</p></li><li><p>
Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.</p></li><li><p>
Participate in multiple projects simultaneously.</p></li></ul><p>
Requirements:</p><p>
Essential:</p><ul><li><p>
Pursuing PhD degree in Statistics, with outstanding analytical expertise and strong technical skills.</p></li><li><p>
Extensive experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.</p></li><li><p>
High proficiency in Python programming language including data analysis and statistical packages (Pandas, NumPy, Scikit-Learn). Good familiarity with Python standard library, especially unittest and argparse modules.</p></li><li><p>
Experience with Spark or other big data processing solutions.</p></li><li><p>
Experience in machine learning.</p></li><li><p>
Experience with cloud computing and storage (MS Azure preferred).</p></li><li><p>
Experience with Docker and Linux command line.</p></li><li><p>
Ability to quickly manipulate, analyze, and interpret large data sources.</p></li><li><p>
Strong communication/writing skills with good English (working in a remote team with a global footprint).</p></li></ul><p>
Preferred:</p><ul><li><p>
Experience in NIQ methodologies, data collection, platforms, research processes, and operations.</p></li></ul><b><br>
Additional Information</b><div></div><p><b><br>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

GE HealthCare

<div><h1 class="jobSectionHeader"><b>Job Description Summary</b></h1>
The Sr Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets.<br>
<br>
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has
<br>
no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and
<br>
every difference builds a healthier world.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p>
GE HealthCare is accelerating its transformation through strategic Big Bets in Commercial excellence, Logistics optimization, Inventory management, and Manufacturing innovation. The Enterprise AI team, part of the Chief Data and Analytics Office, delivers enterprise-grade AI and ML solutions that drive measurable impact. As a Sr. Data Scientist (LPB2), you will contribute to designing and implementing advanced models, collaborating across functions to solve complex business challenges and deliver scalable solutions.</p><h1 class="jobSectionHeader"><b>
Core Responsibilities</b></h1><ul><li><p>
Model Development &amp; Delivery: Design, build, and deploy AI/ML models to address business challenges in commercial operations, supply chain, manufacturing, and related domains.</p></li><li><p>
Independent Project Execution: Lead projects and/or significant components of larger initiatives, ensuring timely and high-quality delivery.</p></li><li><p>
Cross-Functional Collaboration: Partner with data engineering, ML engineering, analytics, GenAI, and business stakeholders to deliver integrated solutions.</p></li><li><p>
Technical Excellence: Apply best practices in data preparation, feature engineering, model selection, validation, and deployment. Contribute to code reviews and documentation.</p></li><li><p>
Continuous Improvement: Stay current with advancements in ML, GenAI, and analytics. Identify opportunities to enhance models and processes.</p></li><li><p>
Business Impact: Translate technical outputs into actionable insights for business partners, supporting decision-making and measurable outcomes.</p></li></ul><h1 class="jobSectionHeader"><b>
Experience Requirements</b></h1><ul><li><p>
Experience: 1+ years of direct AI/ML experience with demonstrated success building and deploying enterprise-grade solutions at scale.</p></li><li><p>
Relevant Expertise: Proven ability to apply advanced analytics and machine learning to solve real-world problems.</p></li><li><p>
Education: Masters/PhD in Computer Science, AI, Data Science, Applied Mathematics, or related field.</p></li><li><p>
Technical Skills: Proficiency in ML algorithms, GenAI frameworks, and data engineering. Experience with Python, AWS, Azure, and open-source tools (R, SQL, Spark, TensorFlow, Keras, PyTorch, Scikit-learn).</p></li><li><p>
MLOps &amp; Engineering: Demonstrated ability to deploy, monitor, and maintain ML and GenAI models in production environments.</p></li><li><p>
Industry Knowledge: Understanding of analytics practices relevant to commercial operations, logistics, inventory management, manufacturing, and finance.</p></li><li><p>
Communication: Strong ability to convey complex technical concepts to non-technical stakeholders and senior executives.</p></li><li><p>
Interpersonal Skills: Proven success working in cross-functional, hybrid, and virtual teams.</p></li><li><p>
Ethics &amp; Integrity: Commitment to ethical data science practices.</p></li><li><p>
Travel: Willingness to travel for business meetings as needed.</p></li></ul><p></p><p><b>
Inclusion and Diversity </b>:</p><p>
GE Healthcare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership &ndash; always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you&rsquo;d expect from an organization with global strength and scale, and you&rsquo;ll be surrounded by career opportunities in a culture that fosters care, collaboration and support.</p><p>
#L1-Hybrid</p><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>No</p></div></div></div></div></div></div></div></div><p></p>

Explore 10000+ Senior data scientist in Bangalore Jobs In House Counsel Jobs In Mangaluru this December. Find roles across top companies and apply now to boost your career.

10000 senior data scientist jobs IN Bangalore Jobs In House Counsel Jobs In Mangaluru

Senior Data Scientist

Senior Data Scientist

(Senior) Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist