Science Salary in India - PayScale

Build a robust understanding of the Business, identify Key result areas and bring predictability through AI/ ML modelsLiaise with the Development Team towards integrating the models into the Managed Services SystemsBuild a Product roadmap and liaise with the Development Team in developing GTM productsReview/ Re-engineer existing process and introduce new processes wherever required to build efficienciesImplement effective Change Management processes and documentationReview, highlight and suggest measures to mitigate current and anticipated risks to the BusinessDrive Revenue Growth across businesses, understand and mitigate risks to P&LDrive Continuous improvement through Business Reviews with all StakeholdersFull-time MBA from a reputed UniversityA minimum of 10 years of experience in the Data Science DomainSix Sigma Black Belt or an equivalent skillsetExperience in working with and managing Teams across locations

Data Science Senior AdvisorData Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.Join us as a Data Science Senior Advisor in our Data Science team in Bangaloreto do the best work of your career and make a profound social impact.What you'll achieveAs a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: Solve business and customer issues utilizing AI/MLBuild prototypes and scalable AI/ML solutions that will be integrated into software productsCollaborate with software engineers, business stakeholders and product owners in an Agile environmentHave complete ownership of model outcomes and drive continuous improvementTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements 8+ years' experience in a related role or equivalent skill/education; must include deep knowledge of data science principles.Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deploymentAbility to work with internal stakeholders to transfer business questions into quantitative problem statementsAbility to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plusExperience with Big Data technologies and/or software development is a plusDesirable RequirementsMasters or PhD in a quantitative discipline.Ability to act as a coach to the team and strong product/technology/industry knowledgeWho we areWe believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Application closing date: 8 April 2024Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .Job ID:R240914Dell's Flexible & Hybrid Work CultureAt Dell Technologies, we believe our best work is done when flexibility is offered.We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.Salary: . Date posted: 03/28/2024 02:10 AM

Top Ten Universities in Australia for Computer Science In demand globally, you can use the Master of Computer Science as a pathway to a PhD or to the workforce.Globally in the digital decades, pursuing a Master in Computer Science in Abroad, Australia c

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BASIC QUALIFICATIONS• PhD degree in computer science, statistics, engineering, mathematics or another relevant discipline• 10+ years of experience using AI/ML solutions to address Large-scale computing, Product Matching, Optimization and Prediction & Forecasting.• 5+ years of experience leading science teams• Experience in applying machine learning to real-world problems, with demonstrated impact on product or service outcomes• Excellent written and verbal technical communication with an ability to present complex information in a clear and concise manner to a variety of audiencesDESCRIPTIONAs a leader within the Competitor Monitoring Team (CMT), you'll lead a team of applied scientists, playing a key role in the evolution of our Competitive Monitoring systems. You'll solve the world's most complex technical challenges in Crawling, Large-scale computing, Product Matching, Optimization, and Prediction & Forecasting.Key job responsibilities• Understand in-depth the technical and scientific issues related to Natural Language Processing, Image Processing and Optimization• Develop new solutions and science best practices• Research the problem domain and develop novel approaches to solve customer problems.• Drive adoption of new science and best practices among partner teams.• Be open to experiment quickly and fail fast.• Collaborate with engineers to develop end-to-end solutions to the business problems.• Ideate on future roadmap for science in CMT, and CMT in general.We are open to hiring candidates to work out of one of the following locations:Bangalore, KA, INDPREFERRED QUALIFICATIONS• Hands on experience of leading teams in launching products that are impactful and scalable.• Experience of delivering large scale AI/ML based solutions• Experience of influencing strategy through cutting edge researchSalary: . Date posted: 04/04/2024 09:28 AM

Effectively using project management/milestone planning techniques to drive multiple concurrent opportunities.Designing and adapting analytical paradigms based on the CQAs, process control strategies and emerging industry trends.Interacting with stakeholders consisting of analytical, manufacturing, process development, quality, regulatory, supply chain, Work with other groups to develop time lines and effective strategies to meet the clinical supply demands.Carrying out research on assigned technology, concepts, technical opportunities, and materials.Managing equipment qualifications and/or calibrations per internal procedures and USP guidelines.Using experimental designs, research, and analyses to interpret data to determine feasibility/efficacy of proposed solutions.Adhering to all cGMPs, compliance/regulatory mandates and quality requirementsManaging a team and a setting up the analytical R&D instruments in the lab from scratchIdeally you have a PHD with min 10 years of analtyical experience in Polymers or material science. You have managed a team of alteast 3- 5 people and must have an understanding on broad range of analytical equipment like LC, GC, NMR, GCMS, LCMS, IR, UV.

Data Scientist ConusltantWe are looking for a data scientist to join our translation team and work on developing and improving machine translation (MT) and natural language generation (NLG) systems for our products and services. You will be responsible for collecting, processing, analyzing, and interpreting large amounts of data from various sources, such as linguistic corpora, ontologies, dictionaries, etc. You will also be involved in creating predictive models and machine-learning algorithms that can handle complex and diverse languages, domains, and tasks.Join us to do the best work of your career and make a profound social impact as a Data Science Consultant on our Global Translation Team.What you'll achieveCollect data through means such as analyzing business results or by setting up and managing new studiesTransfer data into a new format to make it more appropriate for analysisCreate new, experimental frameworks to collect dataCollaborate with computational linguists to optimize training data for prediction modelsTake the first step towards your dream careerEvery Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role:Essential RequirementsExperience: Overall 13+ years of experience with minimum of 5+ years od experience in developing MT (Machine Translation) and NLG (Natural Language Generating) systems using Python or other programming languagesExperience with large language models and generative AI, NLP frameworks such as TensorFlow or PyTorch.Experience with large-scale data processing using distributed computing environments such as Spark or MapReduce. Experience with linguistic annotation tools such as Annoty or OntoNotesKnowledge of machine learning concepts such as supervised learning, unsupervised learning, reinforcement learning, etc. Knowledge of natural language generation concepts such as text summarization, text simplification, text paraphrasing, etc.Experience in translation industry and familiarity with tasks such as source text optimization, automated post-editing, MT quality estimation and error annotation. Excellent communication skills both written and verbal. Ability to work independently and in a team environment.Desirable RequirementsMaster's degree/PhDStrong Mentoring and Coaching skillsWho we areWe believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Application closing date: 30 June 2024Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .Job ID:R239834Dell's Flexible & Hybrid Work CultureAt Dell Technologies, we believe our best work is done when flexibility is offered.We know that freedom and flexibility are crucial to all our employees no matter where you are located and our flexible and hybrid work style allows team members to have the freedom to ideate, be innovative, and drive results their way. To learn more about our work culture, please visit our locations page.Salary: . Date posted: 04/16/2024 02:09 AM

J.P. Morgan Asset Management (JPMAM) is committed to providing exceptional service to our clients and business partners. Our sales and client service teams, marketing support, and product specialists, are dedicated to the support of our clients and leverage the capabilities of our global firm to deliver to our clients. We provide an integrated approach to client servicing in order to meet the client's full range of investment and servicing needs. Each new client is assigned to a Client Service team which consists of a Client Advisor, Marketer, Client Account Manager, Portfolio Manager and Investment Specialist.As the Data science professional in our Business Intelligence and Advanced Analytics team you will spend each day defining, refining and delivering set goals for our firmJob responsibilities Partnering with business stakeholders to identify opportunities for leveraging advanced analytics. Leverage the power of AI/ML to solve complex business problems Embed analytics process in organizational decision making: descriptive, diagnostic and predictive and prescriptive analytics to derive better business outcomes Building analytical frameworks for marketing measurement - A/B testing, campaign ROI(return on investment) , cost of acquisition modeling, lifetime value, etc. In-depth data exploration and data mining to develop a deep understanding of client behavior, segmentation and engagement models, market opportunity sizing and wallet share evaluations, build recommendation engines and personalization frameworks, build predictive call to action solutions, measurement analytics Contributing to and enhancing data models and feature stores. Leveraging machine learning models and techniques to target opportunities and optimize processes Developing tools and solutions to measure model performance over time and fostering a data-driven, innovative culture Acting as a proxy product-owner and consultant to provide optimal data solutions for various business problem statements / pain-points and goalsRequired qualifications, capabilities, and skills MBA or advanced degree in Statistics, Math, Engineering or other quantitative-focused field preferred Experience in an analytics role, financial services/marketing preferred Experience using computer languages (Python, Pyspark, Google Analytics, etc.) to manipulate and analyze large datasets. Story-telling acumen using Tableau, power-point etc. tools Sound knowledge of SQL to collate data from various sources Experience using machine learning libraries in Python (Numpy, Pandas, Sci-kit learn, tensorflow, etc.) Knowledge of variety of machine learning algorithms (linear regression, logistic regression, SVMs, Tree-based models, neural networks, etc.) and techniques (cross validation, feature selection approaches, hyper parameter optimization, missing data imputation etc.) Strong problem-solving skills and excellent communicator (written and verbal) with strong interpersonal skillsPreferred qualifications, capabilities, and skills Understanding of Asset Management Business. A passion for technology, financial services and Asset / Wealth management A balanced approach combining judgment, analytical rigor, curiosity, open-mindedness and creativity. Excellent communication skills with a knack of converting data into stories Ability to multi-task and understand priorities/workflows. Self-motivated, team player with strong work ethic Ability to build relationships across global teamsAbout usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​Salary: . Date posted: 04/22/2024 10:24 PM