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advanced data scientist [t500-20971] Jobs in Mangaluru

advanced data scientist [t500-20971]

data scientist

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Data Scientist

Citi

<div>
 The Spec Analytics Analyst is a trainee professional role. Requires a good knowledge of the range of processes, procedures and systems to be used in carrying out assigned tasks and a basic understanding of the underlying concepts and principles upon which the job is based. Good understanding of how the team interacts with others in accomplishing the objectives of the area. Makes evaluative judgements based on the analysis of factual information. They are expected to resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Must be able to exchange information in a concise way as well as be sensitive to audience diversity. Limited but direct impact on the business through the quality of the tasks/services provided. Impact of the job holder is restricted to own job.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Incumbents work with large and complex data sets (both internal and external data) to evaluate, recommend, and support the implementation of business strategies
 </li>
 <li>
 Identifies and compiles data sets using a variety of tools (e.g. SQL, Access) to help predict, improve, and measure the success of key business to business outcomes
 </li>
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 Responsible for documenting data requirements, data collection / processing / cleaning, and exploratory data analysis; which may include utilizing statistical models / algorithms and data visualization techniques
 </li>
 <li>
 Incumbents in this role may often be referred to as Data Scientists
 </li>
 <li>
 Specialization in marketing, risk, digital and AML fields possible
 </li>
 <li>
 Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 1-6 years of related experience into Data Science preferred
 </li>
 <li>
 Have the ability to retrieve and manipulation data
 </li>
 <li>
 Working experience in a quantitative field
 </li>
 <li>
 Possess analytic ability and problem solving skills
 </li>
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 Excellent communication and interpersonal skills, be organized, detail oriented, and adaptive to matrix work environment
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 <ul>
 <li>
 Bachelors/University degree or equivalent experience
 
 
 </li>
 </ul>
 This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
 
 
 ------------------------------------------------------
 
 
 
 Job Family Group:
 
 
 
 Decision Management
 
 
 ------------------------------------------------------
 
 
 
 Job Family:
 
 
 
 Specialized Analytics (Data Science/Computational Statistics)
 
 
 ------------------------------------------------------
 
 
 
 Time Type:
 
 
 
 Full time
 
 
 ------------------------------------------------------
 
 
 
 Most Relevant Skills
 
 
 
 Please see the requirements listed above.
 
 
 ------------------------------------------------------
 
 
 
 Other Relevant Skills
 
 
 
 For complementary skills, please see above and/or contact the recruiter.
 
 
 ------------------------------------------------------
 
 
 
 Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
 
 
 
 
 If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review
 
 
 Accessibility at Citi.
 
 
 
 
 View Citi&rsquo;s EEO Policy Statement and the Know Your Rights poster.
 
</div>

<div>
 Associate Data Scientists assist in analyzing data and developing data-driven insights. Responsibilities include data collection, preprocessing, and basic statistical analysis. You will work under the guidance of senior data scientists to learn and apply data science techniques. Basic knowledge of data analysis tools and statistical methods is required.
</div>

Associate - Data Scientist-Data Science-Data Scientist

Data Scientist, Product Analytics

LinkedIn

<div>
 
 Company Description
 
 
 
 LinkedIn is the worlds largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. Were also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture thats built on trust, care, inclusion, and fun where everyone can succeed.
 
 
 
 Job Description
 
 
 
 At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
 
 
 LinkedIn member data is amazingly rich and provides a fantastic opportunity for Data Scientists to explore and create, ultimately developing ways for members to improve their professional lives. You will have the opportunity to work with some of the best data people anywhere in an environment that truly values data-driven decisions.
 
 
 Data Scientists on our team partner with product managers, engineers, and others to form a cross-functional team driving LinkedIn membership growth and engagement. We are looking for strong, enthusiastic data scientists to join our team in Bangalore, India focusing on International Products that create values for LinkedIn's global member base in over 200 countries.
 
 
 
 About The Team -
 
 
 
 Join the LSS-Data Science team and help create meaningful impact by connecting sellers and buyers to mutual growth opportunities! LinkedIn Sales Solutions (LSS) is one of the fastest-growing multi-billion dollar verticals at LinkedIn, and the LSS-Data Science team is at the forefront of building the next generation of AI-centric Sales Navigator platform. This platform enables tens of millions of companies to connect with their future customers, driving significant economic value.
 
 
 You will have the opportunity to work with and lead highly experienced and passionate data scientists, as well as our brilliant cross-functional partner teams in Engineering, Product Management, and Design. Together, we are creating immense economic value for our customers using the largest global professional economic graph.
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 We inform product strategy, influence the product roadmap, and guide product decisions by
 </li>
 <li>
 Accessing and analyzing the world's richest professional data to generate insights and make proactive recommendations.
 </li>
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 Formulating success metrics for completely novel products and creating dashboards/reports to monitor them.
 </li>
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 Designing and analyzing experiments to test new product ideas.
 </li>
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 Developing models and data-driven solutions that add material lift to principal performance metrics.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Basic Qualifications:
 
 
 <ul>
 <li>
 BS/MS in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics, etc.
 </li>
 <li>
 10+ years of experience working with large amounts of real data with SQL (Teradata, Oracle, or MySQL) and R, or other statistical package.
 </li>
 <li>
 10+ years of experience in a Unix/Linux environment for automating processes with shell scripting.
 
 
 
 </li>
 </ul>
 Preferred Qualifications:
 
 
 <ul>
 <li>
 Experience with Consumer Internet products.
 </li>
 <li>
 Experience programming in Python, Java, or another programming language - Pig experience desired but not required.
 </li>
 <li>
 Ability to translate business objectives into actionable analyses.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and non-technical audiences
 </li>
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 Knowledge in one of the following areas is a strong plus: Viral Growth mechanisms, user acquisition in International markets, Search Engine Optimization (SEO)
 </li>
 <li>
 Expertise in applied statistics, understanding of controlled experiments.
 </li>
 <li>
 Cross-cultural background and experience
 
 
 
 </li>
 </ul>
 Suggested Skills:
 
 
 <ul>
 <li>
 Sql
 </li>
 <li>
 Data visualization
 </li>
 <li>
 Hive
 
 
 
 </li>
 </ul>
 
 Additional Information
 
 
 
 
 India Disability Policy
 
 
 
 LinkedIn is an equal employment opportunity employer offering opportunities to all job seekers, including individuals with disabilities. For more information on our equal opportunity policy, please visit https://legal.linkedin.com/content/dam/legal/Policy_India_EqualOppPWD_9-12-2023.pdf
 
 
 
 Global Data Privacy Notice for Job Candidates
 
 
 
 Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.
 
 
</div>

Staff Data Scientist

Albertsons Companies India

<div>
 
 
 About Albertsons Companies Inc. :
 
 
 
 As a leading food and drug retailer in the United States, Albertsons Companies, Inc. operates over 2,200 stores across 35 states and the District of Columbia. Our well-known banners across the United States, including Albertsons, Safeway, Vons, Jewel-Osco and others, serve more than 36 million U.S customers each week.
 
 
 We build and shape technology solutions that solve customers&rsquo; problems every day, making things easier for them when they shop with us online or in a store. We have made bold, strategic moves to migrate and modernize our core foundational capabilities, positioning ourselves as the first fully cloud-based grocery tech company in the industry.
 
 
 Our success is built on a one-team approach, driven by the desire to understand and enhance the customer experience. By constantly pushing the boundaries of retail, we are transforming shopping into an experience that is easy, efficient, fun and engaging.
 
 
 
 
 
 
 About Albertsons Companies India:
 
 
 
 At Albertsons Companies India, we're not just pushing the boundaries of technology and retail innovation, we're cultivating a space where ideas flourish and careers thrive. Our workplace in India is a vital extension of the Albertsons Companies Inc. workforce and important to the next phase in the company&rsquo;s technology journey to support millions of customers&rsquo; lives every day.
 
 
 At the Albertsons Companies India, we are raising the bar to grow across Technology &amp; Engineering, AI, Digital and other company functions, and transform a 165-year-old American retailer. At Albertsons Companies India associates collaborate directly with international teams, enhancing decision-making processes and organizational agility through exciting and pivotal projects. Your work will make history and help millions of lives each day come together around the joys of food and inspire their well-being.
 
 
 
 
 
 
 Position Title: Advanced Data Scientist
 
 
 
 
 Job Description:
 
 
 
 
 Roles &amp; responsibilities:
 
 
 <ul>
 <li>
 Collaborate with business and product stakeholders and build production grade models and machine learning algorithms on large-scale datasets
 </li>
 <li>
 Enhance and apply end-to-end demand forecasting models to support various business decision making
 </li>
 <li>
 Optimize inventory policies to reduce supply chain waste and opportunity cost related to holding excess inventory by maximizing the productivity of inventory
 </li>
 <li>
 Identify key drivers for out of stocks and address them using Machine Learning and Mathematical Optimization techniques to maximize in stock conditions at stores to provide the best customer experience
 </li>
 <li>
 Apply machine learning and mathematical optimization to increase productivity in ecommerce fulfillment operations and deliver the most optimum user experience on ecommerce website and loyalty mobile app
 </li>
 <li>
 Apply predictive modeling techniques and survival models to forecast various demands for operations and to deploy real time learning algorithms to optimize the forecasts
 </li>
 <li>
 Build models and algorithms to fuel growth initiatives for In Stock, Omni Channel, Digital and Merchandising
 </li>
 <li>
 Apply statistical analysis to detect anomaly in systems and outliers in operational metrics for operational excellence
 </li>
 <li>
 Convey machine learning solutions with intuitive visualizations and effective communications
 </li>
 <li>
 Scale up prototypes and implement reliable automated production workflow for models
 </li>
 <li>
 Collaborate with software development engineers to integrate models
 </li>
 </ul>
 
 
 
 
 
 Experience Required:
 
 
 <ul>
 <li>
 Bachelors or master's or PhD degree in quantitative discipline: Computer Science, Engineering, Data Science, Math, Statistics or related mathematically intensive fields such as Experimental Physics or Chemical Engineering
 </li>
 <li>
 3+ years of industry experience in applying data science and modeling methodologies: regression model, survival model, ensemble modeling, NLP, recommendation algorithm, clustering, deep learning algorithm, experimental design (Multivariate/A-B testing) and nonparametric Bayesian modeling etc.
 </li>
 <li>
 Experience with any of the following business analytics practices is preferred:
 </li>
 <li>
 Supply chain analytics, including inventory optimization
 </li>
 <li>
 Time series forecasting for large-scale demand forecasting
 </li>
 <li>
 Ecommerce fulfillment operations, pick path optimization
 </li>
 <li>
 3+ years of experience and proficiency in SQL, Python and/or Spark-ML
 </li>
 <li>
 3+ years of SQL development skills writing queries, transforming data, mining structured and unstructured data.
 </li>
 <li>
 2+ years of hands-on experience in building data science solutions and production-ready systems on big data platforms such as Databricks, Spark, Hadoop
 </li>
 <li>
 Ability to write production-level code in Python
 </li>
 <li>
 Experience with Snowflake, Azure Databricks is a strong plus
 </li>
 <li>
 Building Recommendation/ personalization systems or foundational systems on apps &amp; websites.
 </li>
 </ul>
 
 
 
 
 
 Skills Required:
 
 
 <ul>
 <li>
 Statistical and Experimental Modeling (regression modeling, survival modeling, experimental design multivariate/A-B testing)
 </li>
 <li>
 ML and AI (deep learning algorithms, NLP, nonparametric Bayesian modeling, ensemble modeling, recommendation algorithms, clustering)
 </li>
 <li>
 Mathematical and Applied Optimization (operations research, linear optimization, non-linear optimization, numerical search)
 </li>
 <li>
 SQL, Python
 </li>
 </ul>
 
 
 
 
 
 Skills Preferred:
 
 
 <ul>
 <li>
 Big Data and Tools (Spark-ML, Snowflake, Spark, Hadoop, Big Query)
 </li>
 <li>
 Production-level Python coding
 </li>
 <li>
 Data Engineering
 </li>
 <li>
 AI Methodologies (GenAI, Agentic AI)
 </li>
 </ul>
</div>

Advanced Data Scientist [T500-21272]

Sigmoid

<div>
 Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We o&fflig;er best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
 
 
 
 Offices
 
 : New York | Dallas | San Francisco | Lima | Bengaluru
 
 
 The below role is for our Bengaluru office.
 
 
 
 About the Role
 
 :
 
 
 You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.
 
 
 
 Role: ALDS
 
 
 
 
 Mandate
 
 
 Skills &amp; Competencies:
 
 
 
 <ul>
 <li>
 Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools &amp; Cloud Technology (AWS, Azure, GCP)
 </li>
 <li>
 Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
 </li>
 <li>
 Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
 </li>
 <li>
 Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
 </li>
 <li>
 Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
 </li>
 <li>
 Contribute to internal product development initiatives related to data science.
 </li>
 <li>
 Develop data science roadmap, and guide data scientist to meet their deliverables.
 </li>
 <li>
 Handling end-to-end client AI &amp; analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
 </li>
 <li>
 Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
 </li>
 <li>
 Drive excellent project management required to deliver complex projects, including effort/time estimation.
 </li>
 <li>
 Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround &amp; higher accuracy
 </li>
 <li>
 Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
 </li>
 <li>
 Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
 </li>
 <li>
 Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
 </li>
 <li>
 Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
 </li>
 <li>
 Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
 </li>
 <li>
 Build business case for technological investments to be made for future needs and to remain competitive
 </li>
 <li>
 Ensure that billing and utilization of team members is maximized throughout the year
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 Experience designing data science solutions to business problems
 </li>
 <li>
 Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
 </li>
 <li>
 Comfortable with large scale data processing and distributed computing
 </li>
 <li>
 Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
 </li>
 <li>
 Providing required inputs to sales, and pre-sales activities
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 </li>
 </ul>
 
 Desired Experience &amp; Education:
 
 
 
 <ul>
 <li>
 4- 8 years of relevant Machine Learning experience.
 </li>
 <li>
 Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
 </li>
 </ul>
</div>

Associate Lead Data Scientist

Explore 313+ Data scientist in Mangaluru this November. Find roles across top companies and apply now to boost your career.

313 data scientist jobs IN Mangaluru

Data Scientist

Data Scientist

Associate - Data Scientist-Data Science-Data Scientist

Data Scientist, Product Analytics

Staff Data Scientist

Advanced Data Scientist [T500-21272]

Associate Lead Data Scientist