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data science specialist

Lowe's India

<div>
 
 About Lowe&rsquo;s
 
 
 
 Lowe&rsquo;s is a FORTUNE&reg; 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe&rsquo;s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe&rsquo;s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need.
 
 
 For more information, visit Lowes.com
 
 
 Lowe&rsquo;s India, the Global Capability Center of Lowe&rsquo;s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe&rsquo;s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability.
 
 
 For more information, visit Lowes India
 
 
 
 About The Team
 
 
 
 DACI Merchandising primarily focused on Assortment planning and store merchandising execution areas. The team is responsible for solving the problem of which items should we be placed in each store and also determining if we are using the retail selling space effectively or not. We are primarily the data team, using big data and machine learning to help the business users make the best assortment and store merchandising execution decisions.
 
 
 
 Job Summary
 
 
 
 The primary purpose of this role is to provide advanced analytical capabilities to support data science initiatives. This position gains experience in various areas including, but not limited to: predictive modeling; personalization and recommendation algorithms; natural language processing and text mining; search recall, precision, ranking, and related problems; optimization and mathematical programming with applications in merchandising like assortment optimization, retail space planning, and product description,. A Data Scientist solves complex problems that do not yet have solutions in the research. Therefore, the individual in this role must be an expert in his/her field and confident in interacting and proposing solutions to the business. This role influences the thought process and methodology for other team members.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 
 Core Responsibilities:
 
 
 
 <ul>
 <li>
 You will build and deploy state of the art predictive models for use cases such as assortment optimization, automated item listing validation and retail space optimization.
 </li>
 <li>
 Develop and maintain pipelines for training and deploying machine learning models
 </li>
 <li>
 Develop and maintain forecasting models and tools using frameworks such as TensorFlow
 </li>
 <li>
 Design and deploy scalable API services for distributing model output data
 </li>
 <li>
 Support enterprise forecasting applications
 </li>
 <li>
 Collaborate with Data Scientists and Data Engineers to ensure that specifications are translated into flexible, scalable, and maintainable solutions
 </li>
 <li>
 Stay abreast of state-of-the-art machine learning technologies; follow code standards and best practices
 </li>
 <li>
 Mines and extracts data and applies statistics and algorithms necessary to derive insights for Lowe's
 </li>
 <li>
 Supports the generation of an automated insights generation framework for Lowe's business partners to effectively interpret data
 </li>
 <li>
 Provides actionable insights through data science on Merchandising priorities
 </li>
 <li>
 Tracks success of Lowe's through the development of dashboard reports that measure financial results, customer satisfaction, and engagement metrics
 </li>
 <li>
 Conducts deep statistical analysis, including predictive and prescriptive modeling in order to provide a competitive advantage at Lowe's
 </li>
 <li>
 Maintains expert-level knowledge on industry trends, emerging technologies, and new methodologies and applies it to projects as well as using it to guide team members
 </li>
 <li>
 Translates or provides guidance to more junior level scientists to translate requirements into an analytical approach; asks the right questions to understand the problem; validates understanding with Stakeholder or Manager
 </li>
 <li>
 Builds or provides guidance for building the analytic approach to solving a business problem; helps identify the sources, methods, parameters, and procedures to be used; clarifies expectations with stakeholders and plans resources accordingly
 </li>
 <li>
 Leverages deep understanding of statistical techniques and tools to analyze data according to the project plan; communicates with stakeholders to provide updates and manage scope
 </li>
 <li>
 Maintains knowledge of techniques, technology, industry trends, best practices, and emerging methodologies
 
 
 </li>
 </ul>
 
 Years Of Experience
 
 
 
 <ul>
 <li>
 2-5 years of experience in data science
 
 
 </li>
 </ul>
 
 Required Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field (or equivalent work experience in a related field) AND 4 years of experience in analytics AND 2 years of programming experience (Python, Java, Scala, Rust, etc.) OR Master's Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 2 years of experience in analytics AND 1 year of programming experience (Python, Java, Scala, Rust, etc.) OR Ph.D. in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field AND 1 year of experience in analytics Also
 </li>
 <li>
 Knowledge of SQL and various statistical modeling or machine learning techniques
 
 
 </li>
 </ul>
 
 Skill Set Required
 
 
 
 
 Primary Skills (must have)
 
 
 
 <ul>
 <li>
 Hands on experience in AI/ML
 </li>
 <li>
 Hands on experience in Python to build applications that are scalable
 </li>
 <li>
 Statistics
 </li>
 <li>
 Strong problem solving skills
 </li>
 <li>
 Data munging/wrangling
 </li>
 <li>
 Experience with SQL
 
 
 </li>
 </ul>
 
 Secondary Skills (desired)
 
 
 
 <ul>
 <li>
 Experience with Big Data systems like Hadoop or Big Query or Druid
 </li>
 <li>
 Experience solving data science problems in retail
 
 
 </li>
 </ul>
 
 Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.
 
 
 
 Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft. This opportunity will allow you to bring your aspirations, talent, potential and excitement for the journey ahead.
 
 
 As a Data Scientist, you will help design, develop and program methods, processes and systems to consolidate and analyze unstructured, diverse &ldquo;big data&rdquo; sources to generate actionable insights and solutions for client services, product enhancement and business impact. This opportunity will allow you to interact with product and service teams to identify questions and hypotheses for data analysis and experiments. You will develop and code software programs, algorithms, models and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
 
 
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 You will learn and understand project objectives and requirements from a business perspective as well as assist senior leads with the assessment of a project, including risks, contingencies, requirements, assumptions, and constraints.
 </li>
 <li>
 You will contribute to the development of a project plan as well as share insights with stakeholders based on direct work and understand which analysis techniques are appropriate for data and which key technologies and tools are necessary for data exploration (e.g., structured query language [SQL], Python).
 </li>
 <li>
 You will assist with initial data collection and familiarizes self with data in order to identify quality problems, discover insights into the data and/or detect subsets to form hypotheses.
 </li>
 <li>
 You will learn and understand various modeling techniques used within the team (e.g., linear regression, multiple regression, decision-tree building, neural network generation, support machines, derivatives) as well as run model tools on prepared dataset to create one or more models, seeking guidance as needed.
 </li>
 <li>
 You will contribute to the research, identification, prototyping, and productizing of machine learning (ML)/artificial intelligence (AI) techniques and algorithms and understand the linkage between achieved model and business objectives.
 </li>
 <li>
 You will assist with testing models on test applications and on real data or production data and learn and understand the current state of the industry, including knowledge of tools, techniques, strategies and processes that can be utilized to improve process efficiency and performance.
 </li>
 <li>
 You will embody our culture and values.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field OR
 </li>
 <li>
 Master's Degree (or currently pursuing) in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
 
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data Science

Data Scientist / ML Engineer

InvestCloud, Inc.

<div>
 About the Team You will be joining the newly formed AI, Data &amp; Analytics team, primarily responsible as a Data Scientist leading various projects within the small AI team. The new team is focused on driving increased value from the data InvestCloud captures to enable a smarter financial future for our clients, in particular focused on &ldquo;enhanced intelligence&rdquo;. Ensuring we have fit-for-purpose modern capabilities is a key goal for the team.
 
 
 We are seeking a Data Scientist / Machine Learning Engineer with a background in Data Science, Machine Learning, and Generative AI models. The ideal candidate should have a track record in delivering business impact and delighting clients by developing and deploying ML and AI models in production, along with excellent problem-solving skills. In this role, working as part of a team both locally in India and globally, you will integrate AI and ML solutions into the InvestCloud product suite.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Implement applications powered by Generative AI and Machine Learning models and deploy them in production
 </li>
 <li>
 Develop and maintain datasets and data pipelines to support Machine Learning model training and deployment
 </li>
 <li>
 Interpret results from Machine Learning models and communicate findings to both technical and non-technical stakeholders
 </li>
 <li>
 Stay updated with the latest advancements in Machine Learning, natural language processing, and generative AI.
 </li>
 <li>
 Analyze large datasets to identify patterns, trends, and insights that can inform business decisions.
 </li>
 <li>
 Work with 3rd party providers of AI products to evaluate and implement solutions achieving Investcloud&rsquo;s business objectives.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 MSc degree in Mathematics, Statistics, Computer Science, Data Science, Machine Learning, or a related technical field or equivalent practical experience
 </li>
 <li>
 At least two years of professional experience in Data Science, Machine Learning and AI
 </li>
 <li>
 Outstanding communications skills in English
 </li>
 <li>
 Proficiency in programming in Python
 </li>
 <li>
 Knowledge of Machine Learning frameworks (Scikit-learn) and LLM frameworks (e.g. Langchain)
 </li>
 <li>
 Knowledge of data preprocessing, feature engineering, and model evaluation metrics
 </li>
 <li>
 Experience using large language models, generative AI and agentic frameworks (this may be at work or in personal projects)
 </li>
 <li>
 Experience in database technologies (Oracle, PostgreSQL)
 </li>
 <li>
 Working experience developing and deploying Machine Learning models in production
 </li>
 <li>
 Working experience with Git and Docker
 </li>
 <li>
 Working proficiency in English
 </li>
 <li>
 Ability to work in a fast-paced environment, working across multiple projects simultaneously
 </li>
 <li>
 Ability to collaborate effectively as a team player, fostering a culture of open communication and mutual respect.
 </li>
 <li>
 Practical, get-things done mentality within our controls environment.
 
 
 </li>
 </ul>
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Working experience with Vector Database Technologies
 </li>
 <li>
 Experience working with Snowflake and/or Databricks
 </li>
 <li>
 Experience with cloud platforms such as AWS, GCP, or Azure
 
 
 </li>
 </ul>
 
 What Do We Offer
 
 
 
 Join our diverse and international cross-functional team, comprising data scientists, product managers, business analyst and software engineers. As a key member of our team, you will have the opportunity to implement cutting-edge technology to create a next-generation advisor and client experience.
 
 
 Location and Travel The ideal candidate will be expected to work from the office.
 
 
 Compensation The salary range will be determined based on experience, skills, and geographic location.
 
 
 Equal Opportunity Employer InvestCloud is committed to fostering an inclusive workplace and welcomes applicants from all backgrounds.
</div>

Unilever

<div>
 
 Job Posting Title:
 
 Data Scientist
 
 
 
 Location:
 
 Unilever Bangalore
 
 
 
 About Unilever
 
 
 
 Be part of the world&rsquo;s most successful, purpose-led business. Work with brands that are well-loved around the world, that improve the lives of our consumers and the communities around us. We promote innovation, big and small, to make our business win and grow; and we believe in business as a force for good. Unleash your curiosity, challenge ideas and disrupt processes; use your energy to make this happen. Our brilliant business leaders and colleagues provide mentorship and inspiration, so you can be at your best. Every day, nine out of ten Indian households use our products to feel good, look good and get more out of life &ndash; giving us a unique opportunity to build a brighter future.
 
 
 Every individual here can bring their purpose to life through their work. Join us and you&rsquo;ll be surrounded by inspiring leaders and supportive peers. Among them, you&rsquo;ll channel your purpose, bring fresh ideas to the table, and simply be you. As you work to make a real impact on the business and the world, we&rsquo;ll work to help you become a better you.
 
 
 
 About UniOps
 
 
 
 Unilever Operations (UniOps) is the global technology and operations engine of Unilever offering business services, technology, and enterprise solutions. UniOps serves over 190 locations and through a network of specialized service lines and partners delivers insights and innovations, user experiences and end-to-end seamless delivery making Unilever Purpose Led and Future Fit.
 
 
 
 Purpose Of The Role
 
 
 
 <ul>
 <li>
 Works with the product and business teams to fully understand the business problem and how to deliver relevant insights that lead to actions.
 </li>
 <li>
 Gathers, analyses, models and interprets data to solve complex business problems and evaluate scenarios to recommend next best actions to the business.
 </li>
 <li>
 Fast paced agile experimentation with quick iterations to help demonstrate the value to build new product features/releases.
 </li>
 <li>
 Incorporate design thinking elements in building and developing solutions
 </li>
 <li>
 Act as the go to expert on building diagnostic and predictive models through classical modelling and Machine Learning.
 </li>
 <li>
 Build the know-how to develop Gen and Agentic AI solutions to meet growing business requirements in the space.
 </li>
 <li>
 Able to scale and industrialize the solution on cloud-based platforms
 
 
 </li>
 </ul>
 
 Areas Of Focus
 
 
 
 <ul>
 <li>
 Build data-science and algorithmic solutions to address business problems requiring diagnostic, predictive, and / or prescriptive analytics
 </li>
 <li>
 Drive new value from insights from connecting external (Retailer, Econometric, Panel etc) and internal data sources
 </li>
 <li>
 Innovate new D&amp;A methodologies motivated by local needs which feed into D&amp;A&rsquo;s global product pipeline
 </li>
 <li>
 The position will be primarily a sole contributor role working closely with the business interpreter across a variety of markets &amp; teams.
 </li>
 <li>
 Guide team on continuous improvement which will include:
 </li>
 <li>
 Improved ways of working
 </li>
 <li>
 Simplification and standardization
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Degree Qualified in a relevant technical field (Data Science, Computer Science, Engineering, Mathematics, Statistics, Econometrics, Operations Research).
 </li>
 <li>
 Strong track record in solving problems using quantitative and statistical approaches
 </li>
 <li>
 Expert knowledge in some of the following areas with good theoretical understanding across all: Regression, Time Series Forecasting, Causal Inference, Simulation, Optimization. Experience in developing AI solutions using LLMs and Agents is a plus.
 </li>
 <li>
 Experience in designing and industrializing data science solutions
 </li>
 <li>
 Expert knowledge of Python &amp; Spark
 </li>
 <li>
 Experience in communicating with clients and requirement gathering
 </li>
 <li>
 Ability to manipulate and interpret complex, high-volume, high-dimensionality data from varying sources (Nielsen, SAP, Retailer ePOS; both structured and non-structured data)
 </li>
 <li>
 Expert in working with cloud-based platforms like Azure, Databricks.
 </li>
 <li>
 Excellent communication, active listening and presentation skills and ability to communicate effectively with all levels in the organisation
 </li>
 <li>
 Passion for delivering service excellence; and developing a culture of &ldquo;easy to do business with&rdquo;, where customer&rsquo;s needs are anticipated
 </li>
 <li>
 Highly inquisitive mind-set with strong ability to identify, troubleshoot, problem solve and resolve issues. Passion for simplification and continuous improvement
 </li>
 <li>
 Strong interpersonal skills with the ability to collaborate with team members to understand and develop technology solutions for business needs
 </li>
 <li>
 Organised, strong time management skills and ability to prioritise multiple tasks in order to meet established deadlines
 </li>
 <li>
 Team-player who is a proactive self-starter, with the ability to work without oversight.
 </li>
 <li>
 Strong ethical standards regarding the handling of information.
 </li>
 <li>
 Ability to work quickly and accurately, and within a cross-culture and global environment.
 </li>
 <li>
 Ability to work with a broad, virtual team
 </li>
 <li>
 Proficiency in MS Office Suite and SQL desirable.
 </li>
 <li>
 Analytically minded with good numerical ability and logical reasoning
 
 
 </li>
 </ul>
 
 Please Note
 
 
 
 
 All official offers from Unilever are issued only via our Applicant Tracking System (ATS). Offers from individuals or unofficial sources may be fraudulent&mdash;please verify before proceeding.
 
</div>

Meesho

<div>
 
 About The Team
 
 
 
 Our Data Science team is the Avengers to Meesho&rsquo;s S.H.I.E.L.D 🛡️. And why not? We are the ones who assemble during the toughest challenges and devise creative solutions, building intelligent systems for millions of our users looking at a thousand different categories of products. We&rsquo;ve barely scratched the surface, and have amazing challenges in charting the future of commerce for Bharat.
 
 
 Our typical day involves dealing with fraud detection, inventory optimisation, and platform vernacularisation.
 
 
 As Data Scientist, you will navigate uncharted territories with us, discovering new paths to creating solutions for our users.🔍 You will be at the forefront of interesting challenges and solve unique customer problems in an untapped market.
 
 
 But wait &ndash; there&rsquo;s more to us. Our team is huge on having a well-rounded personal and professional life. When we aren't nose-deep in data, you will most likely find us belting &ldquo;Summer of 69&rdquo; at the nearest Karaoke bar, or debating who the best Spider-Man is: Maguire, Garfield, or Holland? You tell us ☺️
 
 
 
 About The Role
 
 
 
 Love deep data? Love discussing solutions instead of problems? Then you could be our next Data Scientist.
 
 
 In a nutshell, your primary responsibility will be enhancing the productivity and utilisation of the generated data. Other things you will do include working closely with the business stakeholders, transforming scattered pieces of information into valuable data and sharing and presenting your valuable insights with peers.
 
 
 
 What You Will Do
 
 
 
 <ul>
 <li>
 Develop models and run experiments to infer insights from hard data
 </li>
 <li>
 Improve our product usability and identify new growth opportunities
 </li>
 <li>
 Understand reseller preferences to provide them with the most relevant products
 </li>
 <li>
 Designing discount programs to help our resellers sell more
 </li>
 <li>
 Help resellers better recognise end-customer preferences to improve their revenue
 </li>
 <li>
 Use data to identify bottlenecks that will help our suppliers meet their SLA requirements
 </li>
 <li>
 Model seasonal demand to predict key organisational metrics
 </li>
 <li>
 Mentor junior data scientists in the team
 
 
 
 </li>
 </ul>
 
 What You Will Need
 
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in computer science (or similar degrees)
 </li>
 <li>
 4-7 years of experience as a Data Scientist in a fast-paced organization, preferably B2C
 </li>
 <li>
 Familiarity with Neural Networks, Machine Learning etc.
 </li>
 <li>
 Familiarity with tools like SQL, R, Python, etc.
 </li>
 <li>
 Strong understanding of Statistics and Linear Algebra
 </li>
 <li>
 Strong understanding of hypothesis/model testing and ability to identify common model testing errors
 </li>
 <li>
 Experience designing and running A/B tests and drawing insights from them
 </li>
 <li>
 Proficiency in machine learning algorithms
 </li>
 <li>
 Excellent analytical skills to fetch data from reliable sources to generate accurate insights
 </li>
 <li>
 Experience in tech and product teams is a plus
 
 
 
 </li>
 </ul>
 
 Bonus Points For
 
 
 
 <ul>
 <li>
 Experience in working on personalization or other ML problems
 </li>
 <li>
 Familiarity with Big Data tech stacks like Apache Spark, Hadoop, Redshift
 </li>
 </ul>
</div>

Data Scientist III

Nokia

<div>
 
 Job Description
 
 
 
 As a Senior Data Scientist focusing on Autonomous Networks at Nokia, you will be a key player on a dynamic team dedicated to revolutionizing telecom services through AI and machine learning. You will work closely with cross-functional teams, including engineers, product managers, and executive stakeholders, to design and implement cutting-edge data-driven solutions tailored for Communication Service Providers. You will engage directly with customers to understand their needs and drive the deployment of scalable AI/ML use cases that enhance network efficiency and performance.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML solutions for Autonomous Networks (AN).
 </li>
 <li>
 Build and manage cognitive data products for large-scale telecom AI/ML deployments.
 </li>
 <li>
 Research and implement advanced ML techniques to enhance existing systems.
 </li>
 <li>
 Collaborate with CSP customers to create scalable, data-driven solutions.
 </li>
 <li>
 Manage the complete data lifecycle, from ingestion to monitoring and retraining.
 </li>
 <li>
 Serve as a senior subject matter expert for data science and ML in AN, contributing to business development and technology evaluation.
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 You have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Statistics, Data Science, Mathematics, or a related field.
 </li>
 <li>
 15+ years total experience, including 10+ years in telecom and 5+ years in AI/ML &amp; cloud technologies.
 </li>
 <li>
 Knowledge of telecom network data (OSS/BSS, CDRs, performance, fault, CX data).
 </li>
 <li>
 Expertise in Python, SQL, PySpark, TensorFlow/PyTorch, and Scikit-learn.
 </li>
 <li>
 Experience with Vertex AI, Red Hat OpenShift AI, and Kubernetes.
 
 
 </li>
 </ul>
 It would be nice if you also had:
 
 
 <ul>
 <li>
 Familiarity with network automation, service assurance, and intent-based networking.
 </li>
 <li>
 Pre-sales experience like RFPs, solution demos, customer workshops.
 </li>
 <li>
 Knowledge of Data Mesh, Data Fabric, and MLOps frameworks.
 </li>
 <li>
 Experience with Snowflake, Databricks, Kafka, Flink, Airflow, and visualization tools like Tableau or Power BI.
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
 
 
 
 About The Team
 
 
 
 As Nokia's growth engine, we create value for communication service providers and enterprise customers by leading the transition to cloud-native software and as-a-service delivery models. Our inclusive team of dreamers, doers and disruptors push the limits from impossible to possible.
</div>

Domain Architect - Data Science

Explore 459+ Data science specialist in Mangaluru this December. Find roles across top companies and apply now to boost your career.

459 data science specialist jobs IN Mangaluru

Data Scientist

Data Science

Data Scientist / ML Engineer

Data Scientist

Data Scientist

Data Scientist III

Domain Architect - Data Science