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data scientist (commercial)

data science engineer

Microsoft

<div>
 
 Overview
 
 
 
 We are seeking a passionate and technically skilled Data Scientist II to join the Commerce &ndash; Platforms, Data, and Experiences (PDX) team. This team plays a pivotal role in shaping Microsoft&rsquo;s commerce data strategy, building scalable data platforms, and delivering actionable ML driven insights that drive business transformation across the ecosystem.
 
 
 As a Data Scientist II in PDX, you will work at the intersection of data engineering, data processing, and machine learning to solve complex business problems. You will collaborate with cross-functional teams to design experiments, build predictive models, and develop scalable solutions that enhance decision-making and customer experiences by producing descriptive, diagnostic, predictive and prescriptive insights.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement advanced analytics solutions to support commerce data platform initiatives including analytics based on Machine Learning Models.
 </li>
 <li>
 Partner with engineering and product teams to define data requirements and ensure high-quality data pipelines.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and model evaluation using structured and unstructured datasets.
 </li>
 <li>
 Ensure the models built are operable, scalable, extensible and performant.
 </li>
 <li>
 Develop dashboards, visualizations, and storytelling artifacts to communicate insights to stakeholders.
 </li>
 <li>
 Lead experimentation efforts to evaluate new features, forecasting, data quality and anomaly detection systems.
 </li>
 <li>
 Build extensible solutions on LLM models to improve productivity of engineers across the commerce organization.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Statistics, Mathematics, or related field.
 </li>
 <li>
 2+ years of experience in data science, analytics, or applied machine learning.
 </li>
 <li>
 Proficiency in Python, SQL, and ML frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Experience with cloud platforms (Azure preferred) and big data technologies.
 </li>
 <li>
 Strong understanding of statistical modeling, predictive analytics, and experimentation design.
 </li>
 <li>
 Excellent communication and stakeholder management skills.
 </li>
 <li>
 Demonstrated experience leveraging AI tools and technologies to enhance engineering effectiveness, coupled with a strong curiosity and commitment to continuous learning in the field of Artificial Intelligence.
 
 
 </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 Engineer

Eli Lilly and Company

<div>
 At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.
 
 
 
 Software Engineer
 
 
 
 
 About The Technology Organization
 
 
 
 Technology at Lilly builds and maintains capabilities using pioneering technologies like most prominent tech companies. What differentiates Technology at Lilly is that we create new possibilities through tech to advance our purpose &ndash; creating medicines that make life better for people around the world, like data driven drug discovery and connected clinical trials. We hire the best technology professionals from a variety of backgrounds, so they can bring an assortment of knowledge, skills, and diverse thinking to deliver solutions in every area of our business.
 
 
 
 About The Business Function
 
 
 
 The Software Product Engineering (SPE) team is a specialised engineering group that delivers strategic solutions and differentiated capabilities. We take a forward-thinking approach, focusing on an enterprise platform and product mindset, ensuring that the solutions we build can be leveraged across Technology teams for broader impact and efficiency.
 
 
 
 Job Title: Software Engineer
 
 
 
 
 Role Summary
 
 
 
 As a Software Engineer, you will develop and maintain user-friendly, responsive, and accessible web interfaces using React and related technologies. You will collaborate with cross-functional teams to deliver high-quality solutions that enhance user experience and support business objectives.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Develop and maintain user-friendly frontend components using React and related libraries.
 </li>
 <li>
 Build responsive and accessible user interfaces, ensuring a great experience for all users.
 </li>
 <li>
 Collaborate with backend engineers to integrate APIs and deliver seamless features.
 </li>
 <li>
 Participate in code reviews and contribute ideas to improve our engineering practices.
 </li>
 <li>
 Analyse and debug software to enhance performance and maintainability.
 </li>
 <li>
 Work closely with product, design, and engineering teams to deliver high-quality solutions.
 </li>
 <li>
 Embrace opportunities to learn new technologies and tools as part of your growth.
 
 
 
 </li>
 </ul>
 
 How You Will Succeed
 
 
 
 <ul>
 <li>
 Apply modern frontend workflows and build tools (e.g., Webpack, Babel, ESLint).
 </li>
 <li>
 Integrate with backend services via RESTful APIs.
 </li>
 <li>
 Demonstrate strong communication and collaboration skills.
 </li>
 <li>
 Participate in code reviews and continuous improvement.
 
 
 
 </li>
 </ul>
 
 What You Should Bring
 
 
 
 <ul>
 <li>
 2&ndash;4 years of hands-on experience building web applications with React (or similar frameworks).
 </li>
 <li>
 Good understanding of JavaScript (ES6+), HTML5, and CSS3.
 </li>
 <li>
 Exposure to state management tools (e.g., Redux, Context API) is a plus.
 </li>
 <li>
 Familiarity with accessibility and performance optimisation best practices.
 </li>
 <li>
 Experience integrating with backend services via RESTful APIs.
 </li>
 <li>
 Exposure to version control (Git) and basic CI/CD concepts.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience).
 </li>
 <li>
 Demonstrated curiosity, enthusiasm, and willingness to learn new technologies.
 
 
 
 </li>
 </ul>
 
 Basic Qualifications And Experience Requirement
 
 
 
 <ul>
 <li>
 2&ndash;4 years of hands-on experience building web applications.
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience).
 
 
 
 </li>
 </ul>
 
 Additional Skills/Preferences
 
 
 
 <ul>
 <li>
 Experience with TypeScript, Material-UI, or other component libraries.
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, GCP) or containerisation (Docker) is a plus.
 </li>
 <li>
 Experience with unit testing frameworks (e.g., Jest, React Testing Library).
 </li>
 <li>
 Interest in contributing to open-source projects or tech communities.
 </li>
 <li>
 Understanding of Agile methodologies and software development lifecycle (SDLC).
 </li>
 <li>
 Experience in regulated industries (e.g., Life Sciences) is a bonus but not required.
 
 
 
 </li>
 </ul>
 Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (https://careers.lilly.com/us/en/workplace-accommodation) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.
 
 
 Lilly does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status.
 
 
 #WeAreLilly
</div>

Software Engineer

<div>
 
 Overview
 
 
 
 Are you a Senior Software Engineer
 
 (Frontend-focused Full Stack Developer)
 
 passionate about revolutionizing experiences through cutting-edge innovations? Does the challenge of building highly performant, distributed, scalable, intelligent, and compliant cloud-based agentic solutions excite you? If so, the Planner team wants you to help shape the future of work and productivity. Our mission is to redefine Project Management experience by developing AI powered high-value technologies for a global audience. As part of the Planner team, you&rsquo;ll work in a fast-paced, collaborative environment to solve complex problems and deliver impactful &amp; quality solutions. Together, we are pushing the boundaries of what's possible in modern productivity. 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>
 Design and developing high quality, performance and easily maintainable software.
 </li>
 <li>
 Collaborating with cross-functional disciplines to drive design, development, testing, and release of software that enhances customer experience.
 </li>
 <li>
 Striving for engineering excellence by helping evolve development guidelines, engineering practices, tools, and process.
 </li>
 <li>
 Building highly optimized and performant experiences that delight our users.
 </li>
 <li>
 Fostering data drives and experimentation approaches in everything we do.
 </li>
 <li>
 Mentoring SWEs and SWE2.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python - OR equivalent experience.
 </li>
 <li>
 Solid technical acumen and coding skills.
 </li>
 <li>
 Demonstrate a growth mindset and a passion for learning new technologies.
 </li>
 <li>
 Excellent communication, collaboration, planning and problem-solving skills.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 </li>
 <li>
 Experience in building performance and scalable Web Apps is preferred.
 
 
 </li>
 </ul>
 Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
 
 
 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>

Senior Software Engineer (Frontend-focused Full Stack Developer)

Chryselys

<div>
 
 We&rsquo;re Hiring: Consultant &ndash; Insights &amp; Analytics at Chryselys
 
 
 
 
 Location:
 
 Hyderabad
 
 
 
 Department:
 
 Insights &amp; Analytics
 
 
 
 Job Type:
 
 Full-time
 
 
 
 Reports To:
 
 Manager
 
 
 
 About Us
 
 
 
 
 Chryselys
 
 is a Pharma Analytics &amp; Business consulting company that delivers data-driven insights leveraging AI-powered, cloud-native platforms to achieve high-impact transformations.
 
 
 We specialize in digital technologies and advanced data science techniques that provide strategic and operational insights.
 
 
 
 Who We Are
 
 
 
 
 People -
 
 Our team of industry veterans, advisors and senior strategists have diverse backgrounds and have worked at top tier companies.
 
 
 
 Quality -
 
 Our goal is to deliver the value of a big five consulting company without the big five cost.
 
 
 
 Technology
 
 - Our solutions are Business centric built on cloud native technologies.
 
 
 
 Role Overview
 
 
 
 As a Data Scientist Consultant at Chryselys, you will leverage advanced analytics, machine learning, and AI to transform complex datasets into actionable insights that drive strategic decision-making for our clients in the pharmaceutical and healthcare industries. You will work closely with cross-functional teams, including client stakeholders, business consultants, and analytics experts, to develop predictive models, optimize operations, and deliver innovative solutions that address critical business challenges.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning models and algorithms to analyze pharmaceutical datasets (e.g., IQVIA, Symphony, Veeva, Open data) and provide actionable insights.
 </li>
 <li>
 Utilize advanced statistical techniques and data science methodologies to drive insights from complex data sources.
 </li>
 <li>
 Build and maintain data pipelines and scalable machine learning models on Data Lake architecture, leveraging cloud-based platforms such as AWS (Redshift, S3, SageMaker, etc.).
 </li>
 <li>
 Collaborate with cross-functional teams to translate business problems into data science solutions.
 </li>
 <li>
 Create and present data visualizations, dashboards, and reports using tools like PowerBI, Tableau, Qlik, QuickSight, and ThoughtSpot to communicate findings and recommendations to clients.
 </li>
 <li>
 Conduct exploratory data analysis, data profiling, and feature engineering to prepare datasets for predictive modelling.
 </li>
 <li>
 Evaluate model performance, optimize algorithms, and ensure robustness and accuracy in predictions.
 </li>
 <li>
 Stay current with the latest advancements in data science, machine learning, and AI, and apply them to ongoing projects.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 Education: Bachelor's or master's degree in data science, statistics, computer science, engineering, or a related quantitative field with a strong academic record.
 </li>
 <li>
 Experience: 5 years of experience in data science, particularly in the pharmaceutical or healthcare industry, working with key datasets like Sales, Claims, and Payer data.
 </li>
 <li>
 Skills:
 </li>
 <li>
 Proficiency in programming languages such as Python and R, with a deep understanding of libraries like TensorFlow, Scikit-learn, and Pandas.
 </li>
 <li>
 Strong experience with SQL and cloud-based data processing environments such as AWS (Redshift, Athena, S3), and experience with Jupyter Notebooks/SageMaker.
 </li>
 <li>
 Demonstrated ability to build data visualizations and communicate insights through tools like PowerBI, Tableau, Qlik, QuickSight, or similar.
 </li>
 <li>
 Strong analytical skills, with experience in hypothesis testing, A/B testing, and statistical analysis.
 </li>
 <li>
 Ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex data science concepts to non-technical stakeholders.
 </li>
 <li>
 A strong problem-solving mindset, with the ability to adapt and innovate in a dynamic consulting environment.
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Ready to make an impact? Apply now by clicking [here] or visit our careers page at https://chryselys.com/chryselys-career/
 
 
 Please include your resume and a cover letter detailing why you&rsquo;re the perfect fit for this role.
 
 
 
 Equal Employment Opportunity
 
 
 
 Chryselys is proud to be an Equal Employment Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 Connect With Us
 
 
 
 Follow us for updates and more opportunities: https://www.linkedin.com/company/chryselys/mycompany/
 
 
 
 Discover more about our team and culture:
 
 www.chryselys.com
</div>

Consultant Insights & Analytics (Data Science)

Foundation Finance Company Careers

<div>
 
 A Principal Engineer (PE) is a senior-level role in engineering, characterized by high-level technical expertise, leadership, and strategic thinking. PE will guide engineering teams, set technical direction, and contribute to the overall organizational goals. PE will focus on long-term technical strategies and innovation. PE will own the architecture and design of multiple applications at org level.
 
 
 
 
 
 This role will excel in leadership of our evolving technology stack, which currently includes JavaScript, GraphQL, Jest, Kafka, MERN (MongoDB, Express, React, Node.js),NestJS, Redis, SQL, and TypeScript, and demonstrate proficient skills in test-driven development, RESTful APIs, collaboration, communication, security best practices, and performance optimization.
 
 
 
 
 
 Starting pay 35+ LPA -
 
 based on experience
 
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Engineering or similar relevant field
 </li>
 <li>
 10+ years of experience in a development role OR combination of education and experience in front end, middleware, or backend development.
 </li>
 </ul>
 
 
 
 
 
 Essential Duties and Responsibilities
 
 included the following. Other duties may be assigned.
 
 <ul>
 <li>
 Provide technical guidance and mentorship to engineering teams, ensuring high-quality solutions and adherence to best practices.
 </li>
 <li>
 Contribute to the overall technical strategy and direction of the organization, often influencing product development and long-term goals.
 </li>
 <li>
 Help grow the development practice via coding, code reviewing, acting as a technical bridge on the team, as well as being able to dig into some of the more complex areas of the system when knowledge is lacking in house.
 </li>
 <li>
 Drive innovation, identify and solve complex technical challenges, and develop creative solutions
 </li>
 <li>
 Work closely with other engineering teams, product managers, and stakeholders to ensure alignment and effective communication.
 </li>
 <li>
 Maintain knowledge of security best practices in web development to safeguard customer and company data.
 </li>
 <li>
 Scour and evaluate new technologies and contribute to the overall product roadmaps of both internal and external 3rd party systems.
 </li>
 <li>
 Mentor and develop junior engineers, fostering their technical growth and career advancement.
 </li>
 <li>
 Other duties as assigned by management.
 </li>
 </ul>
 
 
</div>

Principal Software Engineer

<div>
 
 Overview
 
 
 
 The Azure Compute Platform team, a cornerstone of Azure Cloud&rsquo;s infrastructure, is experiencing rapid growth. This team leads the way in tackling global challenges with cutting-edge advancements in distributed systems and cloud-native security. The solutions they develop are crucial to the operations of all customer workloads on the Azure cloud.
 
 
 As Azure Cloud strengthens its role as the foundation of enterprise solutions and artificial intelligence, we have unique opportunities to significantly enhance and scale Azure Compute.
 
 
 We are seeking a Software Engineer to work with Azure&rsquo;s core engineers in leading the development of the Azure Compute service, ensuring its scalability and security. We are looking for someone who thrives on solving complex problems and excels at collaborating with various teams to address intricate issues. The ideal candidate will work with urgency while maintaining a strong focus on security.
 
 
 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>
 Work with appropriate stakeholders to determine user requirements for a set of features. Contribute to the identification of dependencies, and the development of design documents for an area for our highly available, globally distributed services.
 </li>
 <li>
 Create and implement code for a product, service, or feature, reusing code as applicable to solve complex engineering challenges in data management, performance, durability, scale, and security and resiliency.
 </li>
 <li>
 Collaborate with engineers across Azure to deliver seamless data resiliency integrations. Continuously improve reliability, cost efficiency, and customer experience.
 </li>
 <li>
 Act as a Designated Responsible Individual (DRI) in monitoring system/product feature/service for degradation, downtime, or interruptions for simple problems, and recommends actions to restore system/product/service by following the playbook.
 </li>
 <li>
 Review current developments and proactively seeks new knowledge that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
 </li>
 <li>
 1+ year(s) experience in object-oriented programming or managed code (e.g., C#, Java, C++, Go, or similar).
 </li>
 <li>
 2+ years of professional software engineering experience in designing, building, and testing services or large-scale systems.
 
 
 </li>
 </ul>
 
 Other Requirements
 
 
 
 <ul>
 <li>
 Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings:
 </li>
 <ul>
 <li>
 Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
 
 </li>
 </ul>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science
 </li>
 <ul>
 <li>
 OR related technical field AND 1+ year(s) technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, OR Python
 </li>
 <li>
 OR Master's Degree in Computer Science or related technical field with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 1+ year(s) experience with one or more of the following:
 </li>
 <ul>
 <li>
 Cloud services or distributed computing.
 </li>
 <li>
 REST-based service design and integrations across complex ecosystems.
 </li>
 <li>
 Participating live-site accountability.
 
 </li>
 </ul>
 </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>

NStarX

<div>
 As a Data Scientist at NStarX, you will play a key role in analysing large datasets, developing predictive models, and providing actionable insights that drive business decisions. You will collaborate with cross-functional teams to identify trends, build data-driven strategies, and contribute to the continuous improvement of our data processes.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Collect, process, and analyse large datasets to identify trends, patterns, and insights that inform business strategies.
 </li>
 <li>
 Develop and deploy predictive models using statistical, machine learning, and deep learning techniques.
 </li>
 <li>
 Work closely with stakeholders to understand their data needs and translate business requirements into analytical solutions.
 </li>
 <li>
 Build and maintain data pipelines to ensure data quality and accessibility for analysis.
 </li>
 <li>
 Perform exploratory data analysis (EDA) to uncover key insights and guide decision-making.
 </li>
 <li>
 Present findings and recommendations to both technical and non-technical audiences through reports, dashboards, and presentations.
 </li>
 <li>
 Collaborate with data engineers and software developers to integrate analytical solutions into production systems.
 </li>
 <li>
 Stay current with the latest developments in data science and machine learning and apply new techniques as appropriate.
 </li>
 <li>
 Contribute to the development and implementation of best practices for data analysis, modelling, and reporting.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
 </li>
 <li>
 At least 3 years of professional experience in data science or a related role.
 </li>
 <li>
 Proficiency in programming languages such as Python or R.
 </li>
 <li>
 Strong knowledge of statistical analysis, machine learning algorithms, and data visualisation tools.
 </li>
 <li>
 Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn.
 </li>
 <li>
 Familiarity with data visualisation tools such as Tableau, Power BI, or Matplotlib.
 </li>
 <li>
 Experience with SQL and NoSQL databases for data extraction and manipulation.
 </li>
 <li>
 Understanding of cloud platforms like AWS, Azure, or Google Cloud is a plus.
 </li>
 <li>
 Strong problem-solving skills and the ability to work independently and in a team.
 </li>
 <li>
 Excellent communication skills, with the ability to convey complex technical concepts to a non-technical audience.
 </li>
 <li>
 Detail-oriented with a focus on delivering high-quality, accurate work.
 </li>
 <li>
 Experience with big data technologies such as Hadoop, Spark, or Kafka.
 </li>
 <li>
 Knowledge of deep learning frameworks like TensorFlow or PyTorch.
 </li>
 <li>
 Experience with A/B testing and experimental design.
 </li>
 <li>
 Familiarity with version control systems such as Git.
 
 
 </li>
 </ul>
 This job was posted by Younus Shaik from NStarX.
</div>

Data Scientist

Explore 197+ Data science engineer in Hyderabad this December. Find roles across top companies and apply now to boost your career.

197 data science engineer jobs IN Hyderabad

Data Science Engineer

Software Engineer

Senior Software Engineer (Frontend-focused Full Stack Developer)

Consultant Insights & Analytics (Data Science)

Principal Software Engineer

Software Engineer

Data Scientist