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data analyst

Persistent Systems

<div>
 
 
 About Position:
 
 
 
 
 
 
 The Senior Commercial Data Analyst is responsible for leveraging analytical frameworks and tools to support the organization in planning, optimizing performance, and driving data-informed decision-making. This role is crucial in creating actionable insights by analyzing historical data, developing future projections, and generating business insights for key stakeholders. The analyst will also conduct campaign performance evaluations and deliver recommendations for process improvements. This position requires technical expertise, critical thinking, and strong stakeholder communication.
 
 
 
 
 <ul>
 <li>
 
 Role: Data Analyst
 
 </li>
 <li>
 
 Location: Pune
 
 </li>
 <li>
 
 Experience: 7 to 10 Years
 
 </li>
 <li>
 
 Job Type: Full Time Employment
 
 </li>
 </ul>
 
 
 
 
 
 What You'll Do:
 
 
 
 
 
 <ul>
 <li>
 Path to Target Analysis
 </li>
 <li>
 Purpose: Evaluate and project the expected performance of business plans (program plans, sales plans, event plans, etc.) against Annual Operating Plan (AOP) goals.
 </li>
 <li>
 Activities:
 </li>
 <li>
 Conduct 6-quarter look-back analysis of full funnel performance metrics.
 </li>
 <li>
 Develop the methodology, analyze data, and provide business insights on the health of new customer acquisition commercial programs by market
 </li>
 <li>
 Analyze spend and capacity data to create realistic future projections.
 </li>
 <li>
 Validate inputs from cross-functional teams, ensuring alignment with historical and market data.
 </li>
 <li>
 Deliver a "Path to Target" document outlining expected funnel metrics for proposed plans.
 </li>
 <li>
 Purpose: Evaluate the success or failure of commercial programs to uncover actionable insights for future efforts.
 </li>
 <li>
 Activities:
 </li>
 <li>
 Analyze key traits of successful or unsuccessful campaigns.
 </li>
 <li>
 Identify root causes of poor performance and areas for improvement.
 </li>
 <li>
 Deliver concise recommendations for optimizing future efforts.
 </li>
 <li>
 Conduct stakeholder communication, data transformation, and quality assurance.
 </li>
 <li>
 Business Insights
 </li>
 <li>
 Purpose: Provide go-to-market, BDR, Sales, and marketing teams with actionable insights and recommendation based on visualizations/reports.
 </li>
 <li>
 Activities:
 </li>
 <li>
 Collaborate with Enterprise Apps on data and reporting requirements focused on ICP, channel reporting, economic metrics, and goal pacing.
 </li>
 <li>
 Define metrics required for tracking progress on business objectives
 </li>
 <li>
 Collaborate with Data Visualization team on requirements specification
 </li>
 <li>
 Perform UAT on Visualizations created by Data Visualization team
 </li>
 <li>
 Leverage visualizations to perform analysis on Revops business processes and generate insights
 </li>
 <li>
 Refine and document business processes based on analysis and insights
 </li>
 <li>
 Create supplementary executive reports based on visualizations and insights
 </li>
 </ul>
 
 
 
 
 
 Expertise You'll Bring:
 
 
 
 
 
 <ul>
 <li>
 Advanced proficiency in Snowflake, SQL, DBT, Quicksight, and Excel.
 </li>
 <li>
 Behavioral Skills: - Strong problem-solving abilities. - Excellent communication and stakeholder management. - Time management and adaptability. - Attention to detail and critical thinking.
 </li>
 <li>
 Functional Skills: - Business acumen and strategic thinking. - Data analysis and process improvement. - Ability to translate complex data into actionable insights.
 </li>
 <li>
 Preferred Skills &amp; Qualifications
 </li>
 <li>
 Prior experience with marketing analytics and campaign evaluations. - Familiarity with data visualization best practices. - Experience in stakeholder communication and cross-functional collaboration.
 </li>
 <li>
 Key Outputs
 </li>
 <li>
 "Path to Target" documents with realistic funnel metric projections.
 </li>
 <li>
 Business insights presentations with actionable recommendations.
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary and benefits package
 </li>
 <li>
 Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
 </li>
 <li>
 Opportunity to work with cutting-edge technologies
 </li>
 <li>
 Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
 </li>
 <li>
 Annual health check-ups
 </li>
 <li>
 Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
 </li>
 </ul>
 
 
 
 
 
 Values-Driven, People-Centric &amp; Inclusive Work Environment:
 
 
 
 
 
 
 Persistent Ltd. is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
 
 
 
 
 <ul>
 <li>
 We support hybrid work and flexible hours to fit diverse lifestyles.
 </li>
 <li>
 Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
 </li>
 <li>
 If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
 </li>
 </ul>
 
 
 
 
 
 Let&rsquo;s unleash your full potential at Persistent - persistent.com/careers
 
 
 
 
 
 
 
 
 &ldquo;Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.&rdquo;
 
 
 
</div>

Data Analyst

Siemens Digital Industries Software

<div>
 We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation - helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.
 
 
 Siemens Digital Industries Software is seeking a highly analytical and detail-oriented Data Analyst to join our team, with a focus on market and competitive intelligence. In this role, you will be instrumental in collecting, cleaning, and interpreting various data sets to uncover trends, patterns, and actionable insights. You will apply advanced analytical techniques, including correlation analysis, statistical analysis, and the development of predictive models, to inform strategic decisions and improve efficiency across different time zones. This position will work directly with US based peers. A key responsibility will be to translate complex analytical findings into clear, compelling, and informative PowerPoint presentations for diverse audiences.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Data Collection &amp; Sourcing: Identify, extract, and consolidate data from diverse internal and external sources.
 </li>
 <li>
 Data Cleaning &amp; Preprocessing: Ensure the accuracy, consistency, and completeness of data through validation and transformation processes, preparing it for analysis.
 </li>
 <li>
 In-depth Data Analysis: Conduct comprehensive analysis including identifying significant trends, patterns, anomalies; understand relationships between different variables; and develop and apply predictive models (e.g., regression, time series forecasting).
 </li>
 <li>
 Insight Generation: Translate complex analytical findings into clear, concise, and actionable insights.
 </li>
 <li>
 Reporting &amp; Presentation: Design and create highly informative and visually engaging PowerPoint presentations and/or reports to effectively communicate analytical results and insights.
 </li>
 <li>
 Collaboration &amp; Stakeholder Engagement: Partner closely with global Strategic Planning and Data Analytics teams maintaining effective handoffs.
 
 
 </li>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Advanced Data Analysis: Strong proficiency in statistical analysis, hypothesis testing, regression analysis, time series analysis, and other quantitative methods.
 </li>
 <li>
 Predictive Modeling: Demonstrated experience in developing and applying predictive models to real-world business problems.
 </li>
 <li>
 Presentation &amp; Communication: Exceptional ability to create clear, compelling, and visually appealing PowerPoint presentations that effectively convey complex analytical findings and tell a data story. Excellent verbal and written communication skills.
 </li>
 <li>
 Problem-Solving: Highly analytical mindset with strong problem-solving skills and the ability to translate business questions into analytical frameworks.
 </li>
 <li>
 Attention to Detail: Meticulous attention to detail in data accuracy, analysis, and reporting.
 </li>
 <li>
 Educational and Work Background: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field.
 </li>
 <li>
 Experience: 3+ years of professional experience in a dedicated Data Analyst, Business Intelligence Analyst, or similar role with a strong emphasis on statistical analysis, predictive modeling, and reporting.
 
 
 </li>
 </ul>
 
 Working at Siemens Digital Industries Software
 
 
 
 
 Why us?
 
 
 
 Working at Siemens Digital Industries Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.
 
 
 We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 
 Transform the everyday
 
 
 
</div>

Amber

<div>
 
 
 About Amber (https://amberstudent.com)
 
 
 
 
 
 
 
 Long-term accommodation booking platform for students (think booking.com for student housing). Amber helps 80M students worldwide, find and book full-time accommodations near their universities, without the hassle of negotiation, non-standardized and cumbersome paperwork, and broken payment process. We are the leading student housing platform globally, with 1M+ student housing units listed in 6 countries and across 80 cities.
 
 
 
 
 We are growing rapidly and targeting $1B in annual gross bookings value by 2024. Amber raised $18.5M from Marquee investors like Gaja capital.
 
 
 
 
 
 
 
 If you are passionate about making international mobility and living, seamless and accessible, then - Join us in building the future of student housing!
 
 
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Developing and maintaining databases, data systems
 </li>
 <li>
 Performing analysis to assess quality and meaning of data
 </li>
 <li>
 Generate dynamic dashboards and reports
 </li>
 <li>
 Identify, analyze, and interpret patterns and trends in complex data sets that could be helpful for the diagnosis and prediction
 </li>
 <li>
 Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.
 </li>
 <li>
 Analyzing local, national, and global trends that impact both the organization and the industry Preparing reports for the management stating trends, patterns, and predictions using relevant data
 </li>
 </ul>
 
 
 
 
 
 Skills required:
 
 
 <ul>
 <li>
 Strong hands-on experience with
 
 SQL (Redshift, BigQuery, or PostgreSQL)
 
 </li>
 <li>
 Familiarity with
 
 Python or R
 
 for data wrangling and light ML
 </li>
 <li>
 Comfort with
 
 BI tools
 
 &mdash; Tableau, Power BI, or Google Data Studio
 </li>
 <li>
 Solid grounding in
 
 data cleaning, feature engineering, and visualization
 
 </li>
 <li>
 Curious about the
 
 why
 
 behind metrics &mdash; not just reporting numbers but questioning them
 </li>
 <li>
 Understanding of
 
 A/B testing
 
 ,
 
 funnels
 
 ,
 
 marketing attribution
 
 , or
 
 user cohort analysis
 
 is a plus
 </li>
 <li>
 Good communication skills &mdash; able to convert data findings into actionable business stories
 </li>
 </ul>
 
 
</div>

Bits In Glass

<div>
 
 
 Title:
 
 Google Cloud Infrastructure / DevOps Engineer
 
 
 
 Location:
 
 Pune / Hyderabad / Mohali
 
 
 
 
 
 
 Job Summary:
 
 
 
 
 
 As a Google Cloud Infrastructure / DevOps Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure while ensuring efficient development operations. Your role bridges the gap between development and operations, focusing on automation, scalability, and reliability. You'll collaborate with cross-functional teams to optimize our systems and enhance delivery pipelines.
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 <ul>
 <li>
 Cloud Infrastructure Management:
 </li>
 </ul>
 
 ● Manage and monitor Google Cloud Platform (GCP) services and components.
 
 
 ● Ensure high availability, scalability, and security of cloud resources.
 
 <ul>
 <li>
 CI/CD Pipeline Implementation:
 </li>
 </ul>
 
 ● Design and implement automated deployment pipelines for application releases.
 
 
 ● Build and maintain continuous integration and continuous deployment (CI/CD) pipelines.
 
 
 ● Collaborate with developers to streamline application deployment processes.
 
 
 ● Automate testing, deployment, and rollback procedures.
 
 <ul>
 <li>
 Infrastructure as Code (IaC):
 </li>
 </ul>
 
 ● Use tools like Terraform to define and manage infrastructure.
 
 
 ● Maintain version-controlled infrastructure code.
 
 
 ● Ensure consistency across development, staging, and production environments.
 
 <ul>
 <li>
 Monitoring and Troubleshooting:
 </li>
 </ul>
 
 ● Monitor system performance, resource utilization, and application health.
 
 
 ● Troubleshoot and resolve issues related to cloud infrastructure and deployment pipelines.
 
 
 ● Implement proactive monitoring and alerting mechanisms.
 
 <ul>
 <li>
 Security and Compliance:
 </li>
 </ul>
 
 ● Apply security best practices to protect cloud resources.
 
 
 ● Ensure compliance with industry standards and internal policies.
 
 
 ● Collaborate with security teams to address vulnerabilities.
 
 <ul>
 <li>
 Collaboration and Documentation:
 </li>
 </ul>
 
 ● Work closely with development, operations, and QA teams.
 
 
 ● Document infrastructure architecture, processes, and configurations.
 
 
 ● Share knowledge and best practices with team members.
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 
 
 ●
 
 Education:
 
 Bachelor's degree in Computer Science, Information Technology, or related field.
 
 
 ●
 
 Experience:
 
 
 
 ● Minimum of 3 years of industry experience, including at least 1 year designing and managing production systems using Google Cloud.
 
 
 ● Familiarity with GCP services (Compute Engine, Kubernetes Engine, Cloud Storage, etc.).
 
 
 ● Exposure to containerization (Docker, Kubernetes) and microservices architecture.
 
 
 
 
 
 
 
 Skills:
 
 
 
 ● Proficiency in Python or Bash scripting for automation.
 
 
 ● Strong understanding of DevOps principles and practices.
 
 
 ● Knowledge of Jenkins or other CI/CD tools.
 
 
 ● Experience with GKE (Google Kubernetes Engine) for container orchestration.
 
 
 ● Familiarity with event streaming platforms (e.g., Kafka, Google Cloud Pub/Sub).
 
 
 
 
 
 
 
 
 
 Company Description: Bits in Glass - India
 
 
 
 ●
 
 Industry Leader:
 
 
 
 &cir; Bits in Glass(BIG) has been in business for more than 20 years. In 2021 Bits in Glass joined hands with Crochet Technologies, forming a larger organization under the Bits In Glass brand to better serve customers across the globe.
 
 
 &cir; Offices across three locations in India: Pune, Hyderabad &amp; Chandigarh.
 
 
 &cir;
 
 Specialized Pega partner since 2017
 
 , delivering Pega solutions with deep industry expertise and experience.
 
 
 &cir; Proudly ranked among the top 30 Pega partners, Bits In Glass has been one of the very few sponsors of the annual PegaWorld event.
 
 
 &cir;
 
 Elite Appian partner since 2008
 
 , delivering Appian solutions with deep industry expertise and experience.
 
 
 &cir; Operating in the United States, Canada, United Kingdom, and India.
 
 
 &cir; Dedicated global Pega CoE to support our customers and internal dev teams.
 
 
 ●
 
 Employee Benefits:
 
 
 
 &cir;
 
 Career Growth:
 
 Opportunities for career advancement and professional development.
 
 
 &cir;
 
 Challenging Projects:
 
 Work on innovative, cutting-edge projects that make a global impact.
 
 
 &cir;
 
 Global Exposure:
 
 Collaborate with international teams and clients to broaden your professional network.
 
 
 &cir;
 
 Flexible Work Arrangements:
 
 Support for work-life balance through flexible working conditions.
 
 
 &cir;
 
 Comprehensive Benefits:
 
 Competitive compensation packages and comprehensive benefits including health insurance, and paid time off.
 
 
 &cir;
 
 Learning Opportunities-
 
 Great opportunity to upskill yourself and work on new technologies like AI-enabled Pega solutions, Data engineering, Integration, cloud migration etc.
 
 
 ●
 
 Company Culture:
 
 
 
 &cir;
 
 Collaborative Environment:
 
 Emphasizes teamwork, innovation, and knowledge sharing.
 
 
 &cir;
 
 Inclusive Workplace:
 
 Values diversity and fosters an inclusive environment where all ideas are respected.
 
 
 &cir;
 
 Continuous Learning:
 
 Encourages professional development through ongoing learning opportunities and certifications.
 
 
 ●
 
 Core Values:
 
 
 
 &cir;
 
 Integrity:
 
 Commitment to ethical practices and transparency in all business dealings.
 
 
 &cir;
 
 Excellence:
 
 Strive for the highest standards in everything we do.
 
 
 &cir;
 
 Client-Centric Approach:
 
 Focus on delivering the best solutions tailored to client needs
 
 
 
</div>

Addepar

<div>
 
 Who We Are
 
 
 
 Addepar is a global technology and data company that helps investment professionals provide the most informed, precise guidance for their clients. Hundreds of thousands of users have entrusted Addepar to empower smarter investment decisions and better advice over the last decade. With client presence in more than 50 countries, Addepar's platform aggregates portfolio, market and client data for over $8 trillion in assets. Addepar's open platform integrates with more than 100 software, data and services partners to deliver a complete solution for a wide range of firms and use cases. Addepar embraces a global flexible workforce model with offices in New York City, Salt Lake City, Chicago, London, Edinburgh, Pune, Dubai, and Geneva.
 
 
 
 The Role
 
 
 
 A Technical Data Analyst is responsible for performing data migration, data conversion and data validation projects for Addepar clients using existing tools and established processes. The ideal candidate will have a good understanding of financial portfolio data, a foundational level of python programming skills, exceptional communication skills and the ability to deliver results in alignment with project deadlines while meeting high quality standards.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Convert, migrate and validate data from external or internal sources using existing tooling with defined processes and workflows
 </li>
 <li>
 Complete data projects on-time meeting project deadlines while adhering to high quality standards
 </li>
 <li>
 Coordinate across project teams communicating regular status updates for assigned data projects and while effectively setting expectations
 </li>
 <li>
 Run python ETL scripts and at times modify, fix or debug as needed
 </li>
 <li>
 Raise keys issues to project team members and senior leadership as necessary
 </li>
 <li>
 Prioritize and context-switch effectively to complete simultaneous projects; seeing each through to the finish line
 </li>
 <li>
 Adhere to project management standard processes
 </li>
 <li>
 Identify and drive opportunities to improve current processes, workflows and tools to increase efficiency and automation
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Minimum 2+ years experience working in technology and finance
 </li>
 <li>
 Experience working with colleagues spread across multiple global locations
 </li>
 <li>
 Must have domain experience wealth/portfolio/investment management.
 </li>
 <li>
 Proficient in Python programming language and well versed in ETL concepts
 </li>
 <li>
 Must have experience working in financial markets and has experience with financial products and wealth / portfolio data.
 </li>
 <li>
 Excellent written and oral communication skills with the ability to convey complex information in an understandable manner
 </li>
 <li>
 Solution-oriented and passion for problem solving
 </li>
 <li>
 Highly organized, close attention to detail and driven to make processes more efficient
 </li>
 <li>
 Positive attitude, good work ethic, proactive and a high contributing teammate
 </li>
 <li>
 Independent, adaptable and can work with minimum supervision
 </li>
 <li>
 Proven ability to manage expectations and provide regular updates to the project team
 
 
 </li>
 </ul>
 
 Important Note: This role will require you to work from Pune office 3 days a week in UK shift i.e. 2:30 PM to 11:30 PM IST. (hybrid role)
 
 
 
 
 Our Values
 
 
 
 <ul>
 <li>
 Act Like an Owner - Think and operate with intention, purpose and care. Own outcomes.
 </li>
 <li>
 Build Together - Collaborate to unlock the best solutions. Deliver lasting value.
 </li>
 <li>
 Champion Our Clients - Exceed client expectations. Our clients&rsquo; success is our success.
 </li>
 <li>
 Drive Innovation - Be bold and unconstrained in problem solving. Transform the industry.
 </li>
 <li>
 Embrace Learning - Engage our community to broaden our perspective. Bring a growth mindset.
 
 
 </li>
 </ul>
 In addition to our core values, Addepar is proud to be an equal opportunity employer. We seek to bring together diverse ideas, experiences, skill sets, perspectives, backgrounds and identities to drive innovative solutions. We commit to promoting a welcoming environment where inclusion and belonging are held as a shared responsibility.
 
 
 We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 PHISHING SCAM WARNING: Addepar is among several companies recently made aware of a phishing scam involving con artists posing as hiring managers recruiting via email, text and social media. The imposters are creating misleading email accounts, conducting remote &ldquo;interviews,&rdquo; and making fake job offers in order to collect personal and financial information from unsuspecting individuals. Please be aware that no job offers will be made from Addepar without a formal interview process. Additionally, Addepar will not ask you to purchase equipment or supplies as part of your onboarding process. If you have any questions, please reach out to TAinfo@addepar.com.
</div>

Technical Data Analyst - Python

Avantor

<div>
 
 The Opportunity
 
 
 
 A data analyst is responsible for organizing data related to sales numbers, market research, logistics, or other behaviors. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals, businesses, and organizations make better decisions.
 
 
 
 The Opportunity
 
 
 
 As a Data Scientist, you will leverage advanced statistical methods and machine learning techniques to analyze complex datasets, generate insights, and solve business problems. You will be responsible for developing and deploying ML models, performing deep-dive analyses, and collaborating with stakeholders to ensure the data strategy aligns with business objectives.
 
 
 
 What We're Looking For
 
 
 
 The ideal candidate will be responsible for
 
 
 <ul>
 <li>
 Collect, clean, and analyze large datasets to generate insights and recommendations.
 </li>
 <li>
 Develop and implement machine learning models to solve business problems.
 </li>
 <li>
 Maintain ML pipeline and fix production issues in stipulated time.
 </li>
 <li>
 Work on model maintenance and improvise model performance when necessary.
 </li>
 <li>
 Conduct hypothesis testing and statistical analyses to understand data trends.
 </li>
 <li>
 Communicate findings to non-technical stakeholders through reports and visualizations.
 </li>
 <li>
 Collaborate with engineers, product teams, and business stakeholders to translate business goals into data-driven solutions.
 
 
 </li>
 </ul>
 
 CERTIFICATIONS (Good To Have)
 
 
 
 <ul>
 <li>
 ML/AI certifications
 </li>
 <li>
 Cloud certifications &ndash; like AWS, Azure, GCP etc.
 </li>
 <li>
 Databricks or Snowflake certification.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in a quantitative field such as Data Science, Statistics, Computer Science, or Engineering.
 </li>
 <li>
 2+ years of experience in working with a product development company as a ML/AI engineer.
 </li>
 <li>
 2+ years of experience and proficiency in programming languages such as Python, Pyspark, Java.
 </li>
 <li>
 Strong hands-on experience in SQL or data manipulation/query language.
 </li>
 <li>
 2+ years of experience with machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
 </li>
 <li>
 Good knowledge on NLP, transformers, LLM and generative AI.
 </li>
 <li>
 Strong analytical skills and proficiency in statistical analysis and data visualization.
 </li>
 <li>
 Good communication and comprehension skills to explain ML algorithms to stakeholders in a non-technical manner.
 </li>
 <li>
 Good Team player and ability to work in cross-functional teams.
 
 
 </li>
 </ul>
 
 How You Will Thrive And Create An Impact
 
 
 
 <ul>
 <li>
 With your analytical mindset and critical thinking, you will have the opportunity to participate in project development activities and suggest data driven and AI based solutions, which will be the foundation of the success of the project.
 </li>
 <li>
 With you proficient coding skills, you will have the opportunity to develop robust ML pipelines which will be modular, scalable and re-usable.
 </li>
 <li>
 You will have the opportunity to work with great minds who focusses on delivering quality products.
 
 
 </li>
 </ul>
 
 Disclaimer
 
 
 
 The above statements are intended to describe the general nature and level of work being performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of employees assigned to this position. Avantor is proud to be an equal opportunity employer.
 
 
 
 Why Avantor?
 
 
 
 
 Dare to go further in your career.
 
 Join our global team of 14,000+ associates whose passion for discovery and determination to overcome challenges relentlessly advances life-changing science.
 
 
 
 The work we do changes people's lives for the better.
 
 It brings new patient treatments and therapies to market, giving a cancer survivor the chance to walk his daughter down the aisle. It enables medical devices that help a little boy hear his mom's voice for the first time. Outcomes such as these create unlimited opportunities for you to contribute your talents, learn new skills and grow your career at Avantor.
 
 
 We are committed to helping you on this journey through our diverse, equitable and inclusive culture which includes learning experiences to support your career growth and success. At Avantor, dare to go further and see how the impact of your contributions set science in motion to create a better world.
 
 Apply today!
 
 
 
 
 EEO Statement
 
 
 
 We are an Equal Employment/Affirmative Action employer and VEVRAA Federal Contractor. We do not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected Veteran status, or any other characteristic protected by federal, state/province, or local law.
 
 
 If you need a reasonable accommodation for any part of the employment process, please contact us by email at recruiting@avantorsciences.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
 
 
 
 3rd Party Non-solicitation Policy
 
 
 
 By submitting candidates without having been formally assigned on and contracted for a specific job requisition by Avantor, or by failing to comply with the Avantor recruitment process, you forfeit any fee on the submitted candidates, regardless of your usual terms and conditions. Avantor works with a preferred supplier list and will take the initiative to engage with recruitment agencies based on its needs and will not be accepting any form of solicitation
</div>

Data Scientist

Schaeffler

<div>
 Schaeffler is a dynamic global technology company and its success has been a result of its entrepreneurial spirit and long history of private ownership. Does that sound interesting to you? As a partner to all of the major automobile manufacturers, as well as key players in the aerospace and industrial sectors, we offer you many development opportunities.
 
 
 
 Your Key Responsibilities
 
 
 
 <ul>
 <li>
 Research and define analytical models based on given data/information as part of analytical ad hoc feasibility cases, proofs of concepts or with a focus on software development towards deployable analytics solutions.
 </li>
 <li>
 Collaborate with internal and/or external clients to understand business requirements.
 </li>
 <li>
 Compile, sort and organize function-specific information and data in preparation for subsequent analyses.
 </li>
 <li>
 Conduct both routine and instant data cleaning and testing, identify and resolve data quality issues in cooperation with the team.
 </li>
 <li>
 Analyze data for instant feasibility cases and proofs of concepts.
 </li>
 <li>
 Actively contribute in the research and definition of analytical models that will be transferred in the products eventually.
 
 
 </li>
 </ul>
 
 Your Qualifications
 
 
 
 <ul>
 <li>
 Graduate Degree in Business Informatics, Applied Computer Science, Mathematics, Software Engineering, Machine Learning
 </li>
 <li>
 5 to 6 years
 
 
 </li>
 </ul>
 As a global company with employees around the world, it is important to us that we treat each other with respect and value all ideas and perspectives. By appreciating our differences, we inspire creativity and drive innovation. In this way, we contribute to sustainable value creation for our stakeholders and society as a whole. Together, we advance how the world moves.
 
 
 Exciting assignments and outstanding development opportunities await you because we impact the future with innovation. We look forward to your application.
 
 
 www.schaeffler.com/careers
 
 
 
 Your Contact
 
 
 
 Schaeffler Technology Solutions India Pvt. Ltd.
 
 
 Kalyani More
 
 
 For technical questions, please contact this email address: technical-recruiting-support-AP@schaeffler.com
 
 
 Keywords: Experienced; Engineer; Full-Time; Unlimited; Digitalization &amp; Information Technology;
</div>

Data Scientist - Junior

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