principal data scientist

MiQ Digital

<div><p>Role: Principal Data Scientist</p>
<p>
Location: Bengaluru</p>
<p><b>
What you&rsquo;ll do</b></p>
<p>
We&rsquo;re MiQ, a global programmatic media partner for marketers and agencies. Our people are at the heart of everything we do, so you will be too. No matter the role or the location, we&rsquo;re all united in the vision to lead the programmatic industry and make it better.</p>
<p>
As a Principal Data Scientist in our data science department, you&rsquo;ll have the chance to:</p>
<ul>
<li>Provide technical leadership and strategic direction for the data science practice across multiple product teams.</li>
<li>Focus on creating new business opportunities leveraging innovative data science technologies and approaches to solve complex business problems</li>
<li>Drive end-user usage and consumption of Data Science solutions while also striving for technical excellence.</li>
<li>Mentor and guide senior data scientists and engineers, fostering technical growth and excellence within the team.</li>
<li>Driving best practices across teams for - code development, code versioning, unit tests, testing strategies, pipeline architecture, model development &amp; deployment, use of cloud applications, use of AI/ML platforms.</li>
<li>Lead the evaluation and implementation of new data science models, platforms, and technologies to enhance the organization's capabilities.</li>
</ul>
<p><b>Who are your stakeholders?</b></p>
<p>
Internal Consumer/Stakeholders:</p>
<ul>
<li>End Users (Account Managers / Traders / Sales / Analysts): Gather insights into business challenges and user feedback to propose solutions and features for enhanced user experience.</li>
<li>Development Team: Collaborate with Technology Managers to foster technical excellence in product development, ensuring the creation of robust, proven, scalable, data science-driven, and high-impact solutions.</li>
</ul>
<p><b>What you&rsquo;ll bring
</b></p><ul><li>Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.</li>
<li>10 years of hands-on work experience in data science modelling to solve product or business problems.</li>
<li>Experience translating product and business questions into clearly framed investigative projects, performing statistical analysis, and coding (e.g., Python, R, SQL)</li>
<li>Ability to present to business leaders and communicate effectively with highly technical leadership teams.</li>
<li>Understanding of AI Models, Large Language Models, and AI specialized infrastructure especially as it relates to AI trends and enablers within businesses.</li>
<li>Candidates with the ability to set-up and ensure continuous improvement of MLOps &amp; CI/CD processes will be preferred.</li>
<li>Experience in the advertising or ad-tech industry will be a plus.</li>
</ul>
<p>We&rsquo;ve highlighted some key skills, experience and requirements for this role. But please don&rsquo;t worry if you don&rsquo;t meet every single one. Our talent team strives to find the best people. They might see something in your background that&rsquo;s a fit for this role or another opportunity at MiQ.
</p><p>If you have a passion for the role, please still apply.
</p><p><b>What impact will you create?</b></p>
<ul>
<li>Lead the technical strategy and execution of data science initiatives that deliver significant impact across interdependent product lines.</li>
<li>Elevate the technical capabilities of the data science team by driving the adoption of advanced methodologies and best practices.</li>
<li>Ensure the rigor, quality, and ethical integrity of data science outputs across all product domains</li>
<li>Accelerate the experimentation of data science applications by developing rapid POC/MVP to drive business impact.</li>
</ul>
<p><b>What&rsquo;s in it for you?</b></p>
<p>
Our Center of Excellence is the very heart of MiQ, and it&rsquo;s where the magic happens. It means everything you do and everything you create will have a huge impact on our entire global business.</p>
<p>
MiQ is incredibly proud to foster a welcoming culture. We do everything possible to make sure everyone feels valued for what they bring. With global teams committed to diversity, equity, and inclusion, we&rsquo;re always moving towards becoming an even better place to work.</p>
<p><b>
Values</b></p>
<p>
Our values are so much more than statements<b>. </b>They unite MiQers in every corner of the world. They shape the way we work and the decisions we make. And they inspire us to stay true to ourselves and to aim for better. Our values are there to be embraced by everyone so that we naturally live and breathe them. Just like inclusivity, our values flow through everything we do - no matter how big or small.</p>
<ul>
<li><b>We do what we love </b>- Passion</li>
<li><b>We figure it out </b>- Determination</li>
<li><b>We anticipate the unexpected </b>- Agility</li>
<li><b>We always unite </b>- Unite</li>
<li><b>We dare to be unconventional </b>- Courage</li>
</ul>
<p><b>Benefits
</b></p><p>Every region and office has specific perks and benefits, but every person joining MiQ can expect:</p>
<ul>
<li>A hybrid work environment
</li><li>New hire orientation with job-specific onboarding and training</li>
<li>Internal and global mobility opportunities</li>
<li>Competitive healthcare benefits</li>
<li>Bonus and performance incentives</li>
<li>Generous annual PTO paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives.</li>
<li>Employee resource groups are designed to connect people across all MiQ regions, drive action, and support our communities.</li>
</ul>
<p><i>Apply today!</i></p>
<p><i>
Equal Opportunity Employer</i></p></div>

Principal Data Scientist

Xactly Corp.

<div>Overview:
<p><b>
WHO WE ARE</b></p><p>
Xactly is a leader in Intelligent Revenue Solutions and a part of Vista Equity Partners portfolio companies since 2017. The Xactly Intelligent Revenue Platform marries artificial intelligence and 17 years of proprietary data in easy-to-use applications.</p><p></p><p><br>
Named among the best workplaces in the U.S. by Great Place to Work six times, honored on FORTUNE Magazine&rsquo;s inaugural list of the 100 Best Workplaces for Millennials, and chosen as the &ldquo;Market Leader in Incentive Compensation&rdquo; by CRM magazine. We&rsquo;re building a culture of success and are looking for motivated professionals to join us!</p><p></p><p><b>
About the Role</b></p><p>
Xactly&rsquo;s AI Labs is building the next generation of intelligent agents and AI-powered experiences across our Sales Performance Management suite. <b>We are looking for a Senior Data Scientist who will be the foundational DS member of the team in India. </b>This role is ideal for someone who thrives in ambiguity, enjoys full ownership, and can translate high-level business goals into data-driven solutions with minimal supervision.</p><p></p><p>
You will work directly with AI Labs leadership to convert 15+ years of incentive compensation, quota, and performance data into actionable insights, models, and features that power our AI agents (Plan Config Agent, Dispute Agent, Data Exploration Assistant, etc.). Your work will materially shape how Xactly customers perceive value from AI.</p><p></p><div><b>
Build the insights layer for Xactly&rsquo;s incentive data</b><br>
<ul><li> Analyze 15+ years of complex compensation, quota, attainment, and plan design data.</li><li>Identify patterns, anomalies, risk indicators, and optimization opportunities.</li><li>Create reusable features, metrics, benchmarks, and scoring signals for use across AI agents and product workflows.</li></ul></div><p></p><div><b>
Work as part of AI Labs to design AI-driven experiences</b><br>
<ul><li>Translate product requirements into concrete data science and ML problem statements.</li><li>Prototype models and analytical frameworks that support use cases such as:</li><li>Work closely with product, engineering, and design to turn prototypes into user-facing features.</li></ul></div><p></p><div><b>
Own the end-to-end data science pipeline</b><br>
<ul><li>Perform exploratory data analysis, feature engineering, and model experimentation on large, noisy datasets.</li><li>Define and implement data quality profiling and monitoring to ensure trustworthy insights.</li><li>Build scalable frameworks and reusable components (feature libraries, scoring functions, benchmarks) that other teams can leverage.</li><li>Collaborate with AI engineers to productionize models and insights with appropriate monitoring and retraining strategies.</li></ul></div><div>
Make data usable and understandable in the application<br>
<ul><li>Design interpretable, product-ready outputs such as scorecards, benchmarks, behavioral signals, pattern summaries, and risk indicators.</li><li>Work with the Head of AI Labs and the AI architect ensure outputs can be surfaced in a way that makes sense to admins, comp analysts, finance leaders, and sellers.</li><li>Provide clear documentation that explains how scores and insights are calculated, and what actions customers should take.</li><li>Work autonomously with minimal direction and be comfortable setting your own plan and milestones.</li><li>Drive clarity in ambiguous areas by proposing approaches, framing trade-offs, and suggesting MVP paths.</li><li>Influence long-term data science strategy and help define the profile of future hires as we scale the AI Labs data team.</li></ul></div><p></p><p><b>
What You Bring</b></p><ul><li>5&ndash;7+ years of hands-on experience in Data Science, applied ML, or advanced analytics.</li><li>Proven ability to independently define problems, choose appropriate methods, and deliver measurable business impact.</li><li>Strong experience with exploratory data analysis, feature engineering, and statistical modeling.</li><li>Proficiency in SQL and Python (Pandas, NumPy, Scikit-learn; PySpark or similar is a plus).</li><li>Experience working with large historical datasets; exposure to time-series, forecasting, or behavioral modeling is preferred.</li><li>Experience building interpretable scoring systems, risk models, or insights frameworks that are used by non-technical stakeholders.</li><li>Strong communication skills: able to explain complex analysis in simple terms for product, engineering, and business stakeholders.</li><li>Comfort operating as an individual contributor in a fast-paced, ambiguous environment, with minimal supervision.</li><li><b>Experience in incentive compensation, HR analytics, sales analytics, or financial data is a plus but not required.</b></li></ul><p></p><p><b>
Why Join Xactly AI Labs?</b></p><ul><li>Direct impact on flagship AI agents used by enterprise customers worldwide.</li><li>Opportunity to shape the foundational data and insights strategy for Xactly&rsquo;s AI platform.</li><li>Autonomy to build from scratch with strong support from product, engineering, and data leaders.</li><li>Opportunity to influence hiring and help build out the broader data science function over time.</li></ul><p></p><p><b>
BENEFITS &amp; PERKS</b></p><ul><li><p>
Paid Time Off (PTO)</p></li><li><p>
Comprehensive Health and Accidental Insurance Coverage</p></li><li><p>
Tuition Reimbursement</p></li><li><p>
XactlyFit Gym/Fitness Program Reimbursement</p></li><li><p>
Free snacks onsite(if you work in office)</p></li><li><p>
Generous Employee Referral Program</p></li><li><p>
Free Parking and Subsidized Bus Pass (a go-green initiative!)</p></li><li><p>
Wellness program</p></li></ul><p></p><p><b>
OUR VISION</b><b>:</b> Unleashing human potential to maximize company performance. We address a critical business need: to incentivize employees and align their behaviors with company goals.</p><p></p><p><b>
OUR CORE VALUES</b><b>:</b> Customer Focus | Accountability | Respect | Excellence (CARE) are the keys to our success, and each day we&rsquo;re committed to upholding them by delivering the best we can to our customers.</p><p></p><p>
Xactly is proud to be an Equal Opportunity Employer. Xactly provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, pregnancy, sexual orientation, or any other characteristic protected by law. This means we believe in celebrating diversity and creating an inclusive workplace environment, where everyone feels valued, heard, and has a sense of belonging. By doing this, everyone in the Xactly family has the power to make a difference and unleash their full potential.</p><p></p><p>
We do not accept resumes from agencies, headhunters, or other suppliers who have not signed a formal agreement with us.</p></div><p></p>

Amgen

<div><h2 class="jobSectionHeader"><b>What you will do</b></h2><p><b>
Let&rsquo;s do this. Let&rsquo;s change the world.</b><br>
We are seeking a highly qualified and motivated Principal Data Scientist with deep expertise in computational biology to join the Bioinformatics Technologies team within Amgen&rsquo;s Automation, Research Data Systems, Informatics, and AI (ARIA) organization. ARIA is a multidisciplinary group embedded within Amgen&rsquo;s discovery engine, applying advanced digital technologies to accelerate the path from target inception through drug development. Within ARIA, Bioinformatics Technologies develops and deploys innovative computational methods that enhance target identification, mechanistic characterization, early validation, and therapeutic discovery.</p><p><br>
In this role, you will lead and expand computational and systems biology capabilities that support Amgen&rsquo;s pre-clinical discovery engine, with a strong emphasis on generating insights from functional genomics, multimodal omics, and other high-dimensional biological datasets. You will provide both scientific and people leadership to a team of data scientists applying next-generation computational, statistical, and AI/ML approaches to identify therapeutic targets, uncover biomarkers, refine disease hypotheses, and guide experimental strategies across early research. This position plays a critical role in strengthening the data-driven foundation of Amgen&rsquo;s pre-clinical value chain by elevating analytical rigor and improving interpretation of complex biological data.</p><p></p><p>
The ideal candidate brings strong analytical aptitude, deep technical expertise in computational sciences, and a solid theoretical foundation in advanced statistical and machine learning methods. These skills must be complemented by a strong understanding of molecular biology and functional genomics, along with a proven track record of innovative and collaborative research demonstrated through impactful peer-reviewed publications.<br>
<br>
RESPONSIBILITIES:</p><ul><li>
Mentor junior biological data scientists working on functional genomics, disease biology, and multi-omics analytics to support pre-clinical target discovery and early validation.</li><li>
Develop, implement, and apply advanced computational / AI/ML / statistical methods and workflows to analyze high-dimensional multi-modal omics datasets for target identification, mechanism elucidation, and biomarker hypothesis generation.</li><li>
Drive innovation in design and execution of computational analyses supporting high-throughput screens to map gene-phenotype relationships, prioritize candidate targets, and guide experimental follow-up.</li><li>
Collaborate with experimental biology and translational research teams to align computational predictions with biological context, guide study design, and translate computational insights into actionable pre-clinical hypotheses.</li><li>
Design and implement computational workflows for cutting-edge functional genomics and multi-omics technologies (e.g., single-cell, spatial, long-read sequencing, phenotypic and virtual perturbation screens), using advanced AI/ML/deep-learning methods to simulate cellular responses, derive mechanistic insights, and prioritize therapeutic hypotheses for preclinical validation.</li><li>
Foster a culture of scientific innovation and collaboration within the team by encouraging creative problem-solving, continuous learning, cross-disciplinary exchange, and reproducible experimentation with emerging computational and omics methodologies.</li><li>
Communicate project results and data-driven recommendations to stakeholders and cross-functional partners.</li><li>
Monitor, review, and critically interpret published computational research in the field of computational biology, bioinformatics, and systems biology.<br>
</li></ul><h2 class="jobSectionHeader"><b>
Win</b></h2><p><b>
What we expect of you</b></p><p>
We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a scientist with these qualifications.</p><h2 class="jobSectionHeader"><b><br>
Basic Qualifications:</b></h2><p>
Doctorate degree in computer science, biomedical data science, computational biology, bioinformatics, or systems biology; preferably with post-doctoral training and industry experience</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Master&rsquo;s degree and 6+ years of biomedical data science, computational biology, bioinformatics, systems biology or related field</p><h2 class="jobSectionHeader"><b>
Or</b></h2><p>
Bachelor&rsquo;s degree and 8+ years of biomedical data science, computational biology, bioinformatics, systems biology, or related field</p><h2 class="jobSectionHeader"><b><br>
Preferred Qualifications:</b></h2><ul><li>
Demonstrated track record of scientific productivity in computational biology, bioinformatics, or related research settings.</li><li>
Track record of mentoring, team leadership or supervision within a formal or matrix structure, preferably in a multidisciplinary environment, helping to grow junior scientists and foster innovation, collaboration, and scientific rigor within a data-science team.</li><li>
Proven experience working at the intersection of computational biology, functional genomics, and drug-discovery/preclinical research (e.g., target identification, biomarker discovery, mechanistic modeling).</li><li>
Demonstrated success in applying machine learning, deep learning, generative modeling, topological data analysis, or causal inference to multimodal omics, functional genomics, single-cell, spatial, or long-read sequencing data to generate biologically meaningful hypotheses.</li><li>
Strong programming and data-science skills, including proficiency in Python and/or R; demonstrated experience with large-scale data analysis and high-dimensional biological data; and comfort working in high-performance or cloud computing environments under modern data-science workflows.</li><li>
Familiarity with molecular and disease biology, with the ability to contextualize computational findings in therapeutic discovery.</li><li>
Excellent analytical and communication skills, with the ability to extract and clearly present insights from complex data to diverse audiences with rigor and accuracy.</li><li>
Strong interpersonal and collaborative skills with demonstrated ability to thrive in cross-functional teams and effectively present results to diverse audiences.</li><li>
Creative, open-minded, and passionate about research, with a proven record of innovative algorithm and model development demonstrated through impactful publications, patents, or widely adopted tools.</li></ul></div>

Principal Data Scientist - Computational & Systems Biology

Alcon

<div><div>Summary of Position:</div><div></div><div>
A career at Alcon is like no other. We are innovative. We are impactful. We are the largest eye care medical device company helping restore sight and allowing millions of people worldwide to see brilliantly. We have a long history of industry firsts and a diverse highly talented team that keeps us on the cutting edge.</div><div>
We are currently hiring a Principal Data Scientist, at our AGS Bangalore. This strategic and inquisitive person will develop and run with data-centered projects. In keeping with this overarching aim, the data scientist will be required to outline work requirements, provide guidance to the team on active projects, and harness their mastery of Data Science to consult on high value, high visibility use cases.</div><div>
General Information Technology work involves managing or performing work across multiple areas of an organization&rsquo;s overall IT Platform/Infrastructure including analysis, development, and administration of:</div><ul><li>IT Systems Software, Hardware, and Databases</li><li>Data &amp; Voice Networks</li><li>Data Processing Operations</li><li>End User Technology &amp; Software Support Conducts cost/benefit analyses for proposed IT projects as input to the organization&rsquo;s IT roadmap.</li></ul><div></div><div>
Key Responsibilities:</div><ul><li><div>
Identify operational problems and improvement opportunities using quantitative methods and business analysis.</div></li><li><div>
Gather, clean and analyze structured and unstructured data from multiple sources.</div></li><li><div>
Develop mathematical, statistical and Machine Learning models to support decision making.</div></li><li><div>
Create and validate decision support tools and automated analytics solutions.</div></li><li><div>
Collaborate with cross-functional teams to define requirements and implement data-driven recommendations.</div></li><li><div>
Prepare visualizations, reports and presentations to clearly communicate insights to stakeholders.</div></li><li><div>
Monitor implemented solutions and continuously refine models based on real-world performance.</div></li></ul><div></div><div>
Key Requirements/Minimum Requirements:</div><ul><li><div>
Bachelor&rsquo;s Degree or Equivalent years of directly related experience (B-Tech.+ 2-3 yrs or MSc/M-Tech/MBA +1 yrs) in Operations Research, Industrial Engineering, Applied Mathematics, Data Science, Statistics or related field</div></li><li><div>
Strong proficiency in Mathematical Optimization Models (e.g., Linear Programing, Integer programming, Meta-Heuristics) and Machine Learning techniques.</div></li><li><div>
Strong proficiency in programming languages including Python and SQL.</div></li><li><div>
Experience with mathematical solver, such as CPLEX or Gurobi.</div></li><li><div>
Experience with data visualization tools such as Tableau or PowerBI, etc.</div></li><li><div>
Experience with using cloud platforms such as AWS or Azure</div></li><li><div>
Excellent analytical, problem-solving, and communication skills</div></li><li><div>
Ability to translate technical insights into actionable business recommendations</div></li><li><div>
The ability to fluently read, write, understand and communicate in English</div></li><li><div>
Experience managing data pipelines and model maintenance and registry.</div></li></ul><div></div><div>
Preferred Qualifications/Skills/Experience:</div><ul><li><div>
Strong analytical skills and technical problem solving</div></li><li><div>
Solid experience in building code and models</div></li><li><div>
Project Management experience</div></li></ul><div></div><div>
Work hours: 1 PM to 10 PM IST</div><div>
Relocation assistance: Yes</div><div>
Employment Scams: Alcon is aware of employment scams which make false use of our company name or leader&rsquo;s names to defraud job seekers. Alcon does not offer any positions without interview and never asks candidates for money. All our current job openings are displayed here on the Careers section of our website, where you can search for open positions and apply directly.</div><div>
If you have encountered a job posting or been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond, send money or personal information, and check our website for current job openings.</div><div></div><div>
ATTENTION: Current Alcon Employee/Contingent Worker</div><div></div><div>
If you are currently an active employee/contingent worker at Alcon, please click the appropriate link below to apply on the Internal Career site.</div><div></div><div><div>
Find Jobs for Employees</div></div><div></div><div><div>
Find Jobs for Contingent Worker</div></div><div></div><div><br>
Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.</div></div>

Principal, Data Science

Microsoft

<div><b>Overview</b><p><br>
We are seeking a highly skilled and experienced <b>Principal Data Scientist to join our Metrics &amp; evaluation team in Microsoft AI org</b>. This individual will play a pivotal role in defining the direction of our search engine for the upcoming years. The ideal candidate will have a solid expertise in statistics and a proven track record of leveraging data to drive business decisions.</p><p>
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.</p><p>
Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.</p><b><br>
Responsibilities</b><br>
<ul><li>
Lead the development and implementation of advanced statistical models and algorithms to analyse complex data sets.</li><li>
Collaborate with cross-functional teams to define key metrics and KPIs that align with our product goals.</li><li>
Provide strategic insights and recommendations based on data analysis to influence product direction and business strategies.</li><li>
Uphold data engineering and data science best practices new methodologies, technologies, industry trends and open sources.</li><li>
Mentor and guide junior data scientists, fostering a culture of continuous learning and improvement.</li></ul><br>
<b>
Qualifications</b><br>
<ul><li><b>
Required Qualifications:</b></li><li>
Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 10+ years related experience (e.g., statistics, predictive analytics, research)<ul><li>
OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)</li><li>
OR equivalent experience.</li></ul></li><li><b>
6+ years of extensive experience in metric defintion, statistical analysis, machine learning, and data mining.</b></li><li><div>
Customer‑obsessed mindset with the ability to translate customer needs and business problems into data‑driven solutions.</div></li><li>
Solid problem-solving skills and the ability to think critically and analytically.</li><li>
Proficiency in programming languages such as Python, R, or SQL.</li><li>
Excellent communication and presentation skills, with the ability to convey complex concepts to the stakeholders and manage expectations with them.</li><li>
Proven ability to work collaboratively in a team environment and manage multiple projects simultaneously.</li><li>
Experience in defining metrics to measure the success of a large-scale product/service and define OKR metrics for large orgs is a plus.</li><li>
Experience in working with Cloud architecture such as Azure is a plus</li><li>
Ability to work cross-group and across disciplines effectively.</li><li>
Excellent skills in designing, debugging and problem solving.</li><li>
#MicrosoftAI</li></ul><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
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<b>.</b></p></div>

Principal Applied Scientist

Atlassian

<div>Overview:
<p>
As a Principal Data Scientist in Atlassian&rsquo;s App Ecosystem, you will play a strategic and technical leadership role, guiding analytics initiatives that shape how customers and partners leverage emerging AI technologies to build innovative apps. You&rsquo;ll collaborate with product, engineering, and business leaders to inform platform strategy, drive measurement culture, and deliver insights that accelerate ecosystem growth and adoption of AI-powered solutions. By driving projects individually or as tech lead, mentoring data scientists, and championing best practices, you&rsquo;ll foster a world-class analytics culture and ensure Atlassian remains at the forefront of extensibility and intelligence in the SaaS landscape.</p><p></p><p><b>
Working at Atlassian</b></p><p>
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.</p><p></p>
Responsibilities:
<h3 class="jobSectionHeader"><b>In this role, you will:</b></h3><ul><li><p>
Collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others</p></li><li><p>
Use data and analysis to identify and solve product development&rsquo;s biggest challenges</p></li><li><p>
Influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams</p></li><li><p>
Use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta</p></li><li><p>
Help your partner teams prioritize what to build, set goals, and understand their product&rsquo;s ecosystem.Analytics: You will guide teams using data and insights (P40 and above)</p></li><li><p>
Focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them</p></li><li><p>
Convince and influence your partners using clear insights and recommendations</p></li><li><p>
Build credibility through structure and clarity and be a trusted strategic partner</p></li><li><p>
Work with complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.</p></li><li><p>
Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.</p></li><li><p>
Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.</p></li><li><p>
Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations</p></li><li><p>
Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions</p></li></ul><p></p>
Qualifications:
<h3 class="jobSectionHeader"><b>Minimum Qualifications / Your background:</b></h3><ul><li><p>
8+ Years of Experience in Data Science or related fields</p></li><li><p>
Proficiency in SQL AND another data manipulation programming language (e.g Python, R)</p></li><li><p>
Expertise at telling stories with data and familiarity with at least one visualization tool (e.g. Tableau, R-Shiny, Microstrategy, SAP Business Objects, Looker, etc.)</p></li><li><p>
Expertise in applying a broad variety of statistical concepts (e.g. regressions, A/B tests, clustering, probability) to business problems and a strong sense of when to adapt/combine approaches to suit the problem at hand</p></li><li><p>
Experience driving projects or programs which have had proven impact on business strategy and performance through your analytics skills</p></li><li><p>
A proven track record for crafting analysis into well-written content</p></li><li><p>
Experience advising, presenting to and serving as a thought partner to senior executives</p></li></ul><h3 class="jobSectionHeader"><b>
Desirable Qualifications</b></h3><ul><li><p>
10+ Years of Experience in Data Science or related fields</p></li><li><p>
An understanding of the SaaS business model and key metrics</p></li></ul><h3 class="jobSectionHeader"><b>
Compensation</b></h3><p>
At Atlassian, we strive to design equitable and explainable compensation programs. To support this goal, the baseline of our range is higher than that of the typical market range, but in turn we expect to hire most candidates near this baseline. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.</p><p>
This role may also be eligible for benefits, bonuses, commissions, and equity. Please visit <b>go.atlassian.com/payzones</b> for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter. #LI-Remote.</p><p></p><h3 class="jobSectionHeader"><b>
Our perks &amp; benefits</b></h3><p>
Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more.</p><p>
Visit <b>go.atlassian.com/perksandbenefits</b><b> </b>to learn more.</p><p></p><h3 class="jobSectionHeader"><b>
About Atlassian</b></h3><p>
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.</p><p>
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.</p><p>
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.</p><p>
To learn more about our culture and hiring process, visit <b>go.atlassian.com/crh</b><b>.</b></p></div>

Principle Data Scientist, App Ecosystem

Kenvue

<div><div><div><div><div><div><div><div><p>Kenvue is currently recruiting for a:</p></div></div></div></div></div></div></div>
Scientist Analytical Chemistry<p></p><p><b>
What we do</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent.</p><p></p><p><b>
Who We Are</b></p><p>
Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p></p><p><b>
Role reports to:</b></p>
MANAGER R&amp;D<p></p><p><b>
Location:</b></p>
Asia Pacific, India, Maharashtra, Greater Mumbai<p></p><p><b>
Work Location:</b></p>
Fully Onsite<p></p><p><b>
What you will do</b></p><p>
Kenvue is currently recruiting for:</p><p><br>
</p><p><b>Scientist, R&amp;D Analytical</b></p><p>
This position reports into Principal Scientist, R&amp;D Analytical and is based at Mumbai, India</p><p></p><p><b>
Who we are</b></p><p>
At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we&rsquo;re the house of iconic brands - including NEUTROGENA&reg;, AVEENO&reg;, TYLENOL&reg;, LISTERINE&reg;, JOHNSON&rsquo;S&reg; and BAND-AID&reg; that you already know and love. Science is our passion; care is our talent. Our global team is made by 22,000 diverse and brilliant people, passionate about insights, innovation and committed to deliver the best products to our customers. With expertise and empathy, being a Kenvuer means to have the power to impact life of millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage &ndash; and have brilliant opportunities waiting for you! Join us in shaping our future&ndash;and yours.</p><p><br>
</p><p><b>Role reports to:</b> Principal Scientist, R&amp;D Analytical</p><p><b>
Location:</b> Mumbai</p><p></p><p><b>
What you will do</b></p><p>
The Scientist, R&amp;D Analytical is responsible for performing analytical and stability testing, conducting advanced research activities and utilizing technology and programs to enable Innovation projects:</p><p>
Key Responsibilities</p><ul><li>
Lead and manage analytical research projects in R&amp;D department</li><li>
Develop, optimize, validate and transfer analytical methods to support product development and life cycle management projects</li><li>
Execute developmental stability testing for Drug and Cosmetic products</li><li>
Collaborate with cross-functional teams to drive scientific advancements</li><li>
Provide technical expertise in analytical instrumentation and data analysis</li><li>
Ensure expertise in a wide range of analytical technologies and instrumentation for testing capabilities.</li><li>
Execute the assigned stability testing for shelf-life assessment of stability studies.</li><li>
Participate in method transfer process regarding testing activities.</li><li>
Work on specific research projects, if required.</li><li>
Stay current with industry trends and technologies to drive innovation</li><li>
Support process owners or subject matter experts for assigned responsibilities, critical laboratory processes and quality systems.</li></ul><p></p><p><b>
What we are looking for</b></p><p></p><p>
Required Qualifications</p><ul><li>
Minimum Masters in Chemistry or equivalent science (e.g. Biochemistry, Pharmaceutical Sciences) or Ph.D with 4-8 years of proven working experience in Analytical Chemistry and/or Medicinal chemistry, Quality Control or related functions in healthcare/pharma/FMCG sector with exposure to GMP and Quality environment preferred</li><li>
Proven track record of leading successful scientific projects</li><li>
Experience working in Analytical Chemistry supporting new product development and life cycle management projects in a Consumer Health or Pharmaceutical environment</li><li>
Strong knowledge in UPLC, HPLC, and GC to execute Analytical test method development, validation and optimization in a cGMP environment</li><li>
Solid understanding of analytical and physical testing capabilities, technical skills related to instrumentation principles and working, basic troubleshooting, good documentation practices, data integrity aspects, etc.</li><li>
Experience working in Analytical Chemistry supporting new product development and life cycle management projects in a Consumer Health environment</li><li>
Excellent communication and collaboration skills</li><li>
Strong experience with Empower chromatography data system, using electronic laboratory notebooks (ELN), and LIMS systems.</li><li>
Ability to grasp technical/compliance requirements and execute assigned work to meet the key performance indicators</li><li>
Excellent oral and written communication and articulation skills</li><li>
Challenges the status quo and brings innovative ideas and suggestions</li><li>
Displays technical curiosity and self-initiative to deliver beyond usual activities</li><li>
Good interpersonal skills to partner across functions, sites, and regions</li></ul><p></p><p>
Kenvue is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.</p><p></p><p>
If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.</p></div>

Scientist Analytical Chemistry

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