data scientist

data engineer

data analyst

senior data engineer

senior data scientist

sr data scientist

GE Vernova

<div><div><div>The Sr Data Scientist Engineer delivers end-to-end Data Science and Machine Learning solutions for industrial operations with a focus on<br>
time-series forecasting, anomaly detection, and predictive maintenance. You will lead assigned workstreams as an individual contributor,<br>
translate business goals into technical requirements, and productionize models on cloud platforms in partnership with data/platform<br>
engineering. The emphasis is on rigorous model development, validation, and lifecycle execution to achieve measurable outcomes (reliability,<br>
availability, efficiency, emissions, cost). Candidates should have a minimum of 4 years&rsquo; experience in operations within at least one of Oil &amp;<br>
Gas, Fossil Power, or Renewable Power. Experience with Generative AI (GenAI) is an added advantage. Reliability analytics exposure (e.g.,<br>
Weibull analysis, survival/hazard modeling, RGA/Crow-AMSAA, ReliaSoft or open-source equivalents) is preferred.<p></p><h1 class="jobSectionHeader"><b>
Job Description</b></h1><p>
Roles and Responsibilities</p><ul><li>
Own and lead assigned DS/ML workstreams as an individual contributor: collaborate with stakeholders to frame problems and agree success metrics, then deliver to plan.</li><li>
Perform data acquisition, quality assessment/cleansing, feature engineering, and exploratory analysis across industrial datasets (sensor/telemetry, production logs, emissions, maintenance history), ensuring reproducibility.</li><li>
Develop, tune, and validate models (regression, classification, time-series such as ARIMA/Prophet/LSTM/GRU/state-space; anomaly detection; ensembles; deep learning where applicable) with robust cross-validation and clear documentation.</li><li>
Deploy and operationalize models on cloud ML platforms (AWS/Azure/GCP) under established practices; contribute to serving choices and implement monitoring, drift detection, and retraining per defined policies in collaboration with MLOps and platform teams.</li><li>
Build maintainable, production-ready assets for assigned use cases: pipelines, experiment tracking, code quality, and reusable components; adhere to governance, security, and reliability/SLAs.</li><li>
Translate model outcomes into actionable insights for technical and non-technical stakeholders; communicate trade-offs, risks, and assumptions; track value against success metrics.</li><li>
Provide informal mentorship (code reviews, modeling best practices) to junior team members; contribute templates and documentation to improve ways of working.</li><li>
Contribute to pilots/POCs in GenAI/LLM-assisted workflows (analytics automation, documentation, knowledge retrieval) as an added advantage.</li><li>
Where applicable, partner with Reliability Engineering to apply reliability-focused models (e.g., Weibull/survival/RGA) and integrate CMMS/EAM/APM and historian/SCADA data to inform maintenance and spares decisions.</li><li>
Stay current with advances in industrial ML (e.g., streaming/real-time) and apply incremental improvements to methods and patterns.</li></ul><p></p><p><b>
Education Qualification
</b></p><p>For roles outside USA: Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with minimum 5 to 8 years of experience in Data Science/Machine Learning or closely related roles. Master&rsquo;s preferred.</p><p></p><p>
For roles in USA: Bachelor's Degree in Computer Science or &ldquo;STEM&rdquo; Majors (Science, Technology, Engineering and Math) with minimum 8 years of experience. Master&rsquo;s preferred.</p><p></p><p><b>
Desired Characteristics</b></p><p><b>
Technical Expertise:</b></p><ul><li>
Proficient in Python and SQL with libraries such as Pandas, NumPy, scikit-learn; experience with TensorFlow/PyTorch where deep learning is applicable.</li><li>
Strong applied time-series and anomaly detection for industrial data; hands-on with feature engineering and model validation practices.</li><li>
Experience deploying on cloud ML platforms (e.g., AWS SageMaker, Azure ML, GCP Vertex AI); familiarity with MLOps (CI/CD for ML, model registry, monitoring, drift detection, retraining).</li><li>
Solid data management practices: ETL fundamentals, data quality assessment/cleansing, and awareness of governance/security controls.</li><li>
Familiarity with big data/streaming technologies (e.g., Spark, Kafka) and real-time analytics considerations is a plus.</li><li>
Preferred/added advantage: Reliability analytics methods and tools (Weibull, survival/hazard modeling, RGA/Crow-AMSAA; ReliaSoft suite or open-source equivalents such as lifelines/scikit-survival). GenAI/LLM-enablement for analytics acceleration.</li></ul><p></p><p>
Domain Knowledge:</p><ul><li>
Minimum 4 years&rsquo; experience in operations within at least one of: Oil &amp; Gas, Fossil Power, Renewable Power; ability to connect operational realities (failure modes, maintenance strategies, process constraints) to features, validation criteria, and deployment constraints.</li><li>
Demonstrated business understanding: map analytics to operational KPIs (availability, MTBF/MTTR, throughput, energy yield, emissions, cost) and articulate value/ROI trade-offs.</li></ul><p></p><p>
Leadership:</p><ul><li>
Operates with some autonomy within standard practices; primarily an individual contributor with strong interpersonal skills; provides informal guidance to new team members.</li><li>
Structured problem solving with the ability to propose options beyond set parameters (with guidance); collaborates across functions to execute effectively.</li><li>
Consulting mindset: translates requirements and trade-offs for stakeholders; provides researched recommendations with documented assumptions.</li><li>
Acts as a change agent at team level: adopts new methods/tools and drives continuous improvement in ways of working.</li></ul><p></p><p>
Personal Attributes:</p><ul><li>
Curiosity and creativity: explores new approaches and connects ideas from adjacent domains to improve outcomes.</li><li>
Comfort in ambiguity: delivers with assumptions where needed and course-corrects based on feedback; communicates status and limitations clearly.</li><li>
Strong communication and collaboration skills: tailors messages to varied audiences and contributes to a positive, high-performance team culture.</li></ul><p></p><p>
Note: To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.</p><p>
This Job Description is intended to provide a high level guide to the role. However, it is not intended to amend or otherwise restrict/expand the duties required from each individual employee as set out in their respective employment contract and/or as otherwise agreed between an employee and their manager.</p><p></p><h1 class="jobSectionHeader"><b>
Additional Information</b></h1><div><div><div><div><div><div><div><p><b>
Relocation Assistance Provided: </b>Yes</p></div></div></div></div></div></div></div></div></div></div><p></p>

Sr Data Scientist

<div></div><div><div><div><div><ul><div>3 - 6 Years</div>
<div></div><div>1 Opening</div>
 <div>Bangalore</div></ul></div><p></p><div><br>
<div><div>
</div></div></div></div><div></div><div><h3 class="jobSectionHeader"><b>Role description</b></h3>
<div><div><b>Associate III - Data Science</b></div>
<div></div>
<div><b>Who we are:</b></div>
<div>
At UST, we help the world&rsquo;s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 25 countries, we build for boundless impact&mdash;touching billions of lives in the process. Visit us at .</div><br>
<div></div>
<div><b>
You are:</b></div>
<div>
We are seeking a skilled Data Scientist proficient in Python to join our team. The ideal candidate will have extensive experience developing machine learning and statistical models for regression, classification, and time series problems. Additionally, they will have a strong understanding of software engineering principles and the ability to write clear, well-structured, and testable code.</div><br>
<div></div>
<div><b>
The Opportunity:</b></div>
<ul><li> Develop machine learning and statistical models for various business needs, including regression, classification, and time series analysis.</li></ul>
<ul><li> Implement models using Python and relevant libraries such as scikit-learn, pandas, and numpy.</li></ul>
<ul><li> Apply machine learning techniques such as Linear Regression, Random Forest, Classification, and Ensemble methods.</li></ul>
<ul><li> Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.</li></ul>
<ul><li> Follow best practices in software engineering to produce clean, manageable, and testable code.</li></ul>
<ul><li> Stay updated with the latest industry trends and advancements in data science and machine learning.</li></ul><br>
<div></div>
<div><b>
What are we looking for:</b></div><br>
<div></div>
<ul><li> Bachelor s or Master s degree in Computer Science, Statistics, Data Science, or a related field.</li></ul>
<ul><li> 4+ years of IT experience with a min of 3+ years in Data Science (AI/ML)</li></ul>
<ul><li> Proven experience as a Data Scientist or similar role with hands-on experience in Python .</li></ul>
<ul><li> Strong knowledge of machine learning algorithms and statistical modeling techniques.</li></ul>
<ul><li> Proficiency in Python libraries such as scikit-learn, pandas, numpy, and matplotlib.</li></ul>
<ul><li> Experience with relational databases and SQL.</li></ul>
<ul><li> Familiarity with software engineering principles and best practices.</li></ul>
<ul><li> Strong problem-solving skills and attention to detail.</li></ul>
<ul><li> Excellent communication and collaboration skills.</li></ul>
<ul><li> Ability to manage multiple projects and meet deadlines.</li></ul><br>
<div></div>
<div><b>
What we believe</b>:</div>
<div>
We&rsquo;re proud to embrace the same values that have shaped UST since the beginning. Since day one, we&rsquo;ve been building enduring relationships and a culture of integrity. And today, it's those same values that are inspiring us to encourage innovation from everyone to champion diversity and inclusion and to place people at the centre of everything we do.</div><br>
<div></div>
<div><b>
Humility:</b></div>
<div>
We will listen, learn, be empathetic and help selflessly in our interactions with everyone.</div>
<div><b>
Humanity:</b></div>
<div>
Through business, we will better the lives of those less fortunate than ourselves.</div>
<div><b>
Integrity:</b></div>
<div>
We honour our commitments and act with responsibility in all our relationships.</div><br>
<div></div>
<div><b>
Equal Employment Opportunity Statement</b></div><br>
<div></div>
<div>
UST is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation.</div><br>
<div></div>
<div>
All employment decisions shall be made without regard to age, race, creed, colour, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.</div><div><br>
UST reserves the right to periodically redefine your roles and responsibilities based on the requirements of the organization and/or your performance.</div><br>
<div></div>
<ul><li>To support and promote the values of UST.</li></ul>
<ul><li>Comply with all Company policies and procedures</li></ul></div><br>
<div></div>
<h3 class="jobSectionHeader"><b>Skills</b></h3>
<div><p>data science,python,machine learning,pandas,scikit-learn,statistical modeling</p></div></div></div></div><p></p>
<br><div><h3 class="jobSectionHeader"><b>About UST</b></h3>
<div>UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world&rsquo;s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients&rsquo; organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact&mdash;touching billions of lives in the process.</div></div>

Sr. Data Scientist

Avalara

<div>What You'll Do:
<p>
Avalara is scaling a modern, AI-enabled go-to-market engine &mdash; and the Marketing Analytics &amp; Insights (MAI) team sits at the center of this transformation. As a Senior Data Scientist, you will help shape predictive intelligence and experimentation strategy across the full marketing and revenue funnel. You will:</p><ul><li>
Build predictive and forecasting models for pipeline, conversion, and ROI</li><li>
Develop uplift / lead scoring, early funnel signal detection, and velocity models</li><li>
Design and scale experimentation frameworks (A/B, causal inference)</li><li>
Apply AI and large-language-model techniques to accelerate insights delivery</li><li>
Translate analytics into strategic recommendations for marketing leaders</li><li>
Partner with the Global Analytics &amp; Insights (GAI) team on model design, deployment, MLOps, and shared data standards</li></ul><p>
This is a hands-on, high-visibility role. You will operate as a strategic builder, shaping the analytics and AI foundation that fuels Avalara's future GTM performance. You will report to the Director, Marketing Analytics.</p><p>
#LI-Remote</p>
What Your Responsibilities Will Be:
<p>
Build and deploy statistical &amp; machine learning models to predict and optimize marketing performance</p><ul><li>
Lead experimentation design, causal analysis, and incrementality measurement</li><li>
Partner cross-functionally with Marketing Ops, Revenue Marketing, and GAI</li><li>
Operationalize AI-driven analytics and automated insight workflows</li><li>
Mentor analysts on advanced analytics and experimentation frameworks</li><li>
Establish repeatable data science methods, governance, and documentation</li><li>
Communicate results clearly to executive stakeholders</li></ul>
What You'll Need to be Successful:
<p>
5+ years in data science, ideally within SaaS, marketing analytics, growth, or revenue intelligence. Strong experience in:</p><ul><li>
Forecasting + time-series modeling</li><li>
Regression, uplift / causal inference</li><li>
Experimentation / A/B frameworks</li><li>
Advanced Python (preferred) or R + strong SQL proficiency</li><li>
Translate complex models into crisp, executive-ready insights</li><li>
Demonstrated ability to operate independently and build new capabilities</li></ul><p><b>
Preferred Qualifications</b></p><ul><li>
Experience in B2B SaaS marketing or revenue analytics</li><li>
Familiarity with attribution modeling (MTA, MMM)</li><li>
Knowledge of Snowflake, dbt, Hex, and modern data stack environments</li><li>
Experience supporting go-to-market or growth analytics functions</li><li>
Exposure to LLM / AI techniques for automation or insight generation</li><li>
Prior experience as a founding / early data scientist in a high-growth company.</li></ul>
Avalara is an AI-first Company:
<div>
AI is embedded in our workflows, decision-making, and products. Success here requires embracing AI as an essential capability.</div><ul><li><div>
You&rsquo;ll bring experience using AI and AI-related technologies, ready to thrive here.</div></li><li><div>
You&rsquo;ll apply AI every day to business challenges - improving efficiency, contributing solutions, and driving results for your team, our company, and our customers.</div></li><li><div>
You&rsquo;ll grow with AI by staying curious about new trends and best practices, and by sharing what you learn so others can benefit too.</div></li></ul>
How We'll Take Care of You:
<p>
Total Rewards</p><p>
In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses.</p><div></div><div><br>
Health &amp; Wellness<br>
Benefits vary by location but generally include private medical, life, and disability insurance.</div><div></div><div><br>
Inclusive culture and diversity<br>
Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture. We also have a total of 8 employee-run resource groups, each with senior leadership and exec sponsorship.</div><br>
<div></div>
What You Need To Know About Avalara:
<div>
We&rsquo;re defining the relationship between tax and tech.</div><div></div><div><br>
We&rsquo;ve already built an industry-leading cloud compliance platform, processing over 54 billion customer API calls and over 6.6 million tax returns a year. Our growth is real - we're a billion dollar business - and we&rsquo;re not slowing down until we&rsquo;ve achieved our mission - to be part of every transaction in the world.</div><div></div><div><br>
We&rsquo;re bright, innovative, and disruptive, like the orange we love to wear. It captures our quirky spirit and optimistic mindset. It shows off the culture we&rsquo;ve designed, that empowers our people to win. We&rsquo;ve been different from day one. Join us, and your career will be too.</div><div></div><div><b><br>
We&rsquo;re An Equal Opportunity Employer</b></div><div>
Supporting diversity and inclusion is a cornerstone of our company &mdash; we don&rsquo;t want people to fit into our culture, but to enrich it. All qualified candidates will receive consideration for employment without regard to race, color, creed, religion, age, gender, national orientation, disability, sexual orientation, US Veteran status, or any other factor protected by law. If you require any reasonable adjustments during the recruitment process, please let us know.</div></div>

Motorola Solutions

<div><h2 class="jobSectionHeader"><b>Company Overview</b></h2><p>
At Motorola Solutions, we believe that everything starts with our people. We&rsquo;re a global close-knit community, united by the relentless pursuit to help keep people safer everywhere. Our critical communications, video security and command center technologies support public safety agencies and enterprises alike, enabling the coordination that&rsquo;s critical for safer communities, safer schools, safer hospitals and safer businesses. Connect with a career that matters, and help us build a safer future.<br>
</p><h2 class="jobSectionHeader"><br>
<b>Department Overview</b></h2>
The Service Design Tools team is a strategic component of Centralized Managed Support Operations (CMSO), responsible for providing exceptional Service Design &amp; innovative technology solutions to enable and empower MSI Centralized Managed Support Operations to meet and exceed customers&rsquo; expectation. In this role, you will fit in the AI &amp; Architecture team within D&amp;T.<h2 class="jobSectionHeader"><br>
<b>
Job Description</b></h2><p>
We are looking for a Senior Data Scientist who will lead and drive the Artificial Intelligence &amp; Analytics stream at D&amp;T (Design and Tools). In this role, you will also serve as a subject matter expert in the AI and ML domain, and build analytical and statistical machine learning models that will drive business decisions. You will understand user requirements and translate them into AI solutions that turbocharge internal and external user experiences. Many of these AI solutions will be enabled within the core technologies used within CMSO, including Salesforce and ServiceNow. In other instances, you will also be responsible for building custom predictive and prescriptive ML models for preventative system health checks, system log analytics, automated root cause analysis etc.</p><p></p><p>
Responsibilities include:</p><ul><li><p>
Drive requirements for AI related projects, work with internal customers and with ServiceNow and Salesforce Product Managers for features planning, prioritization and implementation</p></li><li><p>
Strong quantitative and statistical skills</p></li><li><p>
Apply GenAI, ML and DL concepts, NLP, computer vision, sentiment analysis, and topic modeling in real world applications to solve business problems</p></li><li><p>
Develop application-specific interfaces that leverage GenAI capabilities and LLMs to enhance the associate and customer experience.</p></li><li><p>
Design APIs for performance, real-time applications, scale, ease of use and governance automation.</p></li><li><p>
Training ML models to effectively communicate complex data insights through clear and informative visualizations</p></li><li><p>
Serves as thought leader in data science and applies deep expertise to drive novel customer experiences</p></li><li><p>
Adaptive and the desire to learn new technologies.</p></li></ul><p></p><p>
Technical Experience</p><ul><li><p>
Must have: Proficiency in Python programming, JavaScript, Strong knowledge of Linux operating systems</p></li><li><p>
Extensive knowledge of AI supervised, unsupervised and reinforcement methods, GenAI LLM and Python libraries to perform data analysis, building advanced machine learning models and data integrations with source systems and systems of record</p></li><li><p>
Experience with common data science tools such as Python, PyTorch, TensorFlow, Keras, NLTK, or spaCy</p></li><li><p>
Very good knowledge and experience with Databases like Postgres, Redshift, MSSQL</p></li><li><p>
Knowledge and experience in Cloud Environments (AWS, Azure, GCP)</p></li><li><p>
Experience in building and deploying end to end data pipelines using cloud and docker services</p></li><li><p>
Strong knowledge of CI/CD, test automation and DevOps</p></li><li><p>
Experience to read data from multiple sources and cleanse, enhance and analyze the data.</p></li><li><p>
Ability to integrate data, sourcing data from several Sources including databases, files, API and Server logs.</p></li></ul><p></p><p>
Preferred Qualifications</p><ul><li><p>
BS in Computer Science / Data Science + 5 years of experience, OR</p></li><li><p>
MS in Computer Science / Data Science + 2-3 years of experience.</p></li><li><p>
Minimum of 4+ years experience in data analytics, data mining, machine learning, and has employed predictive, prescriptive, conversational or generative AI to solve business problems</p></li><li><p>
Minimum of 4+ years experience in hands-on design, coding, software development and deployment using data science tools such as Python, to build technological solutions</p></li><li><p>
Minimum 2+ years experience leading teams to deliver solutions and results</p></li><li><p>
Deep knowledge of ML streams, e.g., natural language processing, computer vision, statistical learning theory and their application in real world situations</p></li><li><p>
Knowledge of ServiceNow and Salesforce products and features</p></li><li><p>
Experience working with one of the leading public clouds (AWS, Google, Azure)</p></li><li><p>
Excellent written and oral communication skills. Be able to work under pressure in a fast paced environment with dynamic deadlines</p></li><li><p>
Ability to Multitask, Prioritize and Manage time effectively.</p></li><li><p>
Strong interpersonal skills and ability to work effectively across teams, functional groups</p></li></ul><p>
Target Base Salary Range for this role is
</p><p>Consistent with Motorola Solutions values and applicable law, we provide the following information to promote pay transparency and equity. Pay within this range varies and depends on job-related knowledge, skills, and experience. The actual offer will be based on the individual candidate.</p><p></p><p>
#LI-DB1</p><p></p><h2 class="jobSectionHeader"><b><br>
Basic Requirements</b></h2><ul><li><p>
BS in Computer Science / Data Science + 5 years of experience, OR</p></li><li><p>
MS in Computer Science / Data Science + 2-3 years of experience.</p></li></ul><h2 class="jobSectionHeader"><b><br>
Travel Requirements</b></h2>
Under 10%<h2 class="jobSectionHeader"><br>
<b>
Relocation Provided</b></h2>
None<h2 class="jobSectionHeader"><br>
<b>
Position Type</b></h2>
Experienced<p></p><h2 class="jobSectionHeader"><b>
Referral Payment Plan</b></h2>
Yes<p></p><p><b><i>
EEO Statement</i></b></p><p></p><p>
Motorola Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or belief, sex, sexual orientation, gender identity, national origin, disability, veteran status or any other legally-protected characteristic.</p><p></p><p>
We are proud of our people-first and community-focused culture, empowering every Motorolan to be their most authentic self and to do their best work to deliver on the promise of a safer world. If you&rsquo;d like to join our team but feel that you don&rsquo;t quite meet all of the preferred skills, we&rsquo;d still love to hear why you think you&rsquo;d be a great addition to our team.</p></div>

PayPal

<div><p><b>The Company</b></p><p>
PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy.</p><p><br>
We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.</p><p><br>
We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade.</p><p><br>
Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do &ndash; and they push us to ensure we take care of ourselves, each other, and our communities.</p>
<p>Job Description Summary: As a Sanctions Data Scientist within PayPal&rsquo;s Sanctions Data Science team, you will play a critical role in strengthening our sanctions screening platform to support scalable, efficient, and globally compliant business operations. This role is ideal for a data-driven strategist passionate about applying advanced analytics to optimize sanctions screening, reduce friction for legitimate customers, and uphold PayPal&rsquo;s global regulatory commitments. You will lead initiatives that leverage data science, big data technologies, and machine learning to modernize our sanctions detection and compliance systems, enhancing performance, scalability, and the overall customer experience.</p>
<p>Job Description:
</p><p><b>Essential Responsibilities:
</b></p><ul><li>Lead the development and implementation of advanced data science models.</li><li>
Collaborate with stakeholders to understand requirements.</li><li>
Drive best practices in data science.</li><li>
Ensure data quality and integrity in all processes.</li><li>
Mentor and guide junior data scientists.</li><li>
Stay updated with the latest trends in data science.</li></ul><p></p><p><b>
Expected Qualifications:</b></p><ul><li>
3+ years relevant experience and a Bachelor&rsquo;s degree OR Any equivalent combination of education and experience.</li></ul><p></p>
<p>PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. Any such request is a red flag and likely part of a scam. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us.</p>
<p>For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.</p><p><b><br>
Our Benefits:</b></p><p>
At PayPal, we&rsquo;re committed to building an equitable and inclusive global economy. And we can&rsquo;t do this without our most important asset-you. That&rsquo;s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.</p><p>
We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com<br>
</p><br>
<p><b>Who We Are:</b></p><p>
To learn more about our culture and community visit https://about.pypl.com/who-we-are/default.aspx<br>
</p><br>
<p><b>Commitment to Diversity and Inclusion</b></p><p>
PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.</p>
<p><b>Belonging at PayPal:</b></p><p>
Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.</p><p><br>
Any general requests for consideration of your skills, please Join our Talent Community.</p><p><br>
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don&rsquo;t hesitate to apply.</p></div>

Fx31 Labs Pvt. Ltd

<p>We are seeking a Data Science to support data analysis and modeling. The ideal</p><p>candidate is highly proficient in Python and modern data-science tools, with hands-on</p><p>experience deploying and managing models in AWS SageMaker. The role involves working with</p><p>potentially messy datasets, building reproducible pipelines, and delivering actionable insights.</p><p>Experience with travel or mobility data is a strong plus.</p><p>Responsibilities</p><p>Develop, test, and deploy data-science models and pipelines using Python and AWS</p><p>SageMaker.</p><p>● Perform data preparation, feature engineering, exploratory analysis, and model</p><p>evaluation.</p><p>● Create production-ready code and documentation for reusable workflows.</p><p>● Collaborate with internal teams to translate requirements into analytical solutions.</p><p>Required Skills</p><p>● Strong proficiency in Python and common data-science libraries (e.g., pandas, NumPy,</p><p>scikit-learn, PyTorch/TensorFlow).</p><p>● Hands-on experience with AWS SageMaker, including training, tuning, and deploying</p><p>models.</p><p>● Ability to work independently and deliver high-quality results on tight timelines.</p><p>Preferred</p><p>● Experience with travel, mobility, or geolocation datasets.</p><p>● Familiarity with AWS data services (S3, Lambda, Step Functions)</p><p>Job Type: Full-time</p><p>Work Location: Remote</p>

NielsenIQ

<div><b>Job Description</b><p><br>
The Product Design and Enhancement (PDE) team is responsible for all design-related activities of the Data Science unit at NIQ, setting up the base for Retail Index reporting. The key responsibilities of PDE associate assigned to given market include:</p><ul><li>
Sample Design, Universe Estimation and other design-related projects for the Retail Index</li><li>
Identification of quality risks and follow up on solutions</li><li>
Engagement with stakeholders on scope, execution, data exchange and outcomes for assigned projects</li><li>
Expert-level analysis of results and presentations with insights</li><li>
Teamwork in virtual multi-country environment requiring effective communication with colleagues located in various countries</li><li>
Usage of dedicated software supported by ad hoc programming and data mining</li><li>
Identification of opportunities for innovations and tools development in the dynamic work environment</li><li>
Analysis of processes within the area of responsibilities with recommendations on improvements</li></ul><p><b>
Qualifications</b></p><ul><li>
Master&rsquo;s degree in mathematics, Statistics, Economics, Operations Research or related fields</li><li>
Knowledge of Microsoft Office applications</li><li>
Competency in at least one programming language (Python or R)</li><li>
Organizational skills to manage projects (time management, prioritization, deadlines)</li><li>
Ability to engage and communicate effectively</li><li>
Strong analytical and problem-solving skills</li><li>
Good command of English</li><li>
Eagerness to continuously learn and adapt to changing technologies and tools</li><li>
2 to 4 years of work experience</li></ul><p></p><b><br>
Additional Information</b><div></div><p><br>
NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including r&eacute;sum&eacute; screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ&rsquo;s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ&rsquo;s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.</p><p><b>
Our Benefits</b></p><ul><li>
Flexible working environment</li><li>
Volunteer time off</li><li>
LinkedIn Learning</li><li>
Employee-Assistance-Program (EAP)</li></ul>
<p><b>
About NIQ</b></p><p>
NIQ is the world&rsquo;s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights&mdash;delivered with advanced analytics through state-of-the-art platforms&mdash;NIQ delivers the Full View&trade;. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world&rsquo;s population.</p><p>
For more information, visit NIQ.com</p><p>
Want to keep up with our latest updates?</p><p>
Follow us on: LinkedIn | Instagram | Twitter | Facebook</p>
<p><b>
Our commitment to Diversity, Equity, and Inclusion</b></p><p>
At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion</p></div>

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