analytics scientist

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We are seeking a scientist to further the development and application of analytics methods to examine the complex data flows of Amazon Ads and to translate deep-dives into actionable insights for our product teams. In this role you will develop new tools to analyze our advertising data to help improve the performance of our bidding algorithms, targeting and relevance systems, help advance our supply strategy, and evaluate the adoption and impact of feature releases. 
 
Key job responsibilities 
<ul><li>Analyze data trends regarding supply, optimization, ad load, and advertising mix effects that affect advertiser performance and contribute to achieving advertiser goals</li><li>Present papers to senior leaders on issues like feature development impact on identity recognition rates, and changes of ad selection systems to improve fill rate highlighting insights that will inform our business development and engineering roadmaps</li><li>Formalize our analytics approach to Ads auctions by analyzing bid spreads, auction depth, and simulating impacts of potential auction structure changes</li><li>Identify, standardize, and operationalize KPIs to effectively measure the performance of all systems involved in ad serving, and use trend insights to inform business priorities</li><li>Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps</li><li>Validate financial models through analysis</li><li>Develop and own ad revenue and supply intelligence analytics decks that provide ongoing deep-dives</li></ul> 
A day in the life 
The Ads Scientist will work closely with business leaders and engineers on developing common data architecture that will optimize our data logging at different grains, and will allow data interoperability from bid flow to optimization to campaign delivery. The scientist will then analyze the data and present papers and ongoing reports on actionable insights. 
 
About the team 
At Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon&rsquo;s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. 
 
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren&rsquo;t focused on how many hours you spend at work or online. Instead, we&rsquo;re happy to offer a flexible schedule so you can have a more productive and well-balanced life&mdash;both in and outside of work. 
 
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we&rsquo;re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience</li><li>3+ years of building models for business application experience</li><li>Experience programming in Java, C++, Python or related language</li><li>Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience using Unix/Linux</li><li>Experience in professional software development</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Palo Alto - 171,600.00 - 222,200.00 USD annually 
USA, NY, New York - 172,400.00 - 223,400.00 USD annually 
USA, WA, SEATTLE - 142,800.00 - 193,200.00 USD annually</div>

Applied Scientist, Ads Science and Analysis Team

Hidrocalido Digital Qatar

Job Opportunity: Data ScientistLocation: Doha, Qatar Company: Hidrocalido Digital QatarAbout UsHidrocalido Digital Qatar is a forward-thinking technology company specializing in digital transformation, advanced analytics, and innovative IT solutions. Based in Doha, we empower organizations to harness the power of data for smarter decision-making and sustainable growth. As we expand, we are seeking a talented Data Scientist to join our team and drive data-driven innovation.Role OverviewThe Data Scientist will be responsible for analyzing complex datasets, building predictive models, and delivering actionable insights to support business strategies. This role requires strong technical expertise, creativity, and the ability to communicate findings effectively to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Collect, clean, and analyze large datasets from multiple sources.</li><li>Develop predictive models, machine learning algorithms, and statistical analyses.</li><li>Collaborate with business teams to identify opportunities for data-driven solutions.</li><li>Visualize data insights through dashboards and reports.</li><li>Ensure data integrity, accuracy, and compliance with company standards.</li><li>Stay updated on emerging data science tools, techniques, and trends.</li><li>Provide recommendations to improve business performance and efficiency.</li><li>Support integration of AI and advanced analytics into company systems.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Statistics, or related field.</li><li>3&ndash;6 years of experience in data science, analytics, or machine learning.</li><li>Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI).</li><li>Strong knowledge of machine learning frameworks (TensorFlow, Scikit-learn, PyTorch).</li><li>Experience with big data platforms (Hadoop, Spark) is a plus.</li><li>Excellent analytical, problem-solving, and communication skills.</li><li>Ability to work independently and in a collaborative team environment.</li></ul>Why Join Us?<ul><li>Be part of a growing data science team in Doha.</li><li>Play a key role in shaping Hidrocalido Digital Qatar&rsquo;s analytics strategy.</li><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career advancement.</li><li>Supportive, innovation-driven, and technology-focused work culture.</li></ul>نوع الوظيفة: دوام كاملالراتب المدفوع: QAR٠٫٠٠&nbsp;لكل شهرموقع العمل: بشكل شخصي

Data Scientist

Embrace Technologies Private Limited

We&rsquo;re Hiring: Data Scientist (4+ Years Experience) On-Site - Gulberg Greens, Islamabad - PakistanJob SummaryWe are looking for a Data Scientist who can go beyond reporting and help drive real business decisions using data.This role requires someone who is comfortable working with large datasets, building models where needed, and clearly communicating insights to both technical and non-technical stakeholders.Key Responsibilities<ul><li>Analyze datasets to identify trends, patterns, and actionable insights</li><li>Build and validate statistical and predictive models</li><li>Write and optimize complex SQL queries</li><li>Work with business teams to translate requirements into data solutions</li><li>Present findings in a clear and structured manner to support decision-making</li></ul>Requirements<ul><li>4+ years of experience in Data Science or Data Analytics</li><li>Strong proficiency in:</li></ul>Python (pandas, NumPy, scikit-learn or similar) SQL (joins, aggregations, performance optimization)<ul><li>Solid understanding of:</li></ul>Statistics and data modeling Data cleaning and validation<ul><li>Strong communication skills with the ability to explain insights clearly</li></ul>Preferred Qualifications<ul><li>Experience with:</li><li>Machine learning models in production</li><li>Data visualization tools (Power BI, Tableau, etc.)</li><li>A/B testing or experimentation</li></ul>Work Environment<ul><li>On-site role (no remote option)</li><li>Collaborative team environment with cross-functional interaction</li></ul>How to ApplyApply through Indeed and include:<ul><li>Updated CV</li><li>Examples of projects or work demonstrating data-driven insights (if available)</li><li>Fill out this form with further details</li></ul>https://docs.google.com/forms/d/e/1FAIpQLSf0rYCvDTev4nx6QF2xjSpQVb9VlrCBNkA62L8QwJ6K6jgWyw/viewformKeywords: Data Scientist, Python, SQL, Data Analytics, Machine Learning, Statistics, Data ModelingJob Type: Full-timeWork Location: In person

Uber

<div>
 
 Employer:
 
 Uber Technologies, Inc.
 
 
 
 Job Title:
 
 Sr Data Scientist, Tech
 
 
 
 Job Location:
 
 New York, New York
 
 
 
 Job Type:
 
 Full Time
 
 
 
 Rate of Pay:
 
 $261,248 to $313,498 per year
 
 
 You will be eligible to participate in Uber's bonus program, and may be offered other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits .
 
 
 
 Duties:
 
 Build prototype software solutions to automate business processes to drive operational efficiency. Leverage data to understand business problems and opportunities for automation, enabling teams to action levers that drive incremental business value without increasing manual burden. Conduct architecture and code reviews with Engineering teams to enable prototype solutions through internal and external APIs, finding opportunities to apply new AI technologies and tools. Monitor and track performance of automated activities to ensure business continuity and re-assess relevance periodically, and move beyond the prototype stage where relevant in partnership with Engineering and Product teams. Manage an in-person team that carries out similar duties as above, and oversee a remote team of analysts that create dashboards and reports to communicate results and monitor key metrics, through analysis and building data pipelines. Develop end-to-end solutions to abstract business and engineering problems related to funnel optimization, user engagement, and user experience. Supervise at least 1 Data Scientist / 15-2051; Data Scientists. May telecommute.
 
 
 Employer will accept a Bachelor's degree in Business, Economics, Engineering (Any), Data Science, Analytics, Computer Science, or related field, followed by five years of progressive, post-baccalaureate experience in the job offered or in a related occupation.
 
 
 
 Position Requires
 
 
 
 <ul>
 <li>
 R or Python;
 </li>
 <li>
 SQL;
 </li>
 <li>
 Designing and overseeing data products, analytics, and automation solutions;
 </li>
 <li>
 Leading technical teams in automation, analytics, or data science;
 </li>
 <li>
 Developing end-to-end prototype solutions to automate business processes and improve efficiency;
 </li>
 <li>
 Identifying opportunities for business and operation optimization and efficiency;
 </li>
 <li>
 Machine learning and AI capabilities and identifying use cases to drive automation;
 </li>
 <li>
 Deploying code and developing best practices for automation capabilities.
 </li>
 </ul>
</div>

Sr Data Scientist, Tech

The Home Depot

<div>Position Purpose:
The Associate Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role works closely with Data Scientists and/or Sr. Data Scientists in their team to develop solutions by applying advanced analytics methods and algorithms for identifying trends and providing business solutions. Based on the specific data science team, this role may need to develop skills in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
 
As an Associate Data Scientist, you will develop skills that effectively leverage data science methodologies to creatively solve business problems and provide strategic insights. This requires effective communication skills as well as continuous learning and development at both the technical and business level. 
Key Responsibilities:<ul><li>
70% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Supports data science projects by conducting effective analysis to solve business problems; Executes tasks with high levels of efficiency and quality; Consults with Data Scientist or Sr. Data Scientist on appropriate selection, utilization and interpretation of advanced analytical methodologies; Learn about the assigned business areas to provide better solutions by incorporating business-specific knowledge</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical audience; Support preparation of reports, updates and/or presentations related to progress made on a project or solution; Highlights potential impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Technical Learning - Keep up to date on industry trends, best practices and emerging methodologies; Continually develop skills and expertise in data analytics concepts and methodologies; Identify opportunities to apply learnings</li></ul> 

Direct Manager/Direct Reports:<ul><li>
This position reports to manager or above
</li><li>This position has 0 direct reports</li></ul> 

Travel Requirements:<ul><li>
No travel required.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Master's degree in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
3+ years of experience in business intelligence and analytics</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Experience running queries against data (preferably with Google BigQuery or SQL)</li><li>
Experience in predictive modeling, data mining and data analysis</li><li>
Experience with data visualization software (preferably Tableau)</li><li>
Experience utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Basic knowledge or exposure to Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Basic knowledge or exposure to predictive modeling, data mining and data analysis</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
0</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Associate Data Scientist

All Points Logistics

<div><div>Data Engineer
 <div></div><div><div>Huntsville , Alabama
</div>Direct Hire
Apr 9, 2026
</div></div><div>*US CITIZENSHIP REQUIRED* 
*ACTIVE DoD SECRET CLEARANCE REQUIRED* 
*THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND* 
 
DESCRIPTION OF POSITION/DUTIES: 
 
All Points is seeking a Data Scientist / Data Engineer &ndash; Supply Chain Analytics to support the Army Materiel Command at Redstone Arsenal in Huntsville, AL. This is a six 
month, full time position with potential to extend and requires 100% on site support. There is no remote work option. THIS IS A SIX MONTH POSITION WITH POTENTIAL TO EXTEND. 
 
The selected candidate will support Army Supply Chain Command Orchestration and Monitoring operations as a hybrid data scientist and data engineer. This role operates at the intersection of data engineering and applied machine learning, owning both the data pipelines that move supply chain data and the models and analytics that extract operational insight. 
Working under the technical direction of a Senior AI Solutions Engineer, the candidate will build, optimize, and maintain production grade analytics that enable supply chain mapping, disruption detection, and risk visibility across priority weapons systems and materiel programs. This is a mission driven, production cadence role, not a research only position. 
 
Duties may include but are not limited to:
<ul><li>Build and maintain supply chain mapping constructs that trace multi-tier supplier relationships, component dependencies, foreign ownership indicators, and program linkages</li>
<li>Design, optimize, and maintain data pipelines ingesting supply chain data from government and commercial sources into Snowflake and downstream analytics environments</li>
<li>Develop and enhance disruption alerting models to detect supply chain stress signals, including single-source dependencies, supplier financial distress, geopolitical exposure, and lead-time anomalies</li>
<li>Apply machine learning and AI techniques to supply chain datasets, including entity resolution, anomaly detection, risk scoring, and predictive modeling</li>
<li>Write, optimize, and maintain complex SQL queries and Python-based transformation logic against Snowflake data warehouses</li>
<li>Produce analytic outputs that support Red Team vulnerability assessments, Blue Team mitigation planning, and executive decision-support dashboards</li>
<li>Participate in data quality validation, confidence scoring, and model monitoring workflows</li>
<li>Maintain pipeline documentation, data dictionaries, model artifacts, and data provenance per program governance standards</li>
<li>Support government-directed onboarding of new data sources, including schema mapping and integration into existing pipelines</li>
</ul>EDUCATION:
<ul><li>Bachelor&rsquo;s degree from an accredited college in a related discipline</li>
</ul>YEARS OF EXPERIENCE:
<ul><li>Eight (8) to ten (10) years of relevant experience preferred 
Minimum of four (4) years of combined data science and data engineering experience required</li>
</ul>SKILLS/CERTIFICATIONS:
<ul><li>Demonstrated supply chain domain knowledge, including supplier networks, procurement data, logistics, or defense materiel programs</li>
<li>Proficiency in Python for data engineering, analytics, and machine learning workflows</li>
<li>Strong SQL skills, including complex queries, window functions, and performance optimization</li>
<li>Hands-on Snowflake experience in a production analytics environment</li>
<li>Experience building and maintaining ETL/ELT pipelines using orchestration frameworks (Airflow, dbt, Spark, or equivalent)</li>
<li>Experience applying ML or AI techniques to real-world structured datasets in production or near-production environments</li>
<li>Strong documentation practices supporting data lineage, auditability, and governance</li>
<li>Experience with defense supply chain datasets (CAGE codes, NSNs, DLA/GIDEP) preferred</li>
<li>Experience with entity resolution, graph-based supply chain mapping, or network analysis preferred</li>
<li>Familiarity with AWS or other cloud data platforms in GovCloud or regulated environments preferred</li>
<li>Familiarity with CUI handling and NIST 800-171 data governance requirements preferred</li>
</ul>SECURITY CLEARANCE:
<ul><li>US Citizenship required</li>
<li>Active DoD Secret security clearance required</li>
</ul>Positions with All Points are Full-Time, Direct, and include a comprehensive benefits package. For more information, please visit our Career Portal: 
https://www.allpointsllc.com/careers/ 
 
ALL POINTS IS AN EQUAL OPPORTUNITY EMPLOYER</div></div>

2033 Cleared Data Scientist/Data Engineer – Supply Chain Analytics (Secret Clearance Required)

Lincare

<div>
 
 Required
 
 
 
 The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will help drive revenue growth, efficiency/productivity, and patient Lifetime Value. The individual will be conducting prescriptive, predictive and informational analytics to identify actionable insights. Skills required include, but are not limited to:
 
 
 <ul>
 <li>
 building machine learning algorithms
 </li>
 <li>
 data engineering
 </li>
 <li>
 natural language processing (NLP)
 </li>
 <li>
 large language models (LLMs) and any other required AI skills
 </li>
 <li>
 Technical coding skills are also required and include SQL code, R-Markdown and Python.
 
 
 </li>
 </ul>
 Through the combination of statistical knowledge, AI skills and technical coding languages, a data scientist will be required to complete any assigned analytical projects in a timely and efficient manner. Additionally, this position will be required to identify, plan and implement any other use cases for AI technology to help drive business success and improvement. They will also take a key role in the planning and development of Lincare's AI platform and strategy. Projects and long-term strategy development should always focus on business impact and have measurable outcomes for success measurement. Additionally, this position will be required to work with other teams to gain insight and to provide technical training to others.
 
 
 
 Job Functions
 
 
 
 <ul>
 <li>
 Responsible for data analytics / data science on massive sets of complex and, sometimes, unstructured data to prepare for statistical analysis.
 </li>
 <li>
 Manipulates or converts data according to analysis needs; and develops approaches to deal with imperfections in data (e.g. missing values or inconsistent data formatting)
 </li>
 <li>
 Identifies and executes on best approach for assigned project which may include skills including machine learning, NLP, LLMs, deep learning, neural networks or any other data science function.
 </li>
 <li>
 Develops reports using complex formulas; analyzes and reviews results for accuracy.
 </li>
 <li>
 Understands how to work with multiple data sources, and accurately accesses the correct data within complex databases based on business needs and reporting requirements.
 </li>
 <li>
 Will be comfortable interacting at all levels of technology teams both internal and external to Lincare. (project managers, database designer, information architecture, multilayer off-shore support centers, etc.)
 </li>
 <li>
 Manages projects to ensure they are delivered successfully and in a timely manner.
 </li>
 <li>
 Identifies opportunities to improve revenue, productivity/efficiency as well as enhance patient life time value using data science technologies.
 </li>
 <li>
 Performs other duties as assigned.
 </li>
 <li>
 Complies with all policies and standards.
 </li>
 </ul>
</div>

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3862 analytics scientist jobs Near Me

Applied Scientist, Ads Science and Analysis Team

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Data Scientist

Sr Data Scientist, Tech

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2033 Cleared Data Scientist/Data Engineer – Supply Chain Analytics (Secret Clearance Required)

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