data science specialist

Merck

<div>Job Description
Sr. Specialist &ndash; Business Insights &amp; Analytics, Advanced Analytics - US Vaccines &amp; ID
We are seeking a Business Insights Analytics Sr. Specialist focusing on data science and analytics to join our team.
This role will collaborate with the Digital Human Health (DHH) area to utilize data for generating actionable insights. In this role, the Sr. Specialist will act as a strategic thought partner for marketing stakeholders and internal DHH partners actively collaborating and providing data driven insights to help shape commercial decisions. They will partner with cross-functional teams in designing and delivering scalable solutions and valuable insights that address key business questions aligned with business priorities.
The Sr. Specialist will partner with cross‑functional teams to design and deliver scalable analytical solutions aligned with business priorities, including the application of Machine Learning, Natural Language Processing, Generative AI (GenAI), and emerging Agentic AI frameworks to accelerate insight generation and automate routine analytical workflows. This may include leveraging LLM‑based retrieval‑augmented generation (RAG), autonomous agent pipelines, prompt‑driven analytics, and multi‑agent orchestration to enhance efficiency and analytical depth.
The Sr. Specialist may also play a key role in measuring the impact of promotional programs and providing recommendations on how best to optimize future promotional spend through data-driven insights. The Sr. Specialist should possess strong presentation skills, capable of effectively communicating complex methodologies, insights, and results to senior leadership in a concise manner.
Key Responsibilities include and may not be limited to:<ul><li>
Understand the internal stakeholder business needs and priorities to build analyses that promote business objectives by providing actionable insights.</li><li>
Analyze data using advanced analytical/statistical techniques across disparate databases/sources (including claims/EMR Data and other sources) to develop insights drive to inform the commercial business strategies.</li><li>
Ensure delivery of high-quality, timely, compliant analyses with excellent user experience (keep clients updated on progress).</li><li>
Collaborate across DHH teams (i.e. data visualization, data solutions, other data scientists, other BIA teams, etc.) to deliver best-in-class solutions to drive data driven insights often acting in consulting capacity.</li><li>
Translate complex business questions into specific analytical problems and design scalable solutions.</li><li>
Understand the complexity/dependencies between multiple teams and platforms (people, technologies).</li><li>
Engage in continuous learning to stay abreast of emerging trends and methodologies in analytics.</li><li>
Contribute to innovative ideas and improve efficiency with insights delivery.</li></ul>
Qualifications:
Minimum Requirements:<ul><li>
Bachelor's degree in a quantitative field (Statistics, Mathematics, Computer Science, Data Science, etc.).</li><li>
3 years of relevant experience delivering complex analytical projects in the pharmaceutical/biotech/healthcare industry.</li><li>Proficiency in database management systems and modeling languages preferred (Python, SAS, SQL) as well as expertise with Microsoft Excel and PowerPoint.</li></ul><ul><li>
Self-motived, proactive mindset, and ability to work independently.</li><li>
Strong interpersonal and communication skills to interact with diverse teams and stakeholders.</li><li>
Strong organizational and time management abilities, capable of navigating a complex matrix environment.</li><li>
Proven data science skills leveraging advanced statistical methods, Machine Learning/Artificial Intelligence, Natural Language Processing (NLP) modeling and model evaluation.</li><li>
Experience or strong familiarity with Generative AI (GenAI) concepts, including:</li></ul>
o Large Language Models (LLMs), prompt engineering, retrieval‑augmented generation (RAG)
o Model fine‑tuning, embedding models, vector databases (e.g., FAISS, Pinecone)
o Evaluation frameworks for LLM outputs (hallucination detection, grounding, safety)<ul><li>
Exposure to Agentic AI frameworks, such as:</li></ul>
o Multi‑agent orchestration frameworks (e.g., LangGraph, LangChain Agents, Semantic Kernel planners)
o Workflow/automation agents for data pipelines, monitoring, anomaly detection
o Tools enabling autonomous task execution (planning, reasoning, tool‑calling agents)
Required Skills:
Artificial Intelligence (AI), Business Intelligence (BI), Business Management, Business Strategies, Database Design, Database Management Systems (DBMS), Data Engineering, Data Modeling, Data Science, Data Visualization, Emerging Trends, Generative AI, Healthcare Business, Large Language Models (LLMs), Machine Learning (ML), Natural Language Processing (NLP), Python (Programming Language), Relational Database Management System (RDBMS), Software Development, Stakeholder Engagement, Stakeholder Relationship Management, Waterfall Model
Preferred Skills: 
US and Puerto Rico Residents Only:
Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here if you need an accommodation during the application or hiring process.
As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:
EEOC Know Your Rights
EEOC GINA Supplement
We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another&rsquo;s thinking and approach problems collectively.
Learn more about your rights, including under California, Colorado and other US State Acts
U.S. Hybrid Work Model
Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as &ldquo;remote&rdquo;.
The salary range for this role is
$129,000.00 - $203,100.00
This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee&rsquo;s position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at https://jobs.merck.com/us/en/compensation-and-benefits.
You can apply for this role through https://jobs.merck.com/us/en (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.
San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance
Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles&rsquo; Fair Chance Initiative for Hiring Ordinance
Search Firm Representatives Please Read Carefully 
Merck &amp; Co., Inc., Rahway, NJ, USA, also known as Merck Sharp &amp; Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.
Employee Status:
Regular
Relocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
Hybrid
Shift:
Valid Driving License:
Hazardous Material(s):
Job Posting End Date:
03/21/2026<ul><li>A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date. 
</li></ul> 
Requisition ID:R387023</div>

Sr. Specialist – Business Insights & Analytics, Advanced Analytics - US Vaccines & ID

Vertiv

<div>POSITION SUMMARY
<ul><li>The Planning Analytics Specialist, Data Science leads the design, development, and deployment of advanced statistical and machine learning solutions that strengthen the planning organization&rsquo;s effectiveness and decision-making. This role transforms complex data into actionable insights, delivering measurable improvements in forecast accuracy, operational efficiency, and business outcomes. By combining deep technical expertise with strong business acumen, the Data Science Specialist drives the adoption of best-in-class analytics practices and builds scalable capabilities that elevate analytical maturity across the
</li></ul>RESPONSIBILITIES
<ul><li>Develop scalable, repeatable processes that enable advanced analytics and data-driven decision-making across the organization. Provide consultative support to build foundational analytics capabilities that accelerate and enhance advanced analytical work.
</li><li>Communicate complex analytical concepts to senior and regional leaders in a clear, compelling manner. Build strong relationships and foster confidence in data, models, and insights at all levels of the planning organization.
</li><li>Apply business experience and technical expertise to recommend, develop, and implement best practices in model design. Identify and deploy appropriate modeling approaches for business needs, support business reviews with impactful visualizations, and automate analytical workflows where appropriate.
</li><li>Mentor and guide data scientists and sales analysts to promote a culture of collaboration, continuous learning, and ongoing improvement.
</li></ul>QUALIFICATIONS
<ul><li>4-8 years of analytical experience or equivalent combination of advanced education and professional work.
</li><li>Experience with a programmatic statistical language such as Python or R (Python preferred).
</li><li>Experience with data visualization tools such as Power BI or Tableau (Power BI preferred).
</li><li>Proficiency with SQL and experience working with large-scale data platforms (e.g., Snowflake, Hadoop).
</li><li>Experience using Git or other version control software.
</li><li>Strong applied experience in data analysis, business intelligence, simulation, and optimization techniques.
</li><li>Exposure to and proficiency in a broad range of analytical methods and the ability to apply them effectively in real-world business applications.
</li><li>Exceptional attention to detail and high-quality execution.
</li><li>Ability to translate high-level direction into actionable, well-structured plans.
</li><li>Self-directed and capable of managing a portfolio of ongoing projects, including advocating for prioritization based on relative business value.
</li></ul>PHYSICAL &amp; ENVIRONMENTAL DEMANDS
<ul><li>No Special Physical Requirements.
</li></ul>TIME TRAVEL REQUIRED
<ul><li>None.
</li></ul>The successful candidate will embrace Vertiv&rsquo;s Core Principals &amp; Behaviors to help execute our Strategic Priorities.
OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Diversity &amp; Inclusion.
OUR STRATEGIC PRIORITIES
<ul><li>Customer Focus
</li><li>Operational Excellence
</li><li>High-Performance Culture
</li><li>Innovation
</li><li>Financial Strength
</li></ul>OUR BEHAVIORS
<ul><li>Own It
</li><li>Act With Urgency
</li><li>Foster a Customer-First Mindset
</li><li>Think Big and Execute
</li><li>Lead by Example
</li><li>Drive Continuous Improvement
</li><li>Learn and Seek Out Development
</li></ul>At Vertiv, we offer the stability of a global leader in a growing industry and the opportunity of a startup. We design, manufacture and service the mission-critical infrastructure technologies for vital applications in data centers, communication networks and commercial and industrial environments. With $5 billion in sales, a strong customer base and global reach in nearly 70 countries, our move to establish a standalone business enables us to deliver greater value to our customers and create new opportunities for our people.
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertivco.com . If you are interested in applying or learning more about this role, please visit the company&rsquo;s career page located on Vertiv.com/Careers.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.</div>

Planning Analytics Specialist, Data Science

Advansys Intelligent Solutions

<div>
 
 Role Overview
 
 
 
 We are looking for a
 
 Data Scientist
 
 to transform raw industrial data into actionable insights and develop predictive models that address real-world energy and operational challenges. You will bridge advanced analytics and practical business impact by turning complex data into strategic decisions.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Collect, clean, and preprocess structured and unstructured data from multiple sources
 </li>
 <li>
 Perform exploratory data analysis (EDA) to identify trends, correlations, and anomalies
 </li>
 <li>
 Develop, validate, and deploy machine learning and predictive models
 </li>
 <li>
 Design and maintain scalable data pipelines and automation workflows
 </li>
 <li>
 Translate business problems into analytical and statistical solutions
 </li>
 <li>
 Collaborate with engineering, product, operations, and leadership teams
 </li>
 <li>
 Present insights through dashboards, reports, and data visualizations
 </li>
 <li>
 Monitor model performance and continuously optimize algorithms
 </li>
 <li>
 Ensure data quality, integrity, governance, and security compliance
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
 </li>
 <li>
 2+ years of experience in data science, analytics, or machine learning roles
 </li>
 <li>
 Strong programming skills in Python (preferred) or R
 </li>
 <li>
 Proficiency in SQL and working with relational databases
 </li>
 <li>
 Experience with machine learning frameworks (Scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Solid understanding of statistics and probability
 </li>
 <li>
 Experience with data visualization tools (Power BI, Tableau, Matplotlib, etc.)
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Knowledge of big data tools such as Spark or Hadoop
 </li>
 <li>
 Understanding of MLOps concepts and model deployment workflows
 </li>
 <li>
 Strong analytical thinking and problem-solving abilities
 </li>
 <li>
 Excellent communication and collaboration skills
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Annual bonus
 </li>
 <li>
 Health insurance and wellness programs
 </li>
 <li>
 Professional development and training opportunities
 </li>
 </ul>
</div>

Data Scientist

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Data Scientist is responsible for leveraging data to generate insights, support decision-making, and enhance operational efficiency. The role focuses on analyzing complex datasets from various business systems (such as timetables, schedules, ridership data, and maintenance systems) and translating them into actionable intelligence. This includes developing data-driven models, creating dynamic visualizations, and collaborating with stakeholders to improve data adoption and utilization across the organization.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Data Science &amp; Analytics
 
 
 
 <ul>
 <li>
 Perform data transformations, cleaning, and preprocessing to ensure quality and reliability.
 </li>
 <li>
 Design, test, and implement machine learning and AI models to support predictive and operational needs.
 </li>
 <li>
 Maintain and update a library of analytical tools, scripts, and programs.
 
 
 </li>
 </ul>
 
 Business Intelligence &amp; Visualization
 
 
 
 <ul>
 <li>
 Design, develop, and maintain interactive dashboards and reporting solutions using Power BI, Qlik Sense, and other tools.
 </li>
 <li>
 Build dynamic visualizations that support decision-making across operations and maintenance functions.
 </li>
 <li>
 Document processes and maintain user guides to ensure smooth adoption of reporting solutions.
 
 
 </li>
 </ul>
 
 Collaboration &amp; Communication
 
 
 
 <ul>
 <li>
 Partner with internal departments to define data needs, establish data streams, and enhance KPI tracking.
 </li>
 <li>
 Liaise with software vendors and internal teams to ensure desired system features and performance are met.
 </li>
 <li>
 Clearly communicate findings and explain complex concepts to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Continuous Improvement &amp; Knowledge Sharing
 
 
 
 <ul>
 <li>
 Identify opportunities to restructure source data and influence the adoption of cleaner data structures.
 </li>
 <li>
 Provide training sessions, short briefs, and knowledge-sharing activities to upskill colleagues.
 </li>
 <li>
 Promote the use of company data tools, AI models, and portals to increase adoption and business value.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility.
 </li>
 <li>
 All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Computer Engineering, Mathematics, or a related STEM field.
 </li>
 <li>
 Additional certifications in Data Science, Machine Learning, AI, or data visualization technologies are an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Proficiency in English; French is a plus.
 </li>
 <li>
 Strong understanding of relational databases (SQL Server, MySQL, Oracle, etc.) with the ability to write queries.
 </li>
 <li>
 Knowledge of data visualization and analytics concepts.
 </li>
 <li>
 Ability to develop practical solutions using data.
 </li>
 <li>
 Proficiency in Microsoft Office applications.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 3&ndash;5 years of relevant experience in data science, software development, or data analysis.
 </li>
 <li>
 Hands-on experience in programming (Python, C++ or similar).
 </li>
 <li>
 Practical experience with data visualization tools (Power BI, Qlik, Excel).
 </li>
 <li>
 Proven track record of delivering data science projects as a hands-on implementer.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Demonstrates curiosity and persistence in identifying insights and creating business value.
 </li>
 <li>
 Able to work independently and collaborate effectively within a team environment.
 </li>
 <li>
 Communicates clearly and confidently, both verbally and in writing, to different audiences.
 </li>
 <li>
 Show adaptability and flexibility when working with diverse stakeholders.
 </li>
 <li>
 Strong problem-solving skills with the ability to manage competing priorities.
 </li>
 <li>
 Takes initiative, meets deadlines, and shows accountability for results.
 </li>
 </ul>
</div>

Cliff Services Inc

<div>
 Hiring - Data Scientist
 
 
 Location: Dallas TX or McLean VA
 
 
 Cliff W2
 
 
 Inperson interview
 
 
 Onsite
 
 
 <ul>
 <li>
 5+ years in data science, analytics, or cloud financial operations
 </li>
 <li>
 Expertise in Python, SQL, and data science libraries (e.g., pandas, scikit-learn)
 </li>
 <li>
 Strong statistical modeling and machine learning skills
 </li>
 <li>
 Deep understanding of Azure and AWS cost structures and optimization levers
 </li>
 <li>
 Excellent communication and stakeholder engagement skills
 </li>
 <li>
 Experience with BI tools (Power BI, Tableau)
 
 
 </li>
 </ul>
 Please contact babu@cliff-services.com
</div>

atmaal

<div>
 
 Job Title: Data Scientist
 
 
 
 
 
 We are seeking a skilled Data Scientist to join our team in Riyadh. The selected candidate will be responsible for transforming business objectives into data-driven solutions by leveraging advanced analytics, machine learning, and artificial intelligence. This role requires strong analytical thinking, technical expertise, and the ability to translate complex data into actionable insights that support business decisions.
 
 
 
 
 
 Key Responsibilities:
 
 
 &bull; Collaborate with business units to understand strategic objectives and translate them into data science problems and practical use cases.
 
 
 &bull; Design and develop predictive models such as regression, classification, forecasting, and segmentation to identify patterns and anticipate future trends.
 
 
 &bull; Utilize prescriptive analytics techniques including optimization algorithms, scenario modeling, and advanced machine learning to recommend actionable strategies.
 
 
 &bull; Apply Natural Language Processing (NLP) techniques for use cases such as sentiment analysis, text classification, and entity extraction from unstructured data.
 
 
 &bull; Conduct exploratory data analysis (EDA) to understand data behavior, detect anomalies, and uncover hidden patterns.
 
 
 &bull; Utilize Generative AI capabilities for tasks such as content summarization, automated insight extraction, and code generation.
 
 
 &bull; Develop and deploy analytical solutions using platforms such as Vertex AI for model development and Power BI for data visualization, ensuring alignment with business workflows.
 
 
 &bull; Communicate complex analytical findings through clear visualizations and data storytelling techniques for both technical and non-technical stakeholders.
 
 
 &bull; Continuously validate and refine models to ensure accuracy, reliability, and alignment with evolving business needs.
 
 
 &bull; Document methodologies, model assumptions, and workflows to ensure transparency and reproducibility across the data science lifecycle.
 
 
 
 
 
 Education:
 
 
 &bull; Bachelor&rsquo;s degree in Data Science, Computer Science, Artificial Intelligence, Statistics, or a related field.
 
 
 
 
 
 Experience:
 
 
 &bull; 3&ndash;5 years of experience in Data Science, Advanced Analytics, or a related field.
 
 
 
 
 
 Technical Expertise:
 
 
 &bull; Power BI
 
 
 &bull; BigQuery
 
 
 &bull; Vertex AI
 
 
 &bull; Google Cloud Platform (GCP)
 
 
 &bull; Google Cloud Storage
 
 
 &bull; Python
 
</div>

Piper Companies

<div>
 
 Piper Companies is seeking a Data Scientist to join a highly technical Data and AI organization supporting a large-scale global payments environment.
 
 This role will focus on building advanced data science and machine learning solutions that translate complex data into actionable, revenue-driving insights. The Data Scientist will work closely with business, product, and engineering teams to design, test, and deploy models into production systems. The Data Scientist position requires strong technical depth, comfort operating in fast-paced environments, and a passion for applied research.
 
 This role is onsite or hybrid in Charlotte NC
 
 based on business needs. Must be authorized to work in the US without sponsership.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Frame complex business problems using advanced data science, statistical modeling, and machine learning techniques
 </li>
 <li>
 Design, build, and deploy scalable machine learning pipelines and production-level models
 </li>
 <li>
 Develop and test models across areas such as recommendation systems, time-series forecasting, optimization, and natural language processing
 </li>
 <li>
 Partner with cross-functional stakeholders to identify opportunities to leverage internal and external data for business impact
 </li>
 <li>
 Own critical research initiatives and application development efforts from concept through production
 </li>
 <li>
 Run large-scale experiments and A/B tests to evaluate and improve model performance
 </li>
 <li>
 Contribute to cross-team collaboration and help advance overall data science capabilities
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Mathematics, Statistics, Physics, or a related discipline
 </li>
 <li>
 3 or more years of experience translating mathematical models and algorithms into production-ready code
 </li>
 <li>
 Strong programming experience in Python and Kfka and or C++
 </li>
 <li>
 Solid foundation in probability, statistics, and applied machine learning
 </li>
 <li>
 Hands-on experience with areas such as NLP, time-series analysis, and Generative AI
 </li>
 <li>
 Prior experience working in a highly technical, data-driven research or engineering environment
 </li>
 <li>
 Ability to clearly communicate complex technical concepts to both technical and non-technical audiences
 </li>
 <li>
 Must be authorized to work in the United States
 
 
 </li>
 </ul>
 
 Compensation
 
 
 
 <ul>
 <li>
 $115.000 -$135,000 annually
 </li>
 <li>
 Comprehensive benefits package including medical, dental, vision, and 401(k) options
 </li>
 <li>
 Paid time off and paid holidays
 </li>
 </ul>
</div>

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