data scientist

Uretero Communications & IT

Job Title: Data ScientistJoin BigDev Company Technologies as a Data ScientistAre you passionate about turning data into meaningful insights and building intelligent systems that solve real-world problems? At BigDev Company Technologies, we&rsquo;re growing fast and looking for a Data Scientist to help us design, analyze, and deploy impactful data solutions.This is an exciting opportunity to work on modern data stacks, collaborate with cross-functional teams, and contribute to high-impact projects in a supportive and innovation-driven environment.What You&rsquo;ll Do<ul><li>Analyze large datasets to extract actionable insights and trends</li><li>Build, test, and deploy machine learning models</li><li>Develop data pipelines and automate data processing workflows</li><li>Collaborate with engineers, product managers, and stakeholders</li><li>Create dashboards and visualizations using tools like Power BI or Tableau</li><li>Optimize algorithms and improve model performance</li><li>Present findings clearly to technical and non-technical audiences</li></ul>What We&rsquo;re Looking For<ul><li>Experience in data science, machine learning, or a related field</li><li>Strong knowledge of Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn)</li><li>Familiarity with machine learning frameworks (TensorFlow, PyTorch is a plus)</li><li>Experience with data visualization tools (Power BI, Tableau, or similar)</li><li>Understanding of statistics, data modeling, and predictive analytics</li><li>Strong problem-solving and analytical thinking skills</li><li>Ability to work independently and in a team environment</li></ul>Nice to Have (Not Required)<ul><li>Experience with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of big data tools (Spark, Hadoop)</li><li>Prior experience in production-level ML deployment</li></ul>About the CompanyBigDev Company Technologies is a growing technology company focused on building scalable software, AI-driven solutions, and data-powered products for clients across multiple industries. We combine innovation, collaboration, and technical excellence to deliver real impact.Why Work With Us<ul><li>Work on meaningful, real-world data projects</li><li>Supportive and collaborative team culture</li><li>Opportunities for learning, growth, and career advancement</li><li>Exposure to modern tools and technologies</li></ul>Apply NowReady to take the next step in your data science career? Apply today and join a team where your work truly makes an impact.Job Type: Full-timePay: KD1,800.000 - KD2,000.000 per monthWork Location: In person

Data Scientist

Pentangle Tech Services | P5 Group

<div>
 
 
 Job Title: Data Scientist
 
 
 
 
 Engagement Type:
 
 
 (Long Term Contract)
 
 
 
 
 Onsite Requirement:
 
 Raleigh, NC &ndash; 3 days/week
 
 
 
 Start Date:
 
 ASAP
 
 
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 hands-on Data Scientist
 
 , with potential extension based on budget and performance. This role focuses on developing
 
 analytics and machine learning solutions
 
 using large, complex datasets.
 
 
 The ideal candidate will work closely with engineering and product teams to deliver
 
 production-ready models and actionable insights
 
 . Experience in
 
 utility/energy data
 
 or
 
 demography
 
 is highly preferred.
 
 
 
 Key Objectives
 
 
 <ul>
 <li>
 Analyze large datasets to identify patterns, trends, and anomalies
 </li>
 <li>
 Develop and validate statistical and machine learning models
 </li>
 <li>
 Deliver insights to support product, operational, and engineering decisions
 </li>
 <li>
 Collaborate with engineering teams for model deployment and operationalization
 </li>
 <li>
 Work under guidance of a senior PhD-level Data Scientist
 </li>
 <li>
 Provide clear documentation and knowledge transfer
 </li>
 </ul>
 
 
 
 
 
 Core Responsibilities
 
 
 <ul>
 <li>
 Perform data exploration, cleaning, and feature engineering
 </li>
 <li>
 Build and evaluate models (regression, classification, clustering, anomaly detection, time series)
 </li>
 <li>
 Design and analyze experiments as needed
 </li>
 <li>
 Translate business problems into analytical solutions
 </li>
 <li>
 Communicate insights to both technical and non-technical stakeholders
 </li>
 <li>
 Follow best practices (version control, documentation, reproducibility)
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 Strong experience in data science or advanced analytics roles
 </li>
 <li>
 Proficiency in
 
 Python
 
 (pandas, NumPy, scikit-learn or equivalent)
 </li>
 <li>
 Solid understanding of
 
 statistics and machine learning fundamentals
 
 </li>
 <li>
 Experience with
 
 SQL and structured datasets
 
 </li>
 <li>
 Ability to work independently and ramp up quickly in a contract environment
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 utility, energy, or industrial data
 
 (electric, gas, water, AMI, IoT)
 </li>
 <li>
 
 OR
 
 demography-related datasets
 </li>
 <li>
 Experience with
 
 time series analysis and anomaly detection
 
 </li>
 <li>
 Exposure to
 
 big data platforms
 
 (Spark, Databricks, cloud platforms)
 </li>
 <li>
 Experience deploying or supporting models in production environments
 </li>
 </ul>
</div>

SoFi

<div>
 
 Employee Applicant Privacy Notice
 
 
 
 
 Who we are:
 
 
 
 Shape a brighter financial future with us.
 
 
 Together with our members, we&rsquo;re changing the way people think about and interact with personal finance.
 
 
 We&rsquo;re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we&rsquo;re at the forefront. We&rsquo;re proud to come to work every day knowing that what we do has a direct impact on people&rsquo;s lives, with our core values guiding us every step of the way.
 
 Join us to invest in yourself, your career, and the financial world.
 
 
 
 
 The Role
 
 
 
 The Risk Data Science team is looking for a Data Scientist/Senior Data Scientist to develop advanced machine learning and statistical models, guide measurement, strategy, and data-driven decision making to support various credit risk and operational areas at SoFi. The Data Scientist will work closely with Credit, Risk, Product, Engineering, and Operations teams to design solutions for underwriting, portfolio management, loss mitigation, and loss forecasting etc. These tasks involve researching and applying state of the art modeling methodologies to solve complex business problems. This role is very rewarding as your work will have a direct and immediate impact on the business&rsquo; profitability.
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Develop, implement, and continuously improve machine learning and statistical models that support various credit, risk, and operational procedures including but not limited to underwriting, portfolio management, loss mitigation, and loss forecasting, etc.
 </li>
 <li>
 Present model performance and insights to Credit, Risk, and Business Unit leaders.
 </li>
 <li>
 Proactively identify opportunities to apply advanced modeling approaches to solve complex business problems.
 </li>
 <li>
 Explore and leverage in-house and external data sources to enhance model predictive power.
 </li>
 <li>
 Collaborate with the Model Risk Management team to demonstrate models are developed with high level rigor that satisfy Model Risk Management and Governance requirements.
 </li>
 <li>
 Perform ongoing monitoring of the models through the construction of dashboards and KPI tracking
 </li>
 <li>
 Collaborate with the Product and Engineering teams to improve the model development, deployment, monitoring, and model re-calibration/re-build process..
 </li>
 <li>
 Explore and apply in-house and open-source machine learning and statistical tools and algorithms to develop and improve models.
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need
 
 
 
 
 <ul>
 <li>
 Master&rsquo;s degree in Statistics, Econometrics, Mathematics, Operations Research, Physics, Computer Science, Engineering, or quantitative field required. PhD degree preferred.
 </li>
 <li>
 2+ years of relevant work experience in building and implementing machine learning and statistical models.
 </li>
 <li>
 Excellent logic reasoning and communication abilities when interpreting business requirements and translating them into effective data solutions.
 </li>
 <li>
 Strong skills in writing efficient SQL queries and Python code to create complex attributes, especially with large datasets.
 </li>
 <li>
 Strong sensitivity to details in data and proactively investigate them to uncover unknown patterns.
 </li>
 <li>
 Strong knowledge of databases and related languages/tools such as SQL, NoSQL, Hive, etc.
 </li>
 <li>
 Demonstrated sophisticated experience in building efficient and reliable pipelines that interact with large datasets stored in SageMaker and Snowflake, automating recurring processes such as data extraction and processing, feature selection, model training, model monitoring, and generating documentation templates to support reproducibility and cross-functional collaboration.
 </li>
 <li>
 Excellent knowledge of machine learning and statistical modeling methods for supervised and unsupervised learning. These methods include (but are not limited to) regression, classification, clustering, outlier detection, novelty detection, decision trees, nearest neighbors, support vector machines, ensemble methods and boosting, neural networks, deep learning and its various applications. Continuously following the advancement of machine learning and artificial intelligence to update your knowledge and skills in order to solve business problems with the most efficient methodologies
 </li>
 <li>
 Strong programming skills in Python and machine learning libraries (e.g., sklearn, lightgbm, xgboost, pytorch, tensorflow, keras, etc.)
 
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 
 <ul>
 <li>
 Experience in a lending organization.
 </li>
 <li>
 Experience with model documentation and delivering effective verbal and written communication.
 </li>
 <li>
 Experience in working closely with Product, Engineering, and Model Risk Management teams.
 </li>
 <li>
 Experience with AWS or GCP.
 
 
 
 </li>
 </ul>
 
 Compensation And Benefits
 
 
 
 The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate&rsquo;s experience, skills, and location.
 
 
 To view all of our comprehensive and competitive benefits, visit our
 
 Benefits at SoFi
 
 page!
 
 
 SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law.
 
 
 The Company hires the best qualified candidate for the job, without regard to protected characteristics.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 New York applicants: Notice of Employee Rights
 
 
 SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com.
 
 
 Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time.
 
 
 
 Internal Employees
 
 
 
 If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.
</div>

On-Demand Group

<div>
 
 We&rsquo;re looking for a
 
 Data Scientist (2&ndash;3 years experience)
 
 to join a high-impact analytics team focused on both
 
 building models from scratch and improving models already in production
 
 .
 
 
 This role sits in a mature data science environment where senior team members own greenfield model development. You&rsquo;ll focus on
 
 end-to-end model work
 
 , including development, iteration, monitoring, and ongoing optimization in a fast-paced, agile (2-week sprint) environment.
 
 
 
 
 
 What you&rsquo;ll do:
 
 <ul>
 <li>
 Build and develop predictive models (Python, SQL, Jupyter)
 </li>
 <li>
 Work on
 
 personalization, recommendation, churn, and CLV models
 
 </li>
 <li>
 Improve and retrain models already in production
 </li>
 <li>
 Monitor model performance and drive iterative enhancements
 </li>
 <li>
 Collaborate closely with data engineering and business stakeholders
 </li>
 </ul>
 
 What we&rsquo;re looking for:
 
 <ul>
 <li>
 2&ndash;3 years experience as a Data Scientist or Applied ML role
 </li>
 <li>
 Strong
 
 Python + SQL
 
 skills
 </li>
 <li>
 Experience working in
 
 Jupyter notebooks (cloud environment preferred)
 
 </li>
 <li>
 Exposure to
 
 production or deployed ML models
 
 </li>
 <li>
 Experience with model development AND iteration/improvement
 </li>
 <li>
 Strong communication and ability to work in a collaborative, sprint-based team
 </li>
 </ul>
 
 Nice to have:
 
 <ul>
 <li>
 Snowflake, Databricks, or cloud ML platforms
 </li>
 <li>
 Experience with recommendation systems or personalization models
 </li>
 <li>
 Model monitoring, retraining, or CI/CD exposure
 </li>
 </ul>
 
 
 The projected hourly range for this position is $70.00- $80.00
 
 
 
 
 
 
 
 On-Demand Group (ODG) provides employee benefits, which include healthcare, dental, and vision insurance. ODG is an equal opportunity employer that does not discriminate on the basis of race, color, religion, gender, sexual orientation, age, national origin, disability, or any other characteristic protected by law.
 
 
 
 
</div>

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. 
 
We are seeking an experienced Data Scientist to join the Sponsored Products Auction team. This team is responsible for building and evaluating mechanisms to rank and price billions of ad impressions per day. We're looking for a Data Scientist to define measures of auction efficiency and produce insights into the quality of inputs to our auction (supply, demand, ML model predictions). This role will also be responsible for exploratory data analysis to identify opportunities for improvement of the system and working closely with Economists, Applied Scientists and Engineers to improve our product. 
 
As a Data Scientist on this team, you will: 
<ul><li>Solve real-world problems by getting and analyzing large amounts of data, diving deep to identify business insights and opportunities, design simulations and experiments, developing statistical and ML models by tailoring to business needs, and collaborating with Scientists, Engineers, BIE's, and Product Managers.</li><li>Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data
</li><li>Apply statistical and machine learning knowledge to specific business problems and data.</li><li>Build decision-making models and propose solution for the business problem you define.</li><li>Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.</li><li>Analyze historical data to identify trends and support optimal decision making.</li><li>Formalize assumptions about how our systems are expected to work, create statistical definition of the outlier, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.</li><li>Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.</li><li>Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.</li></ul> 
Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon&rsquo;s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. 
 
Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. 
 
Team video https://youtu.be/zD_6Lzw8raE</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience</li><li>2+ years of data scientist experience</li><li>3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience</li><li>Bachelor's degree</li><li>Experience applying theoretical models in an applied environment</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience in Python, Perl, or another scripting language</li><li>Experience in a ML or data scientist role with a large technology company</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. 
 
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, NY, New York - 153,400.00 - 207,500.00 USD annually 
USA, WA, SEATTLE - 136,000.00 - 184,000.00 USD annually</div>

MedReview Inc.

<div>
 
 
 
 
 
 
 
 
 
 
 
 
 
 Position Summary:&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 MedReview is looking for a talented and experienced&nbsp;
 
 Data Scientist
 
 &nbsp;to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models.&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 This position will sit in Austin, Texas. However, for the right fit, we may consider remote
 
 .&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Problem Identification:
 
 
 
 
 
 
 
 
 
 &nbsp;Collaborate with stakeholders to identify business challenges that can be solved through data analysis.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Data Collection &amp; Preparation:
 
 
 
 
 
 
 
 
 
 &nbsp;Gather data from various sources (SQL databases, APIs, web scraping), then clean and "wrangle" it to ensure accuracy for modeling.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Model Development:
 
 
 
 
 
 
 
 
 
 &nbsp;Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Exploratory Data Analysis (EDA):
 
 
 
 
 
 
 
 
 
 &nbsp;Analyze datasets to uncover hidden patterns, trends, and anomalies.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Communication &amp; Visualization:
 
 
 
 
 
 
 
 
 
 &nbsp;Translate technical findings into "data stories" using tools like&nbsp;Tableau&nbsp;or&nbsp;Power BI&nbsp;to influence executive decisions.&nbsp;
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 Qualifications:&nbsp;
 
 
 
 <ul>
 <li>
 
 
 
 
 
 
 
 
 
 
 Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Programming:
 
 
 
 
 
 
 
 
 
 &nbsp;Proficiency in&nbsp;Python&nbsp;or&nbsp;R&nbsp; along with&nbsp;SQL&nbsp;for database querying.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Mathematics &amp; Statistics:
 
 
 
 
 
 
 
 
 
 &nbsp;Strong foundation in linear algebra, calculus, and statistical modeling.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 <li>
 
 
 
 
 
 
 
 
 
 
 
 
 Machine Learning:
 
 
 
 
 
 
 
 
 
 &nbsp;Experience with frameworks like&nbsp;TensorFlow,&nbsp;PyTorch, or&nbsp;scikit-learn.
 
 
 
 
 
 
 
 
 
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Soft Skills:
 
 
 
 
 
 
 
 
 
 &nbsp;Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences.&nbsp;Experience working with global and remote teams
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

MedReview

<div>Position Summary: 
MedReview is looking for a talented and experienced Data Scientist to join our dynamic team. As a part of our team, you will leverage your analytical skills and expertise in machine learning to extract insights from complex datasets and drive data-driven decision-making across our organization. You will collaborate closely with cross-functional teams to develop predictive models, uncover actionable insights, and solve challenging business problems. As part of a global team of developers and analysts, the Data Scientist will work with a larger team to design, build, validate, refine, and operationalize models. This position will sit in Austin, Texas. However, for the right fit, we may consider remote. 
 
Responsibilities:<ul><li>
Problem Identification: Collaborate with stakeholders to identify business challenges that can be solved through data analysis.</li><li>
Data Collection &amp; Preparation: Gather data from various sources (SQL databases, APIs, web scraping), then clean and &quot;wrangle&quot; it to ensure accuracy for modeling.</li><li>
Model Development: Design and implement algorithms and predictive models using machine learning techniques to forecast outcomes or categorize information.</li><li>
Exploratory Data Analysis (EDA): Analyze datasets to uncover hidden patterns, trends, and anomalies.</li><li>
Communication &amp; Visualization: Translate technical findings into &quot;data stories&quot; using tools like Tableau or Power BI to influence executive decisions.</li></ul>
Qualifications:<ul><li>
Master&rsquo;s degree or bachelors degree and equivalent experience in a quantitative field (Math, CS, Stats)</li><li>
Programming: Proficiency in Python or R along with SQL for database querying.</li><li>
Mathematics &amp; Statistics: Strong foundation in linear algebra, calculus, and statistical modeling.</li><li>
Machine Learning: Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.</li></ul><div>
Soft Skills: Critical thinking, curiosity, and the ability to explain complex concepts to non-technical audiences. Experience working with global and remote teams</div>
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