148 Data Scientist jobs in the Philippines

About the Role

The Data Scientist is responsible for collecting, analyzing, and interpreting large and complex datasets to help the organization make data-driven decisions. This role will design predictive models, develop algorithms, and provide actionable insights that support strategic and operational goals.

KEY RESPONSIBILITIES

• Collect, clean, and preprocess structured and unstructured data from multiple sources.
• Develop and implement statistical models, machine learning algorithms, and predictive analytics solutions.
• Interpret data, analyze results, and generate insights that influence decision-making.
• Create data visualizations, dashboards, and reports to effectively communicate findings to technical and non-technical stakeholders.
• Collaborate with cross-functional teams (engineering, product, business) to translate business problems into data solutions.
• Ensure data accuracy, integrity, and security while working with sensitive information.
• Stay updated with industry trends, tools, and best practices in data science, machine learning, and AI.

Key Qualifications & Skills:

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Master's preferred).
• Proven experience as a Data Scientist or in a similar role.
• Strong proficiency in statistical tools and programming languages (Python, R, SQL).
• Hands-on experience with machine learning frameworks (TensorFlow, PyTorch, Scikit-learn).
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn).
• Familiarity with cloud platforms (AWS, GCP, Azure) is an advantage.
• Excellent analytical, problem-solving, and communication skills.

Work experience required:

• Have 3-5+ years working as a team member in delivery projects or initiatives leveraging Agile delivery practices, ideally with Product company experience
• Have experience of working within a complex, matrixed/helix model organization Formal Scrum Master experience would be a bonus
• An Agile certification would be a bonus

MS Office applications proficiency required / desired: 10/10

How to Apply

We would love to hear from you Don't miss out on this opportunity and apply now by completing your profile in detail through the link below.

About the role

Nidec Motor Philippines Corporation is seeking an exceptional Data Scientist to join our team in Metro Manila. This role focuses on transforming raw data into actionable insights using strong programming skills in R, Python, and SQL, alongside advanced statistical and machine learning techniques, including LLMs. Role will be responsible for data wrangling, developing predictive models, and visualizing complex findings with tools like Power BI or Tableau. Excellent communication is key to effectively convey these data-driven solutions to both technical and non-technical stakeholders.

What you'll be doing

• Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests and LLM tools such as GPT 4.o, Gemini, Claude.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.

What we're looking for

1. Bachelor's Degree in Information Technology, Computer Science, Computer Engineering or any related degree.
2. 3+ years working as data scientist
3. 5+ years of experience in statistical programming
4. 5+ years of experience in database query languages
5. Knowledge in current trends in AI (Artificial Intelligence) and ML (Machine Learning)
6. Good communication skills
7. Amenable to work night shifts or on shifting schedules.

What we offer

At Nidec Motor Philippines Corporation, we are committed to providing our employees with a collaborative and supportive work environment that fosters professional growth and personal development. Some of the key benefits we offer include:

• Competitive Wages and Benefits – We provide employees with market-competitive pay and benefits package
• Meal, Transportation, Rice, Clothing Allowance
• Paid Leaves – We provide leave benefits to allow employees to take time off work – 20 Vacation, 20 Sick (convertible to cash if unused)
• Guaranteed Midyear Pay and 13th month pay
• HMO for employees and qualified dependents
• Productivity and Perfect Attendance Incentive; Performance-based Merit Increase
• Hybrid Work Setup: 2 days onsite work, 3 days work from home
• Business Travel – We provide opportunities to employees in qualified roles to visit other Nidec global sites
• Life / Personal Accident Insurance
• Study Assistance

About us

Nidec Motor Philippines Corporation (NMPC) is the leading provider of value-based solutions to all business platforms of its parent company, Nidec Corporation, a manufacturer of large and small precision motors based in Kyoto, Japan. As a shared service resource for the Nidec group of companies, Nidec Motor Philippines Corporation (NMPC) provides value-based solutions to all business platforms of Nidec and its service portfolio includes Administrative Services, Financial Services, Sales and Marketing Services, IT Services, Supply Chain Management Services, Technical Engineering Services and Procurement Services.

Through our benefits, development opportunities, and an inclusive work environment, we aim to create an organization our people are proud to represent.

The Data Scientist will collaborate with various teams to deliver data-driven insights and scalable solutions that align with business objectives, while identifying opportunities for data solutions and building business cases to demonstrate their value and ROI. Additionally, research and develop ML and GenAI solutions to enhance automation, evaluate emerging technologies to improve workflows, and support change management during transitions.

Position Responsibilities:

• Collaborate with multiple teams to provide data-driven insights, develop scalable data solutions, and support business objectives

• Identify opportunities for data driven solutions, assess feasibility, and build business cases to demonstrate value and ROI

• Research, prototype, and develop ML and GenAI powered solutions to enhance automation and decision-making processes

• Evaluate and introduce emerging technologies, best practices, and tools to improve the team's capabilities and workflows

• Provide support and facilitate change management during periods of transition.

Required Qualifications:

• D egree in Statistics, Math, Computer Science, Engineering , or other courses with equivalent technical experience

• Minimum of 5 years of applicable experience with a dvanced knowledge of programming languages and concepts (R , Python, Pyspark )

• Experience developing frontends and APIs are a plus ( Javascript , C, etc.)

• Experience in designing and developing AI, NLP, and LLM powered solutions

• Experience working and developing solutions on the cloud (Azure, AWS, GCP) is a plus

• Strong knowledge of machine learning and AI algorithms

• Strong communication skills; Able to simplify complex concepts to a broad audience

• Proficient in querying and analyzing both structured and unstructured data (SQL, NoSQL, JSON, MongoDB)

• Ability to manage multiple concurrent projects

• Knowledge in statistical tests, distributions, maximum likelihood estimators, statistical modelling techniques

• Knowledge in data visualization tools such as PowerBI , plotly , R Shiny, etc.

When you join our team:

• We'll empower you to learn and grow the career you want.
• We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
• As part of our global team, we'll support you in shaping the future you want to see.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit .

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact .

Working Arrangement

Hybrid

Axos Business Center, Corp

About This Job

As a Data Scientist, you will collaborate with cross-functional business units to identify Data Product solutions and monetization opportunities through the adoption of Artificial Intelligence, Data Science, Machine Learning, and Deep Learning, ensuring innovations drive measurable revenue growth and cost optimization.

Responsibilities

• Work closely with Axos Bank business units across Consumer Banking, Commercial Banking, Securities and Clearing, Marketing, Risk management, Fraud Management and Technology COE to develop and enhance models, detection systems, and other related analytics.

• Explore existing and new data sources as part of the data strategy frame to analytically prove or disprove the value of 3rd party data sources and identify innovative ways of activating revenue.

• Lead the end-to-end model development and production grade deployment lifecycle, including problem definition, data acquisition and preparation, feature engineering, model selection, training, validation, fine tuning, reinforcement learning and performance optimization; oversee deployment to production environments, continuous monitoring, and model retraining; collaborate with business stakeholders to ensure models are aligned to strategic goals and deliver measurable monetization, operational efficiency, and customer value.

• Design, fine-tune, and deploy Large Language Models (LLMs) and autonomous AI Agents to perform complex, multi-step tasks; integrate them with external data sources and APIs; and implement reinforcement learning, prompt engineering, and monetization strategies to drive measurable business impact.

• Collaborate with data governance and data quality to ensure data products are governed and monitored for quality.

• Implement data visualization tools and dashboards to facilitate effective communication of complex analytical results.

• Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.

• Communicate complex analytical findings and insights in a clear and concise manner to non-technical stakeholders.

Requirements

• Master's or Ph.D. in computer science or analytics program with 3-5 years of professional experience in data science or bachelor's in computer science or analytics program with 5-10 years professional experience in data science

• Statistical Theory and Application Proficiency

• Proficiency in descriptive and inferential statistics with hypothesis testing design experience. Identify dispersion, and distributions (mean, median, mode, variance, standard deviation, skewness, kurtosis).
• Apply probability theory and sampling techniques to draw valid conclusions from sample data. Estimate population parameters, calculate confidence intervals, and determine margins of error. Formulate null and alternative hypotheses aligned with business questions. Design and execute statistical tests (t-tests, ANOVA, chi-square, non-parametric tests, etc.) to validate assumptions. Determine sample sizes and statistical power to ensure robust test results. Interpret p-values, effect sizes, and statistical significance for decision-making.

• Experimental Design & A/B Testing, collaborate with product, marketing, and operations teams to design controlled experiments and quasi-experiments. Implement randomization, control groups, and blocking to reduce bias and confounding effects. Monitor experiments for compliance, data quality, and interim results.

• Machine Learning Expertise

• Expert knowledge of supervised and unsupervised machine learning techniques, including linear and logistic regression, neural networks, decision trees, random forests, gradient boosted machines, Bayesian methods, and clustering methodologies. Skilled at applying these algorithms to structured and unstructured data for classification, prediction, and segmentation.
• Experienced in leveraging and fine-tuning Large Language Models (LLMs) for natural language processing tasks such as text classification, sentiment analysis, entity extraction, summarization, and complex language understanding, enabling the development of AI solutions that combine statistical modeling with advanced NLP.
• Develop and deploy hybrid AI solutions that integrate traditional machine learning models with LLMs, orchestrating pipelines that utilize both structured data algorithms and state-of-the-art natural language capabilities. Responsible for continuous model evaluation, fine-tuning, and ensuring alignment with strategic business goals to drive automation, personalization, and enhanced decision-making.

• Collaborate cross-functionally to identify use cases, design model architectures, and implement scalable machine learning workflows that maximize business impact through actionable insights and monetization strategies.

• Familiarity with Cloud environments (GCP, AWS, Azure, Databricks, Snowflake)

• Develop and maintain scalable Python-based data science architectures to support the full machine learning lifecycle, including data ingestion, exploratory analysis, feature engineering, model development, validation, and deployment; utilize libraries such as pandas, NumPy, scikit-learn, Apache PySpark, TensorFlow, PyTorch, Kera's, LLM, Lang Chain, LangGraph to create efficient, reproducible, and production-ready analytics solutions

About Axos

Born digital-first, Axos delivers financial tools and services that allow individuals, small businesses, and companies to access and manage their money how, when, and where they want. We're a diverse team of dynamic, insightful, and independent innovators who are excited to provide technology-driven solutions that offer unbeatable value to our customers.

Axos Financial is our holding company and is publicly traded on the New York Stock Exchange under the symbol "AX" (NYSE: AX).

Learn More about working at Axos Business Center

Pre-Employment Background Check, Medical, and Drug Test:

All offers are contingent upon the candidate successfully passing a credit check, criminal background check, and pre-employment medical and drug screening.

Equal Employment Opportunity:

Axos is an Equal Opportunity employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, religious creed, color, sex (including pregnancy, breast feeding and related medical conditions), gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship status, military and veteran status, marital status, age, protected medical condition, genetic information, physical disability, mental disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job Functions and Work Environment:

While performing the duties of this position, the employee is required to sit for extended periods of time. Manual dexterity and coordination are required while operating standard office equipment such as computer keyboard and mouse, calculator, telephone, copiers, etc.

The work environment characteristics described here are representative of those an employee may encounter while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this position.

Location: (On-site, BGC, Taguig)

Employment Type: Full-time

We are seeking a highly skilled Data Scientist with expertise in statistical modeling, machine learning, and data analytics. The ideal candidate will be proficient in Python, experienced in working with large datasets, and capable of building predictive models that deliver actionable business insights. This role requires both strong technical expertise and the ability to communicate complex findings to diverse stakeholders.

• Collect, clean, and analyze structured and unstructured datasets from multiple sources.
• Develop, train, and evaluate statistical and machine learning models to solve business problems.
• Apply advanced analytics to uncover trends, patterns, and insights that inform decision-making.
• Collaborate with engineering and product teams to deploy models into production environments.
• Create clear visualizations, reports, and presentations to communicate results effectively to both technical and non-technical stakeholders.

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field (PhD is a plus).
• Proven experience in data analysis, feature engineering, and machine learning model development.
• Proficiency in Python, SQL, and key data science libraries (Pandas, NumPy, Scikit-learn, etc.).
• Strong foundation in statistics, hypothesis testing, and model evaluation techniques.
• Familiarity with big data tools (Spark, Hadoop) and data visualization tools (Tableau, Power BI, Matplotlib, Seaborn) is a strong plus.
• Excellent problem-solving skills and ability to work cross-functionally in a fast-paced environment.

• Opportunity to work on cutting-edge projects in data science and AI.
• A collaborative, innovative, and growth-oriented work culture.
• Competitive compensation and benefits package.
• Professional development opportunities to advance your skills and career.

It is the spirit of Bayanihan that drives us to continue our legacy of excellence and commitment to care. As an organization, we achieve our successes through good, honest, and persevering hard work - TOGETHER. It is in this way in which our company was built; we progressed as the country's leading Pharmaceutical company, not by sheer luck, but by pure perseverance, integrity, and brotherhood. Grow with us, and be a part of the Bayanihan spirit.

ROLE OVERVIEW:

• Provides support to the teams by conducting data analysis requiring sophisticated statistical and/or modeling tools and when necessary, develops models for predictive and prescriptive purposes; performs data preparation required to accomplish above functions including data cleaning and data transformation
• Assesses quality of data by periodically conducting data audit to check on soundness and efficiency of methodology for data collection, processing, analysis, reporting/visualization, distribution and storage/ maintenance;
• Identifies gaps and opportunities in these data management processes and proposes ways to enhance or optimize these
• Designs and maintains dashboards and other possible data visualization platforms to facilitate reporting of data to relevant users in the ULCH business unit

QUALIFICATIONS

• Graduate of a Bachelor's Degree in Management Engineering, Data Science, Statistics or Management Information Technology courses
• At least 3-6 years of relevant experience
• With experience in statistical analysis, Database management (SQL), Programming Languages (Python, R), Machine Learning, Data Visualization (Tableau)

We are committed to providing our employees with the best possible experience. As a LEARNING ORGANIZATION, we are eager to support your development and create the most fitting career path for you. As DESIGNERS AND DRIVERS OF INNOVATION, we are keen to provide you with opportunities to positively transform processes that will intensify business growth. As a NURTURING FAMILY, we are passionate about conducting programs that can promote your wellness, and help you be the best that you can be. As BELIEVERS OF OUR PURPOSE, we are and we will always remain earnest in giving meaningful tasks that will keep you delighted and fulfilled - at work and beyond.

Location:MANDALUYONG CITY, METRO MANILA

Employment Type: REGULAR EMPLOYMENT

The Data Scientist plays a crucial role in advancing RAFI Microfinance's data-driven decision-making culture. This role is responsible for designing, prototyping, testing, and implementing advanced analytics solutions that support organizational strategies and business needs. The Data Scientist extracts, integrates, and explores data from multiple sources, applies statistical and machine learning methods, and develops predictive and prescriptive models to uncover business value.

Beyond technical execution, the role requires the ability to communicate insights effectively, influence stakeholders, and ensure solutions are scalable and aligned with compliance standards. The Data Scientist contributes to innovation, efficiency, and competitiveness by enabling the organization to harness data responsibly and strategically.

• Data Management

• Collect, clean, and preprocess data to ensure quality, integrity, and consistency.

• Build and maintain automated data pipelines for continuous data availability.

• Analytics & Modeling

• Design, develop, and test machine learning models and statistical analyses to address business problems.

• Evaluate, validate, and optimize model performance for accuracy, reliability, and scalability.

• Collaboration & Stakeholder Engagement

• Partner with IT, business units, and product owners to translate business requirements into data-driven solutions.

• Communicate insights, trends, and recommendations through compelling visualizations, reports, and presentations.

• Innovation & Knowledge Sharing

• Stay updated on emerging technologies, data science trends, and AI advancements.

• Support the development of organizational data science standards, documentation, and practices.
• Contribute to building a culture of data literacy and responsible data use across the organization.

• Governance & Compliance

• Ensure adherence to data privacy, security, and governance frameworks.

• Support risk management by applying best practices in data handling and compliance.

• Technical Expertise

• Proficiency in programming: Python, R, SQL

• Advanced proficiency in Python and SQL, intermediate proficiency in R
• Knowledge in machine learning (e.g., TensorFlow) and statistical analysis
• Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
• Experience with data visualization tools: Power BI, Tableau, Looker
• Familiarity with cloud platforms (Azure, AWS) and big data technologies (Hadoop, Spark)
• Strong foundation in data governance and data privacy standards

• Soft Skills

• Excellent communication and stakeholder management skills

• Analytical mindset with strong problem-solving abilities
• Strong organizational and time management skills
• Ability to explain complex technical concepts to non-technical audiences

• Education/Background

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or related field

• Experience in applied data science roles within business or financial services preferred
• Experience in financial services, banking, or microfinance sector highly preferred but not essential
• Minimum 3-5 years of experience in applied data science or analytics roles
• Must be legally authorised to work in the Philippines without sponsorship

Technical

• Data wrangling and data quality assurance
• Advanced statistical methods (hypothesis testing, regression, time series, A/B testing)
• Model development, deployment, and evaluation
• Dashboard design and storytelling with data
• Cloud computing (Azure, AWS exposure)
• Automation and workflow scripting
• Version control and collaboration (e.g., Git)

Human Relations

• Strong leadership and mentoring skills
• Effective communicator and collaborator across teams
• Ability to manage stakeholder expectations

Personal Attributes

• God-centered and values-driven
• Confident, adaptable, and resilient
• Passionate about data and innovation
• Mature and grounded in decision-making

The Data Scientist will play a key role in ensuring our data foundations are reliable, then focus on developing analytics solutions and creating impactful visualizations that turn data into actionable insights for business teams.

Key Responsibilities:

• Support the completion and optimization of existing ETL data pipelines and cloud storage (AWS S3)
• Ensure data accuracy, integrity, and availability for analytics use
• Build and enhance dashboards, reports, and visualizations that effectively communicate insights
• Partner with stakeholders to identify opportunities for data-driven improvements
• Translate complex datasets into clear, actionable business intelligence

Job Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, Information Technology, Industrial Engineering, or a related field
• 1–3 years of experience in data engineering and/or analytics
• Advanced proficiency in Python and SQL (must-have)
• Strong experience with data visualization tools (e.g., Power BI, Excel)
• Knowledge of cloud platforms (e.g., Snowflake, AWS)
• Familiarity with ETL/ELT tools (Matillion or similar)
• Strong analytical skills, attention to detail, and ability to tell a story with data
• Ability to work independently while collaborating effectively with cross-functional teams.
• Willing to work in Ortigas, Pasig (Hybrid Work Setup).

Jollibee Worldwide Pte. Ltd., the hiring entity, is a wholly owned subsidiary of Jollibee Foods Corporation.

Data Scientist (Real Estate)

Location: Remote

Job Type: Full-time

About Us: Homely is a rapidly expanding Southern California-based start-up, offers you the chance to take control of your income and career. Our leadership team is seasoned in driving massive growth and investing in real estate—now we're looking for top-tier talent to help us scale. We are looking for a talented Data Scientist to join our team and drive innovation in the real estate industry through advanced analytics and machine learning.

Job Summary: The Data Scientist (Real Estate) will analyze large datasets, develop predictive models, and generate actionable insights to support investment decisions, pricing strategies, and market analysis. This role requires expertise in data science, machine learning, and statistical analysis, combined with an understanding of real estate market dynamics.

Key Responsibilities:

● Collect, clean, and analyze real estate data from multiple sources (MLS, public records, property listings, market reports, etc.).

● Develop machine learning models to predict property prices, rental values, and market trends.

● Identify trends in housing prices, rental rates, and demand. Predict future real estate trends using historical data and machine learning models.

● Analyze economic indicators like interest rates and employment rates to determine their impact on the real estate market. Build data-driven tools for investment analysis, customer segmentation, and risk assessment.

● Conduct geospatial analysis to identify high-growth real estate opportunities.

● Develop machine learning models to predict property prices based on location, square footage, number of bedrooms, and nearby amenities.

● Analyze comparables (comps) to set competitive pricing for sellers and landlords.

● Use AI-powered models to suggest pricing strategies for real estate listings.

● Automate data pipelines and dashboards to provide real-time market insights. Work closely with product, marketing, and finance teams to optimize real estate strategies.

● Detect and mitigate fraud risks using anomaly detection techniques.

● Research and implement AI solutions to enhance property recommendations and customer engagement.

● Evaluate investment risks by analyzing factors such as neighborhood crime rates, foreclosure rates, and economic stability.

● Detect fraudulent real estate transactions by identifying anomalies in buying patterns or mortgage applications.

● Assess creditworthiness of buyers using alternative data sources.

● Help investors identify high-return properties based on ROI (Return on Investment) and cap rates.

● Create predictive models to determine the best locations for property development.

● Use geospatial analysis to identify emerging real estate hotspots.

● Automate property management tasks like tenant screening, rent collection, and maintenance requests.

● Streamline real estate transactions by using AI-powered document processing.

● Optimize real estate listings for better engagement on digital platforms.

● Predict the impact of new developments on property values.

● Stay updated on industry trends, emerging technologies, and regulatory changes in real estate analytics.

Qualifications:

● Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.

● 2+ years of experience in data science, preferably in the real estate, finance, or proptech industries.

● Proficiency in Python, R, SQL, and data visualization tools (Tableau, Power BI, or similar).

● Strong understanding of machine learning algorithms, statistical modeling, and predictive analytics.

● Experience working with large datasets, cloud platforms (AWS, GCP, Azure), and database management.

● Knowledge of geospatial analysis (GIS) and real estate valuation models is a plus.

● Excellent problem-solving skills and the ability to translate data insights into business value.

● Strong communication skills and the ability to collaborate with cross-functional teams.

Compensation & Benefits:

● Competitive Salary

● US Federal Holidays: Paid time off.

● Payroll: Weekly

● Method of Payment (MOP): Deel

Work Schedule

● 9 AM - 6 PM PST, with 1 hr lunch. Monday to Friday

Job Type: Full-time

Benefits:

• Work from home

Application Question(s):

• Do you have hands-on experience developing and deploying machine learning models in a production environment? How long?
• Have you built predictive models for valuation, prices, or market trends?
• What programming languages and tools are you proficient in?

Work Location: Remote