Top 10 Remote Data Science Jobs in the US in 2021

Global companies like Facebook, Instagram, and Twitter are hiring remote data scientists!

The pandemic has proved the impact of data science on businesses by showing them direction amidst the chaos. Companies who were braced by the sudden change in business dynamic felt redemption through data analysis and the insights it provided to target the right audience and alter their business processes. Because valuable data is all around us, companies are actively hiring data scientists and analysts who can extract gold from the piles of data.

If you are a data professional looking for a change, here are the top remote data science jobs in the US you can apply to. To increase your chances of selection, here are the important data science interview questions you should prep for in 2021.

1. Company – World Wide Technology

Role: Senior Analyst

Job Overview

The Analyst is responsible for solving business problems within customer engagements, interacts with clients to understand their business needs, and works with project teams to develop solutions leveraging WWT's capabilities. The ideal candidate can understand detailed technological, business, and analytical concepts and communicate those concepts to clients in a way that is easy to comprehend. WWT is looking for high-impact, motivated, and thoughtful individuals to join our Business and Analytics Advisors team.

Responsibilities

• Develop analytical and technological solutions to achieve defined business objectives.
• Consult with business users to ensure that solutions meet business needs and are practical to implement.
• Help maintain project plans and schedules.
• Create project documentation including technical documents such as process flows and user manuals.
• Create clear, compelling charts, tables, and other visuals.
• Present results and recommendations to clients and partners.
• Create educational and sales materials to empower WWT account teams.

Qualifications:

• BA or BS required

Preferred majors include:

• Economics
• Statistics
• Management
• Engineering
• Mathematics
• Physics
• Biology
• Chemistry
• Work Experience
• 2-3 years of work experience, including internships, in one or more of the following areas is preferred:
  • Management Consulting
  • Engineering
  • Scientific Research
  • Technology Sales
  • Cybersecurity
  • Data Science
  • Application Development
• Excellent communication and engagement skills; ability to communicate with all levels of management.
• Skilled at multitasking requirements including gathering, testing, troubleshooting, and supporting tasks across multiple user groups in a fast-paced and deadline-driven environment.
• Ability to generate creative solutions to difficult or ambiguous problems.
• Thoughtful problem-solving skills and ability to work well in groups.
• Ability to ask the right questions to understand the business problem and identify the measurement or business object.
• Proficiency with Microsoft PowerPoint & Excel.
• The ideal candidate is a supportive, positive, self-driven, and growth-oriented individual with a passion for delivering quality insights in a business environment.

2. Company – Bridge

Role – Data Analyst Associate

Job Overview 

BRIDGE is seeking a Data Analyst Associate who will be responsible for assisting in the delivery of data requests from its clients and connecting quickly with team members to build lasting, successful relationships. The job will require:

• Processing data requests from clients on Bridge proprietary programs.
• Learning and executing MYSQL and related code to extract data for client orders.
• Processing list management business orders.
• Working closely with cross-functional teams to understand and fulfill client requests.

Qualifications:

• Have a solid working knowledge of SQL & MS Excel.
• Familiarity with Python.
• Proven ability and initiative.
• Excellent organizational skills, including attention to precise details.
• Strong multitasking skills and ability to work in a fast-paced environment.
• Excellent written and verbal communication skills.
• College degree, computer science, or related field.

3. Company – Twitter

Role – Product Data Scientist – Ads Data Science

Job Responsibilities

Twitter is looking for a key individual contributor to drive its advertising products forward. The company decides which ads to serve billions of times a day under a sub-second setting. The chosen candidate will ship new features and optimize existing products. He/she will perform rigorous analysis, understand our advertising products, experiment, make data-driven decisions, optimize for impact, and measure performance funnels.

4. Company – Root Insurance

Role – State Analyst

Job Overview

The mission of the state management team is to identify and implement strategies to maximize growth and profitability in each and every market the company operates in. The group focuses heavily on pricing but also explores items including underwriting, operations, and marketing to ensure the goals are met.

Responsibilities

• Scope and lead exploratory research to quantify the impacts of new strategies.
• Identify opportunities to enhance performance by analyzing segmented business metrics.
• Build advanced dashboards and reporting to monitor market performance.
• Present and defend your findings to technical and non-technical business stakeholders.
• Design and conduct A/B tests.
• Collaborate with members from data science, actuary, and competitive intelligence.

Qualifications

• 2+ years of work experience in analytics (preferably at a P&C insurance carrier.
• Experience with SQL/R/Python/Tableau is preferred.
• Familiarity with basic statistical techniques: regression, p-values, confidence intervals.
• A proven track record of success with ambiguous analytics projects.
• Experience presenting complex technical information to senior-level stakeholders.
• Proven ability to execute projects quickly.
• Self-motivated; unafraid to work without much guidance or oversight.
• Strong attention to detail.
• Unabashed question asker; willing to learn anything needed to get things done.

5. Company – Quora

Role – Staff Data Scientist

Job Overview

As a data scientist, the selected employee will work closely with product managers, product designers, and engineers to devise appropriate measurements and metrics, design randomized controlled experiments, build visualizations, and tackle hard, open-ended problems that uncover usage patterns and opportunities for the company. Quora has a wide range of rich data, giving the candidate ample room for exploration and creativity. Examples of some projects Quora's data scientists have worked on include modeling its long-term growth, improving the relevance and personalization of the homepage feed, and exploratory analysis of factors driving question-asking behavior.

Responsibilities

• Extract actionable insights from broad, open-ended questions.
• Design and evaluate experiments to measure the impact of product changes.
• Analyze data from across the product to uncover the root causes of metric movements.
• Communicate results to cross-functional stakeholders to inform product decisions.
• Develop tools to scale and automate analyses, improving productivity across the company.
• Improve the work of other data scientists through mentorship and by bringing industry best practices to the team.

Qualifications

• Ability to be available for meetings and impromptu communication during Quora's "coordination hours" (Mon-Fri: 9 am-3 pm Pacific Time).
• 5+ years work experience in an analytical or quantitative role as a Data Scientist or similar title.
• 3+ years of experience working on product analytics.
• Extensive experience generating insights using statistical techniques (e.g. regression, hypothesis testing).
• Demonstrated ability to clearly explain data results to cross-functional teams.
• Experience using a procedural programming language (e.g. Python, R) to manipulate, clean, and analyze data.
• Ability to exercise judgment and combine quantitative skills with intuition and common sense.
• Experience evangelizing best practices and process improvements on your team.

Preferred Qualifications

• Experience working with large data sets and distributed computing tools (e.g. Redshift, Presto).
• Experience pushing code and navigating a complex codebase.
• Active Quora user with curiosity about the product.

6. Company – Kaplan

Role – Data Analyst, Customer Insights

Job Overview

As the data analyst for Customer Insights at Kaplan North America, this role will draw together key consumer insights to drive business decisions and strategy. The role will manage the team's existing longitudinal surveys, create ad hoc research, and drive experimentation for the marketing team. A subject matter expert for internal clients that will be relied upon to provide results in a clear, easy-to-understand manner. To succeed in this role, the candidate will possess a solid technical background, strong communication skills for interacting with and managing expectations of key stakeholders, and a natural drive to design and conduct experiments and influence strategy and innovation at KNA.

Responsibilities

• Create and execute ad hoc research requests. Analyze survey/experiment results using Excel/R and create presentations using PowerPoint/Google slides.
• Manage and become an SME on longitudinal surveys.
• Create visualizations that are informative and easy to understand for stakeholders.
• Design samples and manage SQL queries for the team.
• Perform basic statistical tests on internal data and combine those with survey results.
• Clean & mine the existing data in the Qualtrics survey platform.
• Conduct cluster analyses of internal data to segment customers and leads. Report on these results to the appropriate business leads and marketing stakeholders.
• Hold an interest in NLP and sentiment analysis and a desire to enhance those skills.
• Assist in the design and execution of qualitative research projects such as focus groups, in-depth interviews, and user tests.
• Possess an instinctive drive and curiosity for quantitative and qualitative data analysis

Qualifications

• Bachelor's Degree with a focus in Data Science, Computer Science, Marketing, Business, Economics, or equivalent technical fields.
• At least 1 year of research/data analysis experience.
• SQL, R/Python, Microsoft Office
• Survey/Experiment Design, Data Visualization
• Analytical, Highly motivated, Solution-oriented, Empathetic

7. Company – Instagram

Role – Manager of Marketing Decision Science

Job Overview

Instagram Marketing Decision Science (IG MDS) team's mission is to transform Instagram Brand into an iconic symbol of culture, especially for youthful optimists, its users. The company informs the strategy that creates marketing and product experiences that are as brave as the youth culture it celebrates. Instagram does that by using data and science to activate a brand strategy, lead the understand-test-measure-optimize cycle across the audience, creative, messaging, and media

Responsibilities

• Partner with marketing, research, and product organizations to scope, design, execute, measure, and improve the impact of our marketing efforts on the world and on our business.
• Understand Instagram users' attitudes, emotions, and opinions to promote product awareness and meaningful interactions on the platform.
• Translate data insights into actions and recommendations that will drive brand sentiment, user growth and engagement, and marketing effectiveness.
• Influence marketing and media strategy by developing a deep audience understanding by integrating consumer perception, sentiment, and product behavioral data.
• Develop marketing measurement plans, learning agendas, metrics, and goals that echo the brand and marketing strategy. Socialize the plan with cross-functional partners (marketing, research, media, product) and gain alignment.
• Execute marketing surveys via in-house tools and vendors to get a robust understanding of consumer sentiment. Study the performance of marketing campaigns using robust and state-of-the-art measurement techniques, statistical or econometric models and ensure accountability of marketing.
• Develop quantitative analysis, tools, ad hoc reports, and models to support marketing decision-making. Analysis areas might include (but not limited to): segmentation, A/B, advanced survey analysis, text mining, regressions and measurement sciences (causal inference, observational data analysis, bias mitigation, matching techniques, etc.), sentiment, messaging, promotions, usage, and engagement.

Qualification

• A degree in economics, operations research, mathematics, statistics, engineering, psychology, or another field with quantitative understanding.
• 7+ years of experience in consultative roles, supported by data analysis, data science, or similar quantitative fields with 2+ years in a people manager capacity.
• Demonstrated communication capabilities with cross-functional stakeholders from both quantitative and non-quantitative functions.
• Time management, experience balancing multiple projects, and prioritization skills.
• Experience in communication, documents, and presentation decks that include data visualization such as charts, infographics to communicate quantitative information and translating to business-facing recommendations.
• Experience finding, cleaning, and manipulating data to build data sets.
• Statistical modeling and data analysis experience (e.g. significance testing, regression modeling, sampling theory, etc.).
• Experience using R or Python or a similar scripting language for statistical modeling
• Experience with SQL, Hive, Presto, Hadoop, or other data querying languages.

Preferred Qualification

• An MBA or Masters or Doctorate degree in economics, operational research, mathematics, statistics, engineering, psychology, or another field with strong quantitative roots and demands.
• Management consulting experience or a similar career requiring one to present data-driven insights to business stakeholders.
• Experience developing data pipelines.
• Experience writing production code for automated models.
• Experience using open-source statistical packages such as dplyr, Rstudio, NumPy, pandas.
• Basic experience or basic understanding of machine learning, data mining, and natural language processing.
• Understanding of marketing as a function.

8. Company – Spotify

Role – Data Scientist – Spotify for Artists

Job Overview

Spotify is looking for a data scientist with experience of working in a product development team, testing new product concepts with users at scale, thinking creatively about experimentation, and using statistical modeling to generate insights from large-scale datasets. The chosen candidate will join one of the product teams within Spotify for Artists and help inform the way Spotify builds its platform to allow artists and their teams to achieve success on Spotify.

Responsibilities

• Gain a deep understanding of how products and platforms influence user behavior by extracting insights from rich datasets to drive the Spotify for Artists roadmap.
• Identify the most impactful opportunities for product development based on user needs, and execute on them diligently and resourcefully, sequencing hypotheses to ladder up to broader business goals.
• Partner closely with the other data scientists and data engineers to help inform, build and test hypotheses to deliver actionable insights to fuel our products leveraging your skills in experimentation & statistical modeling.
• Define the metrics we use to measure the health of initiatives and track them through dashboards.
• Work closely with cross-functional teams of data scientists, researchers, product owners, engineers, designers, marketers, and others across the company who are passionate about our marketplace.
• Be an advocate for data-informed decision-making, making recommendations about the product performance and product experience available to the Marketplace organization.

Qualification

• 3+ years of experience applying experimentation methods & advanced statistical modeling to drive product development.
• Experience with product analytics, including crafting success metrics, running power analyses, determining statistical significance, and presenting findings with clear product recommendations or implications.
• You are capable of tackling loosely defined problems and translating complex thinking into practical application for diverse audiences.
• You have strong communication skills and value building relationships with colleagues and partners as well as the ability to explain sophisticated topics in straightforward terms.
• You're a compelling storyteller who can communicate in succinct and inspiring ways to audiences with varied data science experiences to influence real-world product or feature decisions.
• Proficiency in Python and SQL. Ideally, you are also skilled at performing analysis on large datasets.
• Comfortable working with distributed teams across multiple offices and time zones.

9. Company – Facebook

Role – Data Scientist, Product Analysis

Job Overview

Facebook is looking for Data Scientists to work on its core and business products (ex. Instagram, Messenger, FB App, Ads, WhatsApp, Integrity, Reality Labs Oculus AR/VR, etc.) to help shape the future of what is built at Facebook. The candidate will enjoy working with one of the richest data sets in the world, cutting-edge technology, and the ability to see his/her insights turned into real products on a regular basis.

Responsibilities

• Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
• Partner with Product and Engineering teams to solve problems and identify trends and opportunities.
• Inform, influence, support and execute our product decisions and product launches.
• The Data Scientist Analytics role has worked across the following four areas:
• Product Operations
  • Forecasting and setting product team goals
  • Designing and evaluating experiments
  • Monitoring key product metrics, understanding root causes of changes in metrics
  • Building and analyzing dashboards and reports
  • Building key data sets to empower operational and exploratory analysis
  • Evaluating and defining metrics
• Exploratory Analysis
  • Proposing what to build in the next roadmap
  • Understanding ecosystems, user behaviors, and long-term trends
  • Identifying new levers to help move key metrics
  • Building models of user behaviors for analysis or to power production systems
• Product Leadership
  • Influencing product teams through presentation of data-based recommendations
  • Communicating state of business, experiment results, etc. to product teams
  • Spreading best practices to analytics and product teams
• Data Infrastructure
  • Working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica
  • Automating analyses and authoring pipelines via SQL and Python-based ETL framework

Qualification

• Bachelors/Masters Degree with 4+ years (or Ph.D. with 2+ years) of experience in the following areas:
  • Data or analytics work, or work similar to Facebook Analytics.
  • Complex quantitative analysis and working with distributed (i.e. Hive, Hadoop, or similar databases) or highly complex datasets.
  • Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
  • Applied statistics or experimentation (i.e. A/B testing) in an industry setting
  • 2+ years of experience communicating the results of analyses to leadership teams to influence the strategy.

Preferred Qualification

• Experience in a consumer technology company
• 6+ years of experience in all the above minimum

10. Company – EvolveAI

Role – Data Science Consultant

Job Overview

EvolveAI is currently working on behalf of a world-leading insurance company who are looking to expand their Data Science Consulting practice and are looking for candidates with experience working within either consulting or insurance.

Responsibilities

• Lead the development of analytics strategies to solve business problems and lead the projects through to execution.
• Experience working with business stakeholders to understand complex business problems and work with technical teams to build analytics solutions.
• Become a trusted stakeholder for senior stakeholders across a variety of business lines.
• Act as an evangelist within the organization to further the impact of data analytics across various functions.

Qualification

• Bachelor's or master's degree in a quantitative field would be advantageous.
• Commercial experience either within management consulting or as an internal data consultant for a large organization.
• A solid understanding of the Data Science lifecycle and a proven track record helping clients to tackle business problems using analytics.
• Strong stakeholder management skills and some experience in project management would be advantageous.
• Experience with coding in SQL, Python, or R would be advantageous.

All the information mentioned above is as per the companies' official job listing. For more details about the job location, industry, and wage, visit their official websites and look for job postings.