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Even though working from home has become the new standard in the wake of the COVID-19 shutdowns, many firms that hire data scientists have long-standing remote work policies and attractive perks for their employees. Data scientists are one of the most popular occupations that can be done from home, and the sector is predicted to increase by 16% by 2028. Data scientists, analysts, and engineers are needed by companies in a variety of industries, including healthcare, communication, and data analytics.
Location: Bengaluru, Karnataka, India (Remote)
About the Company: EPAM Systems, Inc. has been leading worldwide product development, digital platform engineering, and top digital and product design agency since 1993, leveraging its software engineering skills.
Roles and Responsibilities: You must identify useful data sources and automate collecting procedures, do structured and unstructured data preparation, analyze huge volumes of data to find trends and patterns, and develop prediction models and machine-learning algorithms.
Qualifications: Experience as a Data Scientist
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Location: Bengaluru, Karnataka, India (Remote)
About the Company: Calix is the world's leading provider of cloud and software platforms, solutions, and services for tomorrow's unified access network and smart buildings.
Roles and Responsibilities: To implement and add features to the Calix cloud platform, you'll need to work with domain experts, integrate and extract relevant information from large amounts of both structured and unstructured data to enable analytical solutions, and conduct advanced analytics using predictive modeling, machine learning, simulation, optimization, and other techniques to deliver insights in cloud services.
Qualifications: Master's degree in computer science, applied mathematics, quantitative economics, statistics, or related field.
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Location: Chennai, Tamil Nadu, India (Remote)
About the Company: Personify Financials' parent business, Applied Data Finance, has created a better approach to assess the credit risk of non-prime borrowers who are unable to obtain traditional financing.
Roles and Responsibilities: You must gain experience analyzing large data sets, collaborating closely with other business functions to develop key reporting projects, tracking metrics and providing insights and business trends to stakeholders, and conducting business-driven analysis that transforms data into actionable insights.
Qualifications: You must be proficient in programming languages such as Python and data processing with SQL or equivalent.
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Location: Bengaluru, Karnataka, India (Remote)
About the Company: Citrix develops technology that enables businesses to #UnlockPotential and improves employee experience. The company's objective is to provide individuals with the freedom to flourish and perform their best job, regardless of where they are.
Roles and Responsibilities: You must do exploratory and targeted data analysis using descriptive statistics and other approaches, manage end-to-end data science projects from conception to completion and develop modeling frameworks to predict churn propensity, cross-sell, and upsell opportunities.
Qualifications: You'll have a bachelor's or master's degree in statistics, mathematics, computer science, or a similar subject, as well as 6 years of expertise in an analytics/DS-related profession, including exposure to SaaS business data.
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Location: India (Remote)
About the Company: DataRobot is the AI cloud leader, providing a single platform for all users, all data types, and all settings, allowing AI to be deployed faster.
Roles and Responsibilities: You must assure our clients' success by assisting them in achieving quantifiable value realization indicators, which will lead to renewals or expansions, advancing both the customers' and DataRobot's growth. You must serve as a trusted AI adviser across the customer lifecycle, enabling clients to use DataRobot to address challenging data science issues, including problem framing, data preparation, scripting, model development, model deployment, model maintenance, and output consumption.
Qualifications: 4+ years of experience either in a PreSales role (and with a motivation to learn data science) or in Data Science/predictive modeling. A strong candidate with 2+ years as a PreSales data scientist will also be considered and 2+ years of experience in a customer-facing role.
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Location: Mumbai, Maharashtra, India (Remote)
About the Company: ConnectWise has evolved into a comprehensive software platform designed to help technology solution providers (TSPs) operate their whole as-a-service company.
Roles and Responsibilities: You must gather, preprocess, and analyze data, create models to solve business issues, and display information using data visualization approaches.
Qualifications: 5-8 Years of experience and 3+ proven experience as data scientists or data analysts.
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Location: United States (Remote)
About the Company: Facebook's purpose, from its inception in 2004, has been to empower individuals to create communities and bring the globe closer together. Every month, over 2 billion people use Facebook, Instagram, WhatsApp, or Messenger to stay in touch with friends and family, learn about current events, and share and express what is important to them.
Roles and Responsibilities: To look beyond the statistics and understand how Partnership Marketing firms operate, you must use your quantitative analysis, data mining, and data presentation skills.
Qualifications: Bachelors in engineering, statistics, economics, applied mathematics, data science, or equivalent experience or related field.
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Location: London, ON (Remote)
About the Company: Toptal is a global network of elite business, creative, and technology talent that allows businesses to grow their teams on demand. Toptal is the world's biggest completely dispersed workforce, with over US$200 million in yearly revenue and over 40% year-over-year growth.
Qualifications: At least 3 years of professional experience in data science and Project management skills.
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Location: Toronto, ON (Remote)
About the Company: Because communication is a force for good in the world, Twitter serves the public discourse. We are drawn to jobs at Twitter because of the chance to help the world communicate, debate, learn and solve issues.
Roles and Responsibilities: As a staff data scientist on the data science team, you will design, implement, and analyze experiments to determine how platform changes affect user behavior and refine our theoretical understanding of users' interests and the communities they form. You will also conduct analyses to derive strategic insights from vast datasets across various product areas.
Qualifications: Ph.D. in a quantitative field and 4+ years of experience (or 7+ years of total post-graduate experience).
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Location: Canada (Remote)
About the Company: MindGeek continues to advance the state of technology by inventing industry-leading solutions that enable millions of consumers across the world to get information quicker and more efficiently every second. The company is dedicated to improving its technological skills and relies on a long-term growth strategy based on innovation and quality.
Roles and Responsibilities: Discover answers to unique data science issues while meeting business objectives, create and deploy complete solutions, and load and clean data are all things you'll be doing.
Qualifications: Ph.D. in a quantitative STEM field with an important data analysis component or MSc. in a quantitative STEM field with 3+ years of experience as a data scientist.
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