Data science jobs
We, at Turing, are looking for exceptional data scientists who can do business/product research, create critical KPIs, and set product team goals. Apply for the best data science jobs and work with Silicon Valley's most prestigious firms.
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Job description
Job responsibilities
- Identify business issues and product/service enhancement possibilities
- Make strategic or tactical suggestions based on your analysis
- Use your knowledge of data cleansing and wrangling, quantitative analysis, and data mining to solve problems
- Look past the stats to see how people connect with our customers and products
- Collaborate with the product and engineering teams to address issues and uncover trends and opportunities
- Inform, influence, support, and execute our product decisions and product launches
- Forecasting and setting product team goals, designing and evaluating experiments
- Monitoring important product KPIs and figuring out what's causing them to change
- Creating and evaluating reports and dashboards
- Build major data sets to enable operational and exploratory analysis
- Defining and evaluating key metrics
- Specifying what should be included in the upcoming roadmap
- Identifying new levers to assist in the movement of critical metrics
- Creating user behavior models for analysis or to drive manufacturing systems
- Influencing product teams through the presentation of data-based recommendations
- Communicating the state of business, experiment results, etc. to product teams
- Educating analytics and product teams on best practices
Minimum requirements
- Bachelor’s Degree/MA or Ph.D. with a focus in Business, Math, Economics, Finance, Statistics, Science or Engineering
- 3+ years of professional experience in Data science jobs (rare exceptions for highly skilled candidates)
- Strong understanding of data mining, data models, segmentation techniques, and database design development
- Ability to structure, analyze, and extract data according to business requirements
- Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, MATLAB)
- Fluency in English to collaborate with engineering managers
- Work full-time (40 hours/week) with a 4-hour overlap with US time zones
Preferred skills
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate large amounts of data with attention to detail and accuracy
- Applied statistics or experimentation (i.e. A/B testing) in an industry setting
- Expertise in relevant fields of technical writing, including reports, inquiries, and presentations
- Excellent interpersonal and collaborative skills
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Frequently Asked Questions
How to become a Data Scientist?
Getting data science jobs requires a mix of technical skills, analytical thinking, and domain knowledge. Data scientists are specialists with a focus on analysis, utilizing both technological tools and insights from social sciences to detect patterns and handle data effectively. Their approach involves leveraging industry know-how, contextual understanding, and the ability to question prevailing assumptions to address business challenges.
What is the scope of Data science jobs?
The scope of data science jobs is extensive and includes various industries such as finance, healthcare, retail, and technology. Data scientists play a pivotal role in extracting meaningful insights from vast datasets to inform business decisions, optimize processes, and drive innovation. With the increase of data in today's digital age, the demand for skilled data professionals continues to rise. Additionally, the emergence of specialized fields like artificial intelligence and big data further widens the scope, offering diverse career opportunities within data science jobs, such as:
- Data Scientist: A data scientist employs artificial intelligence and machine learning techniques to analyze data, uncover patterns, and identify trends, enabling informed decision-making based on data insights.
- Data Administrator: A data analyst sifts through data to extract relevant information for business purposes. They oversee data flow and trends, providing support to their teams in understanding and utilizing data effectively.
- Data Engineer: Responsible for maintaining the integrity, performance, and security of organizational databases, a data engineer ensures data reliability. Proficient in relational databases, disaster recovery protocols, and reporting tools, they manage database operations efficiently.
What are the roles and responsibilities of Data science jobs?
Data scientists play a crucial role in various industries by extracting insights from data to inform decision-making and drive innovation. Their roles and responsibilities typically include:
1. Data Analysis: Analyzing large datasets to identify patterns, trends, and correlations using statistical methods and machine learning algorithms.
2. Data Modeling: Developing predictive models and algorithms to forecast future trends, behavior, or outcomes based on historical data.
3. Data Visualization: Creating visual representations of data through charts, graphs, and dashboards to communicate findings effectively to stakeholders.
4. Machine Learning: Applying machine learning techniques to build and train models for tasks such as classification, regression, clustering, and recommendation systems.
5. Data Cleaning and Preprocessing: Cleaning and preprocessing raw data to ensure accuracy, consistency, and completeness before analysis.
6 Experimentation and Testing: Designing and conducting experiments to validate hypotheses and improve model performance.
7. Ethical Considerations: Ensuring ethical use of data and maintaining data privacy and security in accordance with regulations and best practices.
Skills required to become a Data Scientist
To excel as a data scientist, you will need the following skills:
- Proficiency in programming languages like Python, R, or SQL for data manipulation and analysis.
- Strong foundation in mathematics and statistics for effective modeling and interpretation.
- Knowledge of machine learning algorithms and techniques for predictive analytics and pattern recognition.
- Familiarity with data visualization tools such as Tableau or Matplotlib to communicate insights visually.
- Critical thinking and problem-solving skills to tackle complex data-related challenges.
- Domain expertise in specific industries enhances understanding and contextualization of data.
- Continuous learning and adaptability to stay abreast of evolving technologies and methodologies in data science.
Why become a Data scientist at Turing?
Turing offers some of the best remote data science jobs. By engaging in stimulating technology and business challenges, you can thrive in your professional career. Join our community of top-tier developers to get full-time remote data science opportunities with competitive salaries and a promising career progression.
How much does Turing pay their Data scientists?
In Turing, Data scientists have the opportunity to set their own rates. Turing, on the other hand, will propose a salary at which we know we can find you a successful and long-term position. Our suggestions are always based on our exhaustive analysis of market conditions as well as customer preferences.
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