44 Data Scientist Jobs in Boston, MA
Understanding Recruitment is Hiring a Data Scientist Near Boston, MA
Do you want to have a serious impact on people's lives?
Are you an ambitious Data Scientist?
Are you a skilled data scientist with a passion for transforming raw data into actionable insights and driving innovation? Our client is actively seeking a talented Data Scientist to join their team, playing a pivotal role in leveraging data to advance research, development, and decision-making in biotechnology.
Why Join Them?
- Data-Driven Innovation: Lead the way in analyzing complex datasets to uncover patterns, trends, and opportunities that drive scientific breakthroughs and business growth.
- Innovative Environment: Be part of a company that values innovation and embraces the transformative power of data science in biotechnology.
- Global Impact: Contribute to the success of a company making meaningful contributions to healthcare and scientific discovery on a global scale.
Key Responsibilities:
- Data Analysis: Apply statistical and machine learning techniques to analyze large-scale biological and experimental datasets, extracting valuable insights to inform research and development efforts.
- Predictive Modeling: Develop predictive models and algorithms to forecast outcomes, optimize processes, and guide strategic decision-making across various biotech projects.
- Data Visualization: Create compelling visualizations and dashboards to communicate findings effectively and empower stakeholders to make data-driven decisions.
- Collaboration: Work closely with interdisciplinary teams of biologists, clinicians, engineers, and researchers to integrate data science methodologies into project workflows and drive collective innovation.
Qualifications:
- Educational Background: Master’s or Ph.D. degree in Data Science, Statistics, Computer Science, or a related field.
- Experience: Proven experience in applying statistical and machine learning techniques to analyze biological or biomedical data, preferably in a biotech or life sciences setting.
- Technical Proficiency: Proficiency in programming languages such as Python or R, as well as experience with data manipulation and visualization libraries (e.g., pandas, matplotlib, seaborn).
- Analytical Skills: Strong analytical and problem-solving skills, with the ability to translate complex datasets into actionable insights and solutions.
Requirements:
- Communication Skills: Excellent communication skills to collaborate effectively with cross-functional teams, convey technical concepts to non-technical stakeholders, and present findings in clear and concise terms.
- Innovation Mindset: A passion for exploring new methodologies, tools, and technologies in data science, and the ability to drive innovation within the organization.
Job Summary
Full Time
$111k-137k (estimate)
04/19/2024
05/02/2024
understandingrecruitment.co.uk
St Albans
<25
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
02/17/2022: Lompoc, CA
A data scientist develops software to structure the raw data.
02/16/2022: Lansing, MI
Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
02/12/2022: San Diego, CA
Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
02/01/2022: Peoria, IL
Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.
