63 Principal Data Scientist Jobs in Boston, MA
Syrinx is Hiring a Principal Data Scientist Near Boston, MA
- Bachelor’s degree or higher in a quantitative field such as Decision Science, Data Science, Mathematics, Statistics, Computer Science, Operations Research, Engineering, Finance, or Economics.
- 5 years of experience in Financial Services, specifically within cash management, payments, small business, Commercial, or Consumer lending.
- 5 years of experience solving business problems leveraging data and analytics.
- 5 years of experience using SQL, R, Python, MatLab, or similar data-mining and analytics applications.
- Skilled in Python, experience with Pandas, Scikit-learn. Experience in machine learning techniques, such as Linear and Logistic Regression, Bayesian models, Decision Trees, Random Forests, Neural Networks, Clustering, Time Series Analysis, Forecasting, Survival / Duration Analysis, or similar. Experience with agile development practices and Git version control.
- Experience with one or more of the DNN frameworks like TensorFlow, PyTorch, etc.,
- Experience with Spark, SQL, Graph stores, or NoSQL stores.
- Domain expertise in financial services, banking, real-time gross settlement and payment related systems Capable of completing descriptive, diagnostic, exploratory, predictive, and prescriptive analytical exercises.
- Proven ability to give meaning, insight, and purpose to information to drive business decisions.
- Capable of managing change through typical strategy development lifecycle stages such as Ideation, Solutioning, Execution, and Go-To Market. Proficient in Excel, Word, and PowerPoint. Excellent communication and presentation skills, problem-solving, time-management, collaboration, and interpersonal skills.
- Proven ability to simply explain complex information to both technical and non-technical audiences.
- Ability to work autonomously as well as in a team setting. Aptitude and willingness to roll-up the sleeves and get involved in the details. Highly curious with the desire to go deep beneath the surface to solve problems.
- Must have good business judgment with demonstrated ability to think creatively and strategically.
- Data science certification or AWS machine learning certification is a plus
- Other Considerations Ability to work in an office environment and to travel to all District offices as needed.
- Ability to perform office duties such as using a computer keyboard. Work involves sitting most of the time but may involve going to other offices and meeting rooms.
- Ability to work in demanding situations and handle multiple priorities Minor lifting and carrying (less than 5 pounds).
This position requires a solution-oriented candidate with a combination of deep business acumen, expert knowledge of statistics and algorithm development, and an analytical mindset.
The candidate must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand. Become part of this unique opportunity to make history defining the evolution of cloud computing.
Key Responsibilities
- Understands and improves how data is sourced from different sources and ingested with the data integration solution
- Ensures that enterprise architects are addressing all data requirements in their respective projects and solutions
- Perform data manipulation, business analysis, and quantitative modeling to research and design automated solutions
- Closely collaborate with agile delivery , business integration teams & product owners to build data sets based on feature delivery
- Design test cases for systems used for a variety of analytical, transaction processing to ensure the business needs are met and analytics are correctly implemented.
- Analyze application logs, build logs, automation execution logs and defects data to build patterns and predictions using appropriate ML models Provide data analytical expertise and guidance to key stakeholders.
- Identify trends and explain anomalies using data science at scale Develop data structures and pipelines as necessary to support analytical efforts
- Work closely with business integration, performance engineering and product team to build forecast models
- Participate in development/system/database operations as needed (DevOps, sysops, and DBA work) Document parts of the current and future processing framework.
- Build real-time dashboards with help of data visualization tools AWS Quicksight, Tableau or Kibana.
- Use one or more analytical tools from a suite of mathematical/application tools to perform appropriate analysis on specified product, transaction that has multiple variables affecting potential outcomes.
- Perform ad hoc analysis as needed and assist managers of specific functions with analytical, valuation, or pricing projects.
- Collaborate with teams planning or structuring transactions to assist in credit analysis and pricing. Perform other duties as assigned
Job Summary
Full Time
IT Outsourcing & Consulting
$151k-185k (estimate)
08/24/2022
04/29/2024
syrinx.com
NEEDHAM, MA
50 - 100
1998
Private
SEAN AUSTIN
$10M - $50M
IT Outsourcing & Consulting
Related Companies
About Syrinx
Syrinx operates as a software development and information technology consulting company.
The job skills required for Principal Data Scientist include Data Science, Machine Learning, Analysis, Python, Insight, Algorithms, etc. Having related job skills and expertise will give you an advantage when applying to be a Principal Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Principal Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Principal Data Scientist positions, which can be used as a reference in future career path planning. As a Principal Data Scientist, it can be promoted into senior positions as a Data Science Manager that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Principal Data Scientist. You can explore the career advancement for a Principal Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Principal 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 Principal Data Scientist for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
Quotes from people on Principal Data Scientist job description and responsibilities
The Principal Data Scientist acts as a technical consultant to Product Managers from different departments.
04/14/2022: Lorain, OH
Identifies business trends and problems through complex big data analysis.
03/10/2022: Johnstown, PA
The Senior Data Scientist oversees the activities of the junior data scientists and provides advanced expertise on statistical and mathematical concepts for the broader Data and Analytics department.
01/20/2022: Fargo, ND
Data scientists clearly understand how to extract, understand, and analyze data.
03/10/2022: Brockton, MA
A data scientist uses data to understand and explain the phenomena around them, and help organizations make better decisions.
02/09/2022: Clearwater, FL
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 Principal Data Scientist jobs
Experience manipulating large data sets through statistical software.
03/04/2022: Medford, OR
Data scientists need to be critical thinkers, to be able to apply objective analysis of facts on a given topic or problem before formulating opinions or rendering judgments.
02/17/2022: Santa Barbara, CA
Maintain clear and coherent communication, both verbal and written, to understand data needs and report results.
04/04/2022: Davenport, IA
Collaborate with partners and stakeholders to understand people-related business problems, and gathering relevant people data to analyze.
03/08/2022: Idaho Falls, ID
Understand the business question and clarify related data aspects, such as types of data to collect and time frame.
01/30/2022: Pueblo, CO
Step 3: View the best colleges and universities for Principal Data Scientist.
Similar Jobs
Popular Articles
