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FocusKPI Inc.
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Data Scientist
FocusKPI Inc. Boston, MA
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$114k-140k (estimate)
Full Time 2 Days Ago
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FocusKPI Inc. is Hiring a Data Scientist Near Boston, MA

FocusKPI is looking for a Data Scientist to work for our companys internal projects.
Duration: Permanent/Full-time position
Work Location : Remote in the U.S.
Pay range: $6000 - $8000/mo.
Responsibilities:
  • Use machine learning and AI techniques (e.g., predictive models, uplift models, personalization models, and NLP tools) to solve complex problems and drive business decisions
  • Build data pipeline for model development including gathering and building datasets, cleaning messy data, identifying assumptions, designing feedback loop on data needs
  • Work in an agile, collaborative environment, partnering with other data scientists, engineers, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors
  • Assist Senior Strategy Analysts and Senior Data Scientists in project management of strategic initiatives
  • Implement and validate predictive models as well as create and maintain statistical models with a focus on big data
  • Write comprehensive and accurate model development documentation; create presentations and financial models to communicate new strategic ideas for internal departments
  • Explain complex modeling approaches in simple terms and develop compelling narratives that connect modeling results with business problems
  • Solve analytical problems, and effectively communicate methodologies and results both in writing and verbal
  • Build business intelligence dashboards for internal leaders and stakeholders to track key performance indicators
  • Partner with cross-functional team to streamline data science solutions
Qualifications:
  • PhD or masters degree in Computer Science, Statistics, Data Science
  • Minimum of 4-5 years of experience in data science, building hands-on ML models, measurement, marketing strategy, data analytics
  • Strong proficiency in data processing using Python and libraries such as Pandas, NumPy, and Scikit-learn
  • Excellent Modeling skills
  • Proficient in SQL and relational databases
  • Experience working with large datasets
  • Experience developing natural language processing ( NLP ) models
  • Experience with MLOps (e.g., airflow)
  • In-depth understanding of Machine Learning and AI algorithms and model evaluation
  • Proficiency with data warehouses, cloud computing, data storage, and ETLs.
  • Familiarity with building data visualization dashboards
  • Strong can-do attitude and willingness to take ownership
  • Strong problem solving skills to address complex business requests through a blend of technical expertise, logical and creative thinking
  • Biz acumen, communication, and storytelling skills
  • A learning and growth mindset
  • Willingness and ability to quickly learn new technology and apply it to achieve business objectives

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.

NOTICE: Please be aware of fraudulent emails regarding job postings, job offers and fake checks. FocusKPI's recruiting team will strictly reach out via @focuskpi.com email domain. If you have received fraudulent emails now or in the past, please report it to .
The domain @focuskpijobs.com is fraudulent and not related to FocusKPI. Please do not not reply or communicate to anyone with @focuskpijobs.com.

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Job Summary

JOB TYPE

Full Time

SALARY

$114k-140k (estimate)

POST DATE

04/27/2024

EXPIRATION DATE

05/10/2024

WEBSITE

focuskpi.com

HEADQUARTERS

Santa Clara, CA

SIZE

50 - 100

INDUSTRY

IT Outsourcing & Consulting

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FocusKPI Inc.
Remote | Full Time
$103k-140k (estimate)
2 Months Ago

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.

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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.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.

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A data scientist develops software to structure the raw data.

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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.

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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.

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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.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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