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Data Scientist
Blackbird Health Seattle, WA
$119k-146k (estimate)
Full Time 1 Month Ago
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Blackbird Health is Hiring a Remote Data Scientist

At Blackbird Health, our commitment is to provide precision care with powerful outcomes for children, adolescents, and young adults struggling with social developmental and school-related challenges. We believe that our youth deserve the very best care, not only for their physical health but also their mental health. Through an integrated community-centered care approach, our skilled clinical team delivers exceptional virtual and in-person care across a wide range of specialties. If you're excited to work for a mission-driven company that values compassion, dedication, and a holistic approach to care, Blackbird Health is a great place to advance your career.

Leveraging 50 million data points across its 10-year database of patient encounters, Blackbird then applies the computational models to determine which “biotype" best fits the young person. Blackbird’s biotypes are clusters of individuals in its database with similar characteristics. The idea is that more specific diagnoses and previously successful treatment approaches achieved for others may indicate a more appropriate path for a specific patient – and thus reduce the time it takes to get them on the right mix of therapies. [Forbes article]

We are seeking an experienced data scientist with a solid background as an analyst to further explore this data to define and develop solutions that address the company’s vision and strategy. In this role, you will leverage cross-functional collaboration, processes, technology, data, and information to spearhead the creation of new products and services, as well as frameworks that enhance operational efficiency and fuel revenue growth. This position will report to Koji Kato, VP of Product & Engineering.

If you are passionate about analyzing healthcare data, enjoy working collaboratively with a technical team to meet crucial business needs, and derive satisfaction from crafting solutions and generating value through analytical insights, we encourage you to apply!

WHY WORK WITH US:

  • Comprehensive benefits package: medical and dental coverage is available on day 1 of employment
  • 401k (with a company match)
  • Employer-paid life insurance coverage
  • Paid Time Off
  • Supportive work culture
  • Blackbird Health is made up of intelligent, humble, compassionate and hardworking people. Joining the ranks means you'll have an automatic network to turn to for best practices, professional development, and opportunities to share your expertise

ESSENTIAL FUNCTIONS:

  • Collaborate closely with a team of engineers and product managers to gain a thorough understanding of our data and clinical model.
  • Extract, organize, and analyze pertinent data from multiple sources, utilizing tools like BigQuery, Colab notebooks, decision systems, and programming languages such as SQL.
  • Develop a comprehensive understanding of technology, machine learning, and big data landscape to identify relevant technologies and their applications in healthcare.
  • Create data science products that enhance the delivery of healthcare services, aligning with Blackbird’s clinical model.
  • Evaluate the impact of clinical initiatives using appropriate statistical methods to promote continuous improvement.
  • Ensure data quality by conducting compliance checks and integrity testing.
  • Adopt an agile approach to deliver results, prioritizing progress over perfection to achieve business objectives.
  • Contribute to the development of data solutions involving third-party vendors and clinical (EHR) data for a broad spectrum of stakeholders, including Blackbird Health clinicians and referring providers. 

REQUIREMENTS:

  • 8 years working as a data scientist or data analyst.
  • 5 years of work experience in data management in a big data environment.
  • 5 years experience with machine learning methods (e.g., regression, classification, clustering, ensemble methods, neural networks).
  • Proficiency in SQL, Python, and Google Cloud tools such as BigQuery.
  • A strong focus on usability, with the ability to empathize with and understand the end-user experience.
  • Proven experience in a team-oriented, collaborative work environment.
  • Exceptional problem-solving skills and a growth mindset are crucial.

KNOWLEDGE/SKILL

  • Experience in the healthcare or digital health sector, including claims and clinical data.
  • Proficiency with business intelligence tools for data visualization and dashboard creation, including Data Studio, Tableau, and Looker.

*The target range for this position is $140,000 - $160,000. Individual pay may vary from the target range and is determined by a number of factors, including experience, location, internal pay equity, and other relevant business considerations.

FOSTERING AN INCLUSIVE ENVIRONMENT:

Blackbird is committed to cultivating and preserving a culture of inclusion and belonging. We are able to grow and learn better together with a diverse team of employees. In recruiting for our team, we welcome the unique contributions that you can bring in terms of your education, opinions, culture, ethnicity, race, sex, gender identity and expression, nation of origin, age, languages spoken, veteran status, color, religion, disability, sexual orientation and beliefs. Blackbird provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type.

Job Summary

JOB TYPE

Full Time

SALARY

$119k-146k (estimate)

POST DATE

03/28/2024

EXPIRATION DATE

05/27/2024

WEBSITE

blackbirdhealth.com

HEADQUARTERS

Pittsburgh, PA

SIZE

<25

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The job skills required for Data Scientist include Data Science, Machine Learning, Insight, Problem Solving, Big Data, Commitment, etc. Having related job skills and expertise will give you an advantage when applying to be a 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 Data Scientist. Select any job title you are interested in and start to search job requirements.

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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.

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.

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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.

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.

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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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