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Roche
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Data Scientist
Roche Indianapolis, IN
$106k-130k (estimate)
Full Time | Wholesale 1 Week Ago
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Roche is Hiring a Data Scientist Near Indianapolis, IN

Roche fosters diversity, equity and inclusion, representing the communities we serve. When dealing with healthcare on a global scale, diversity is an essential ingredient to success. We believe that inclusion is key to understanding people’s varied healthcare needs. Together, we embrace individuality and share a passion for exceptional care. Join Roche, where every voice matters.

The Position

Data Scientist

We are Roche. We’re focused on innovation. That’s what we do and who we are.

We are the largest healthcare investor in research and development worldwide. Because we know that when it comes to healthcare, there are always new life-changing breakthroughs we can make just over the horizon. With our network of innovation engines, we foster an environment where modern technology can flourish, shaping the healthcare systems of the future. We choose to operate in areas where we know we can have the most impact, bringing together diverse perspectives to challenge the status quo and advance science.

The Opportunity:

You will help Roche Diagnostics continue to progress through the data maturity model using data science methods and principles to generate deeper insights from a great variety of internal and external data sources. To achieve this, you will identify needs, lead the design and implementation of data science solutions, provide advice and consulting support to our key business stakeholders and demonstrate value by executing proof-of-concept initiatives and prototyping analytical solutions to answer business questions.

As a Data Scientist, you will position data science as a key competency within the enterprise and be responsible for creating value from data assets using advanced analytics capabilities including data science, machine learning, natural language processing, and artificial intelligence methodologies to identify critical business risk and opportunities for Roche.

You have an overall understanding of the key challenges in our industry. You have experience in the areas of large language models (LLMs), data transformation, and generative AI. You are passionate about applying state-of-the-art natural language processing methods, as well as cutting edge machine learning algorithms to find solutions to complex business problems.

Whatyou’llbe working on:

  • Identify high-impact data science use cases, develop and implement innovative solutions to drive business impact and develop state-of-the-art analytical capabilities to address identified needs.

  • Evaluate, drive and implement solutions from concept to minimum viable product and final product

  • Leverage NLP & LLM approaches to solve identified use cases in an agile manner using multiple data sources and analytical tools

  • Collaborate within cross-functional teams to develop solutions, gain alignment and deliver impactful business insights; engage necessary stakeholders to enable better decision-making

  • Interpret and communicate analytics results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding.

  • Take an enterprise mindset, linking individual responsibilities with the broader organization; focus on outcomes that provide most business value

  • Partner with data science experts around the world within Roche to share best-in-class solutions and drive collaborative approaches towards data science challenges.

Who you are:

  • Bachelor's degree in Computer Science, Statistics, Bioinformatics, mathematics or equivalent field.

  • 2 years of commercial/industry experience working in a hands-on capacity as a data scientist

Preferred Qualifications:

  • Master’s or PhD degree in Computer Science, Data Science, Mathematics or equivalent preferred.

  • Experience with Natural Language Processing, Data Mining, Machine Learning, Data Visualization, Cloud Computing, and Distributed Systems. Experience with AWS environments preferred.

  • Hands-on programming experience (Python) along with a solid understanding of statistical and machine learning models. You have experience in implementing statistical learning methods or deep learning frameworks to solve problems.

  • Ability to work independently, prioritize within an interdisciplinary environment that includes (data) scientists, analysts, business stakeholders and consultants

  • Experience with Agile development methods including Scrum and Kanban preferred

  • Excellent communication and effective problem-solving skills; track record in serving a variety of diverse customers and projects

  • Willingness to guide and inspire business stakeholders, data scientists and other colleagues along the journey into the world of data science.

This position is available for remote work within the United States

Relocation benefits are not available for this position.

Who we are

At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we’ve become one of the world’s leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.

As a global leader in healthcare, Roche Diagnostics offers a broad portfolio of products, tools and services that help in the prevention, diagnosis and management of diseases like HPV, HIV, hepatitis and diabetes as well as other medical conditions, such as fertility and blood coagulation. These products and services are used by researchers, physicians, patients, hospitals and laboratories worldwide to help improve people's lives.

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual’s race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.

If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Wholesale

SALARY

$106k-130k (estimate)

POST DATE

04/27/2024

EXPIRATION DATE

04/30/2024

WEBSITE

roche.ca

HEADQUARTERS

BOULOGNE-BILLANCOURT, ILE-DE-FRANCE

SIZE

1,000 - 3,000

FOUNDED

1963

CEO

JEAN-FRANCOIS BROCHARD

REVENUE

$1B - $3B

INDUSTRY

Wholesale

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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.

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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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