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Data Scientist
Fractal Analytics California, CA
$120k-147k (estimate)
Full Time 6 Months Ago
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Fractal Analytics is Hiring a Data Scientist Near California, CA

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years. Please visit Fractal | Intelligence for Imagination for more information about Fractal. **Please Note: This role is specifically located in the North Bay Area of San Francisco. You'll need to be onsite or have the ability to relocate.** Role Overview As a Data Scientist specializing in Machine Learning at Fractal Analytics, you will play a pivotal role in shaping and driving our AI strategies. Your primary focus will be developing and implementing Machine Learning and statistical models that transform and elevate our client's business operations. Your responsibilities include: Collaborating with internal teams to understand complex business challenges and identify opportunities for AI-driven solutions. Designing, developing, evaluating, and deploying Machine Learning algorithms that turn data into actionable insights. Continuously research and stay abreast of the latest advancements in machine learning and AI to apply cutting-edge techniques in our solutions. Proactively working with large datasets, ensuring the integrity and effectiveness of data used in Machine Learning models. Engaging with clients to translate business needs into technical requirements and Machine Learning solutions. Leading initiatives to enhance our data analytics capabilities with a focus on predictive and prescriptive analytics through Machine Learning. Qualifications: Bachelor’s or master’s degree in computer science, Data Science, Statistics, Mathematics, or a related field with a strong emphasis on Machine Learning or Artificial Intelligence. Proficiency in Machine Learning algorithms and concepts such as supervised and unsupervised learning, neural networks, deep learning, etc. Experience with data modeling and evaluation strategies. Strong programming skills in Python, especially libraries used in data science like TensorFlow, PyTorch, Keras, Scikit-learn, etc. Knowledge of data preprocessing, cleaning, and analysis techniques. Familiarity with big data technologies such as Hadoop, Spark, or similar platforms. At least 3-5 years of experience in a Machine Learning or data science role, with a proven track record of developing and deploying models that have driven business impact. Experience working with large and complex datasets. Prior exposure to cloud computing services like AWS, Azure, or Google Cloud Platform is advantageous. Pay: The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: 115,000 to 185,000. In addition, you may be eligible for a discretionary bonus for the current performance period. Benefits: As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take the time needed for either sick time or vacation. Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! At Fractal, towards our goal of “powering every human decision in the enterprise”, our partnerships and alliances help in creating and delivering a compelling suite of solutions to unlock value. We partner with companies from around the globe, leaders in their respective fields. With Fractal’s expertise in artificial intelligence, design, engineering, and digital transformation, combined with the data, technology, and software platforms from our partners, we create cutting-edge solutions to problems in the business world. We understand how critical and timely decision triggers, and information, empower our clients to create, unlock, deliver, and realize value. Together with our partners, our goal is to serve each client in their end-to-end data-to-decision journey.

Job Summary

JOB TYPE

Full Time

SALARY

$120k-147k (estimate)

POST DATE

11/25/2023

EXPIRATION DATE

07/23/2024

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The job skills required for Data Scientist include Machine Learning, Insight, Computer Science, Written Communication, Flexibility, 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.

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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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