Data Scientist 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 note that this role is specifically located in the San Francisco Bay Area and requires 100% onsite availability.
If you are not local, we provide weekly travel or relocation.
*** Role OverviewAs 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 researching and staying 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 linear regression analysis, anomaly detection, time series and forecasting, probabilistic models, 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.
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 health, dental, vision, life insurance, and disability plans.
You will be eligible for benefits on the first day of employment.
In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment.
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.
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