So sorry, this position is no longer available.
Please go ahead and submit your application. We may have other positions that would be the perfect fit for you.
Alternatively, you may want to apply to one of the following related jobs:
The Planet Grouphttps://cdn.haleymarketing.com/templates/63515/logos/theplanetgroup-200x200.pnghttp://www.theplanetgroup.comhttp://www.theplanetgroup.comtrue
Machine Learning Data Scientist & Technical Consultant II
Posted: 05/06/20242024-05-062024-07-04Employment Type:ContractJob Category:LIMSJob Number: 617079Is job remote?: No
Job Description
Machine Learning Data Scientist & Technical Consultant II – (Contract) – Hybrid/3-Days Onsite – CA
Biopharmaceutical organization seeks a Technical Consultant for a 1-year long contract with 3 days hybrid onsite just south of San Francisco, CA. Ideal candidate will have 5+ years hands-on expertise in building machine learning models to include extensive algorithms and methodology. Additionally, strong Python is required for coding and basic libraries such as scikit-learn. Lastly a strong understanding of frameworks such as TensorFlow and Keras are required, as is expertise in visualizing and manipulating big data sets. Individual will be involved in all facets of data collection, cleansing, pre-processing, making predictions and sharing insight. This person will also create training models, testing models, fine-tuning models and more. Opportunity offers a long-term contract with possible extensions within a well-known organization.
Requirements:
A BS or MS degree in the sciences or related field.
US Citizen or Green Card Holder located local to area where work is being performed.
5+ years of hands-on Python expertise and building machine learning models; a strong understanding of algorithms and methodologies is also required.
Proficiency in Python and basic libraries for machine learning such as scikit-learn.
Expertise in deep learning frameworks such as TensorFlow and Keras.
History of working within big data set visualization and manipulation, and within a pharma environment specifically.
Working experience within a matrix organization.
Ability to be onsite within a 3-day-a-week/hybrid schedule
Willingness to travel or already be located local to San Mateo specifically.
Responsibilities:
Developing machine learning models to help achieve business objectives and metrics to track progress.
Assisting throughout the entire process to include data collection, cleansing, pre-processing, training, testing, evaluation and model interpretation, fine tuning and making predictions while also sharing insights along the way.
Analyzing various machine learning algorithms utilized for problem solving and then ranking these under probability success.
Exploring and visualizing data for further understanding, while identifying differences in data distributions influencing performance when models are deployed in real life.
Performing data mining and extraction from a variety of data sources.
Defining data pre-processing and features engineering required for a given dataset encompassing both structured and unstructured data.
Defining the data augmentation pipeline.
Analyzing large amounts of data to identify patterns, insights and solutions as needed.
Developing machine learning models that select features, create and optimize classifiers, while providing predictive capabilities throughout.
Analyzing model errors while designing strategies to overcome these.
Collaborating with data scientists and software developers in the deployment and operationalization of machine learning models.
Presenting results to data science teams and business stakeholders.
Benefits
A long-term contract with partial remote work offered for local candidates.
Likely contract extensions based on candidate work performance.
The opportunity to work for a well-known and successful client within a long-term role.
A W2 contract with the option for benefits depending on consultant requirements.
Potential paid travel expenses for non-local candidates depending on details.
The staffing industry has seen an increase in people falsely representing themselves as recruiters to gather personal information from job seekers. For your safety, do not provide sensitive data to anyone you have not spoken with thoroughly, never provide banking information during the application process and always double check the email address of the Recruiter to ensure it’s from an official Planet domain (@theplanetgroup.com or @launchcg.com) - and not a domain with an alternative extension like .net, .org or .jobs.
The Planet Group and our companies are equal opportunity employers. It is our practice not to discriminate against any employee or applicant based on any criteria, condition or basis protected by laws or regulations in the locations where we do business. All qualified applicants are encouraged to apply. We celebrate diversity and are committed to providing an environment of mutual respect. We believe that diversity, equity and inclusion enable us to better meet our mission and values while serving our clients across the globe. If you have a disability or handicap and would like us to accommodate you in any reasonable way, please inform your recruiter, or contact us, so that we can discuss the appropriate alternatives available.
Discover your next career opportunity in the vibrant job market of Foster City, California! Nestled in the heart of the San Francisco Bay Area, Foster City presents a perfect blend of scenic beauty and bustling industry. With top-notch companies, such as Visa and Gilead Sciences, calling this region home, job seekers can find a plethora of growth opportunities in various fields like technology, biotech, and finance. Explore job listings in this charming city known for its picturesque lagoons, beautiful parks like Leo J. Ryan Park, and the iconic Foster City Shell Mound. Indulge in the diverse culinary scene, catch a show at the Hillbarn Theatre, and cheer for the local sports teams like the San Francisco Giants at Oracle Park. Begin your career journey in Foster City today!
Are you sure you want to apply for this job?
Please take a moment to verify your personal information and resume are up-to-date before you apply.