Sr. Data Scientist I

United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Financial Services, ComplianceIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Applied Math, Statistics, or a scientific field, with 3-5 years of experience in data and analytics. Required skills include proficiency in Python, SQL, and NoSQL databases, experience with data science and machine/deep learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, pandas), a strong understanding of data science and statistics principles (e.g., regression, time series, exploratory data analysis), knowledge of key programming concepts, solid statistics knowledge (e.g., hypothesis testing, ANOVA), familiarity with NLP transfer learning and transformer models (e.g., gloVe, fastText, Bert, HuggingFace), experience with NLP toolkits (e.g., NLTK, spaCy), knowledge of microservices architecture and continuous delivery concepts, and familiarity with training and evaluating transformer-based models.

Responsibilities

The Sr. Data Scientist will analyze unstructured communications data to solve customer problems by developing statistical methods and machine learning algorithms. Responsibilities include collecting and interpreting datasets, developing and optimizing machine learning models, performing data annotation and quality review, conducting exploratory and fail state analysis, reporting on methodology and insights, and drafting model governance reports. The role also involves guiding clients and junior team members on model development and fine-tuning, collaborating with Product Managers to translate requirements into technical tasks, and engaging in continuous self-led professional development.

Skills

Data Analysis

Machine Learning

Statistical Methods

Data Interpretation

Research

Mentoring

Smarsh

Archiving and compliance solutions provider

About Smarsh

Smarsh provides archiving and compliance solutions specifically designed for financial services, government agencies, and other regulated industries. Their main product is a cloud-based archive that allows organizations to securely store, search, and manage their communications data, including emails, text messages, and social media interactions. This system helps businesses meet complex security, data privacy, and regulatory requirements. Smarsh differentiates itself from competitors by offering a scalable Software-as-a-Service (SaaS) model that caters to both large enterprises and smaller organizations, ensuring that clients can adapt to evolving regulations. Their goal is to help organizations efficiently manage their communication data, identify risks, and maintain compliance, particularly through tools like Connected Capture for Microsoft Teams, which supports remote workforces.

Portland, OregonHeadquarters

2001Year Founded

$42.4MTotal Funding

BUYOUTCompany Stage

Enterprise Software, Cybersecurity, Financial ServicesIndustries

1,001-5,000Employees