We are looking for a Data Scientist Engineer to ingest and analyze large amounts of raw information that will help improve our company and help with decision-making. We will rely on you to build data products to extract valuable business insights. In this role, you will be responsible for the entire data analysis lifecycle, from transforming raw data to creating insightful visualizations and reports. You will wrangle, cleanse, and transform large datasets to prepare them for AI consumption. You will also develop and implement data pipelines to automate data ingestion, processing, and delivery for AI models. Integrate with data platforms and tools to ensure efficient and scalable data processing for AI initiatives. You will also play a key role in developing and maintaining the data infrastructure that supports our analytics efforts. In this role, you should be highly analytical and passionate about analysis, math, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. Experience with AI, machine learning, and research is a big plus. Your goal will help our company analyze trends to make better decisions. About The Team: A Telemetry/Data/AI team that works closely with product owners and development teams. As part of this team, you will build or use tools to collect and analyze data that will help understand the business and assist with decision making.
Responsibilities:
- Design, develop, and implement data pipelines to collect, clean, and transform data from various sources
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Assist with data labeling and tagging
- Analyze large amounts of information to discover trends and patterns
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
- Perform feature engineering for AI applications
Required Qualifications:
- BS/ MS /PhD in Computer Science, Engineering, or relevant field; graduate degree in Data Science or other quantitative field is preferred
- 5 + years of experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine learning and operations research
- Knowledge of SQL and Python; Python ML frameworks familiarity is a plus; familiarity with Java is a big plus
- Experience using ELK Stack (Elasticsearch, Logstash, Kibana)
- Experience using business intelligence tools (e.g., Tableau) and data frameworks (e.g., Hadoop)
- Experience with AI/ML-based solutions for data analysis is a big plus
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Self-motivated and able to handle tasks with minimal supervision.
- Superb analytical and problem-solving skills.
- Excellent collaboration and communication (Verbal and written) skills.
- An innovative mindset with a drive to improve upon existing systems.
- Outstanding organizational and time management skills.
If you meet the required qualifications and are interested in this role, please apply today.
The Solomon Page Distinction
Our teams, comprised of subject matter experts, develop an interest in your preferences and goals and we act as an advisor for your career advancement. Solomon Page has an extensive network of established clients which allows us to present opportunities that are well-suited to your respective goals and needs – this specialized approach sets us apart in the industries we serve.
About Solomon Page
Founded in 1990, Solomon Page is a specialty niche provider of staffing and executive search solutions across a wide array of functions and industries. The success of Solomon Page reflects an organic growth strategy supported by a highly entrepreneurial culture. Acting as a strategic partner to our clients and candidates, we focus on providing customized solutions and building long-term relationships based on trust, respect, and the consistent delivery of excellent results. For more information and additional opportunities, visit: solomonpage.com and connect with us on Facebook, and LinkedIn.
Opportunity Awaits.
