Taking People, Process and Technology to the Next Level
Senior Data Scientist
Location
California
Posted
64 days ago
Salary
0
Seniority
Senior
Job Description
Senior Data Scientist
Apogee Global RMS
• Build and optimize machine learning models and statistical algorithms. • Analyze large, structured and unstructured datasets to identify trends and insights. • Develop dashboards, visualizations, and automated reporting tools. • Partner with engineering, product, and business teams to integrate data‑driven insights into strategy. • Validate model performance and ensure data quality, accuracy, and reliability. • Communicate findings clearly to technical and non‑technical stakeholders. • Support ongoing AI/ML initiatives across the organization.
Job Requirements
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
- 3+ years of experience in data science, machine learning, or advanced analytics.
- Strong proficiency in Python, R, SQL, and ML libraries (Scikit‑learn, TensorFlow, PyTorch).
- Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
- Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
- Ability to translate complex data into clear, actionable insights.
- Strong communication and problem‑solving skills.
- Preferred Experience:**
- Experience working in technology, SaaS, or data‑driven environments.
- Familiarity with cloud platforms (AWS, Azure, GCP).
- Exposure to NLP, LLMs, or generative AI.
- Experience with MLOps tools and model deployment workflows.
- Background working with sensitive or regulated data (nice to have).
Benefits
- Why Choose Apogee: **
- Opportunity to work on high‑impact, data‑driven projects.
- Collaborative, innovative team environment.
- Flexible remote work options.
- Professional growth in AI/ML and advanced analytics.
- Competitive compensation based on experience.
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Senior Clinical Data Manager
eClinical SolutionsWe bring people and data together to support tomorrow’s breakthroughs
eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. eClinical Solutions is committed to driving innovation in clinical trials through a better approach to data management and data analytics. We use the eClinical Solutions technology platform, elluminate, throughout the data management process to accelerate timelines for our clients and automate manual processes. We believe in a more agile approach to data management using our core technology elluminate - enabling our life sciences clients to proactively manage their clinical programs and make decisions. You will make an impact: As a Senior Clinical Data Manager (Sr. CDM) you will independently act as a study lead and are responsible for the oversight, maintenance, and management of clinical trial database(s) for assigned projects through the full data management process life cycle. You are viewed as the CDM expert and will serve as the primary liaison between eClinical personnel and Sponsor personnel. You will create and oversee the database design specifications, validation, maintenance/data cleaning, and closeout activities of project-specific clinical trial databases. As a Senior Clinical Data Manager, you may delegate tasks/responsibilities to multiple team members in multiple projects. You will provide ongoing project oversight to ensure proper planning and timely completion of high-quality Sponsor deliverables. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: - Primary representative for eClinical Solutions and sponsor data management interaction - Responsible for monitoring and ensuring adherence to study timelines and deliverables - Accountable for the overall quality of data management activities and deliverables at the study or program level - Ensure efficiency and consistency for data management tasks across programs - Communicate with global study teams - Participate in client study kickoff and closeout/lessons learned meetings - Create materials for and present at Investigator Meetings - Develop content and deliver Sponsor CRA and/or site training - Delegate tasks, support and provide guidance to study data management team - Oversee and/or develop data management documents including DMPs, eCRF Completion Guidelines, CRFs, and Help Text - Oversee and/or Develop Internal System Testing (IST) plan for database/user roles/edit check specifications - Participate in Internal System Testing (IST) on the database/user roles/edit check specifications - Assist with preparation for implementation of a centralized data management platform for strategic data cleaning and reporting - Utilization of centralized data management platform including graphical patient profiles and operational analytics - Compile the sponsor UAT package - Oversee and/or perform data review as documented in the Data Management Plan and Data Validation Specifications - Oversee and/or perform manual review/QC checks as listed in the Data Validation Specifications exception listings and reporting tools - Oversee and/or perform data review for overall consistency and accuracy - Oversee and/or perform vendor data reconciliation (e.g., IVRS, laboratory data) with the clinical database - Oversee and/or perform query processing/resolution - Provide ongoing data management reports and metrics - Oversee and/or develop specifications and collaborate with programming for programming and QC of manual listings, external data reconciliation, metrics and custom reports as needed throughout the study - Define and develop specifications for database, programming and/or edit check changes as needed throughout the study - Track data management issues and ensure follow up to resolution - Identify data issues and/or data trends, communicate to the Clinical Data Management team and Sponsor, assist with development and implementation of action plan - Maintain data management study documentation - Perform steps pertaining to database freeze/lock and coordinate all related activities - Ongoing evaluation of process and participate in process improvement - Assist in the creation and review of SOPs, WIs, and training materials - Mentor junior level staff and peers on all associated tasks within a study - Participate in proposal defenses - Perform other duties as requested by management Take the first step towards your dream career. 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Sr/Staff Data Scientist (Remote - US)
BNSF RailwayFor more than 170 years, BNSF Railway has worked to connect its users with the global marketplace, playing “a vital role in building and sustaining this natio
be part of a team that values safety, inclusion, and excellence we are one of the largest U.S. railroads transporting the nation’s freight across 28 western states and 3 Canadian provinces. as a member of our team, you will play a role in supporting the movement of essential products and materials that help feed, clothe, supply, and power communities throughout America and the world. bnsf | tech: innovating and transforming the future of freight rail bnsf | tech is the technology division making BNSF the preeminent freight and mobility company in north america. are you ready to drive change? if you are passionate about making a difference and eager to advance your career in a dynamic and supportive environment, we want you on our team! join us in reshaping the future of freight rail and discover a fulfilling career where your contributions matter. we are committed to a culture where all employees are included, belong, and have equal opportunity to achieve their full potential. 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Lead the development and deployment of advanced machine learning models to forecast outcomes and optimize workflows. Engage closely with stakeholders to grasp their requirements and deliver actionable insights that drive strategic decision-making. Design and present compelling visualizations and reports to effectively communicate analytical findings. Oversee the maintenance and enhancement of data pipelines to uphold data quality and precision. Keep abreast of emerging trends and breakthroughs in data science and machine learning fields. Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging languages like R, Python, or other relevant tools for analysis and modeling. Build, test, and validate statistical, and machine learning models and analyses using Python, R, or other appropriate language as part of overall solution development. 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Please review our FAQ for more information and awareness. All positions require pre-employment background verification. BNSF Railway is an Equal Opportunity Employer, all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.
Associate Applied Data Scientist
JerryJerry helps you save money on car expenses. Named a LinkedIn 2021 Top Startup.
• Participate in the full modeling lifecycle, from statistical analysis and experimentation to building, validating, and iterating on machine learning models that address critical business challenges • Own the data foundation by preparing, cleaning and transforming raw, complex data into high-quality features for modeling • Investigate data discrepancies (tracking bugs, ETL errors, definitional issues) and design automated frameworks to ensure data accuracy • Act as a strategic liaison, collaborating with data Engineering and product teams to drive the data strategy




