Data And Applied Scientist Ii Jobs

10+ years of experience with database management systems such as MySQL, PostgreSQL, or MongoDB

6 years of experience analytical skills and the ability to extract insights from large sets of data

2-4 years of experience in building ML models

4-7 years of experience with programming languages such as Python or SQL

7-9 years of experience in data visualization tool such as Tableau, PowerBI, or Looker

3 years of experience with data-related libraries such as Pandas, NumPy, or Matplotlib

Drive innovation by researching new methodologies and technologies to enhance our system's capabilities and performance.

5+years of experience in systems development, with a strong emphasis on ETL/ELT processes.

Experience with big data platforms like Hadoop, Spark, or equivalent.

Skilled in data visualization tools such as Tableau or Power BI.

Experience using version control and DevOps tools like Git, Github, Jira, or similar.

Strong leadership skills with a collaborative mindset.

Derive functional requirements from high-level business needs, understanding the question/problem and identifying the data needs and sources.

Other job duties as assigned.

Seven years of experience in Data Science or Business Analytics are required.

Expert-level knowledge of SQL is required.

Experience building and deploying predictive models with demonstrably large or complex datasets to support business strategy is required.

Demonstrable experience applying mathematics, statistics, and machine learning techniques is required.

Demonstrated scientific writing skills and strong verbal communication skills.

Synthesis, purification and characterization of ADCs on mg to gram scale under minimal supervision.

Optimization and validation of conjugation protocols and formulation buffers.

Optimization of automated techniques for ADC synthesis and purification.

Demonstrated ability to independently design, execute and interpret critical experiments to answer scientific questions.

Demonstrated ability to learn, understand and master new experimental techniques.

Master’s degree in health care, management, mathematics, engineering, informatics, or a related field

Effective communication skills including written, oral, listening and interpersonal.

1 year of enterprise experience as a data scientist, informaticist, statistician, senior analyst or related role

100% paid medical premiums for our full-time employees

The longer you stay, the more vacation you’ll accrue!

Longevity Pay (Monthly payments after two years of service)

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation:

(accommodation requests only; other inquiries won't receive a response).

Please review the following job description:

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Experience with organic structural analysis and its interpretation in petrological and mineralogical context.

Experience in UV flight instrument operation and development.

This position requires the following qualifications:

The following qualifications are preferred:

For further benefits information click Benefits and Perks

PhD in geomicrobiology, or a related field.

Ability to manage multiple priorities and comply with deadlines.

Maintains their certifications as needed for assigned job tasks.

Demonstrates strong analytical skills and logical thought processes.

Assists in troubleshooting multi-discipline problems.

Applies scientific/engineering principles applicable to assigned tasks and problem-solving.

Independently design, execute and interpret critical experiments to answer scientific questions.

2+ years of data scientist experience

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Experience applying theoretical models in an applied environment

Experience in Python, Perl, or another scripting language

Experience in a ML or data scientist role with a large technology company

Bachelor's degree in Engineering and 2 years of relevant experience, or

Master’s degree in Engineering and 1 year of relevant experience

Engineer in Training (EIT) certification

Click here for benefits information: HNTB Total Rewards

Completes assigned work within the schedule and number of hours provided.

Responsible for preparation and/or modification for select portions of project reports, plans, designs, and calculations.

Engage in stakeholder meetings to identify business objectives and scope solution requirements.

Use, maintain, share and collaborate through Truist internal code repositories to foster continual learning and cross-pollination of skillsets.

Working knowledge of calculus/differential equations, including use of stochastic processes.

Data Analysis techniques, EDA, Data Visualization to effectively communicate to stakeholders, clarify requirements and make effective suggestions.

Natural Language Processing techniques and other related Deep Learning knowledge.

Utilizing experience with: SQL, SAS, Hadoop, Hive, NoSQL, Spark, Python, and R.

Health coverage for medical, dental, vision

401(K) saving plan with company match AND Pension

PTO for community volunteer programs

Employee discounts (membership, insurance, travel, entertainment, services and more!)

AAA is an Equal Opportunity Employer

Work with multiple stakeholders, manage product analytics projects, and operate within a community of analysts, sharing findings, wins and methodologies

2+ years of experience in data mining, statistical modelling and business analysis

Bachelor’s or Master's in an analytical field (STEM); or equivalent related professional experience

Advanced degrees/qualifications in the above are a plus but not essential

Experience with data sciences tools such as SQL, R, Python, and Excel experience is required

Experience with digital analytics tools i.e. Adobe Analytics, and experience with BI tools i.e. Tableau, Power BI

Strong programming skills in R and Python. Demonstrated knowledge of data visualization, exploratory analysis and predictive modeling.

Experience in the application of bioinformatics methods and evidence to drug development

Contribute to departmental initiatives (e.g., infrastructure/ process-related or scientific activities)

Good understanding of clinical study design principles and familiarity working with clinical data in a clinical trial setting is a must

Ability to develop and deliver clear and concise presentations for both internal and external meetings in key decision-making situations.

Generate, manage, evaluate, and maintain critical data in a highly organized manner, providing statistical analysis and troubleshooting where appropriate.

PhD in Molecular Biology or another related discipline with 2-5 years of relevant experience

Extensive experience using molecular biology techniques, such as PCR, dPCR and TIDE

Proficiency in cell & tissue culture (cell lines; experience with hepatocyte culture is a plus), transfection,

Experience with protein extraction, and western blots

Knowledge of CRISPR/Cas9 Gene Editing

2+ years of data scientist experience

3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience

3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience

Experience applying theoretical models in an applied environment

3+ years of experience in a stakeholder or customer-facing analyst or scientist role, and experience with business partnership

Experience in Python, Perl, or another scripting language

Experience, Education and Specialized Knowledge and Skills

Maintain knowledge of state-of-the-art principles and theories and apply this knowledge to the design, execution, and interpretation of experiments.

Expert in ion channel physiology who possesses knowledge and familiarity with high throughput ion channel screening platforms.

Experience using a range of data informatics tools.

Experience interacting with external vendors and with outsourced R&D models.

Possess a strong attention to detail, be highly organized, and have exceptional interpersonal, organizational and communication skills.

A leadership team that prioritizes your health and well-being; offering a remote work environment and flexible work hybrid situations

A clearly defined career framework to help you successfully manage your career

Competitive 401K and employee benefits

Leadership development and virtual training opportunities

Free financial counseling, health coaching and employee assistance program

Effective productivity/technology tools and training

A leader. You have years of experience mentoring junior researchers and developing a concept to a product.

Directly see the results of your applied research improving and powering the experience of eBay’s core search platform across the globe.

Results oriented. Research is great but at the end of the day you want to see your creation live and breathe.

Conceptualize, code, deploy, and iterate on designs from prototypes all the way through to production systems.

Analyze petabytes of real-world behavioral data to understand patterns and trends.

Transform data insights into actionable reports, targeting algorithms, and model features.