leveraging solutions that include matching techniques, machine learning, and graph theory to resolve entities across disparate data sets and discover relationships among those entities. What You'll Do: This includes an estimate of where time will be spent.
This is subject to change: 25% - Drive informed and timely decision-making that improves and optimizes the way our products are created, executed, and adopted. 20% - Collaborate with product, marketing, and engineering to understand the needs of the company by utilizing data to drive product decisions and strategy. 15% - Create automated anomaly detection systems and quality assurance metrics to track performance constantly. 15% - Communicate
best practices in quantitative analysis and develop cross-functional partnerships. 15% - Perform Ad-hoc analysis and present results. 10% - Keep up to date with the latest technology trends to apply them to our business challenges.
Requirements: Advanced degree in Machine Learning, Computer Science, Engineering, Statistics, Applied Math, or other quantitative fields. Minimum of 5+ years of any internet or large B2C working experience in analytics, data mining, data visualization, and/or predictive modeling. Proficiency in working with SQL and Python Excellent communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional
environment Proven ability to lead and execute projects from start to finish with minimal guidance in a fast-paced environment.
Ability to create visuals, dashboards, and reports to communicate insights effectively. Named Best Company for 2023 by Comparably in the areas of Perks & Benefits, Happiness, Compensation, and Work-Life Balance. Spokeo offers a bonus program, equity plans, and 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. Additional benefits include; 100% medical/dental/vision coverage for all employees and unlimited PTO. Spokeo extends written offers to candidates who successfully complete their selection process.
Spokeo’s offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc. Privacy Notice for Candidates: /recruiting-policy Spokeo is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, interaction, national origin, interactionual orientation, gender identity, disability, or protected veteran status.
Spokeo fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world. Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully-executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution. #LI-DNI
company's Center for Data Science and Artificial Intelligence (CDSAi) corporate analytics group, applies analytical skills to work on all aspects of the life insurance value chain, ranging from risk models, fraud detection, customer behavior study, process triaging, and marketing prediction to a variety of other analytics solutions.
Applies technical data, analytical, and programming skills to ingest, wrangle, and explore external and internal data to create data assets and reports. Functions as the data expert and prepares data for modeling, supports production deployment of models, and builds world-class machine-learning models to solve tangible business problems. Contributes to data
analysis and modeling projects from project and sample design, business review meetings with internal and external clients to determine requirements and deliverables, and the receipt and processing of data.
Performs analyses and modeling for final reports and presentations, communicates results, implements support, and demonstrates to internal and external stakeholders how analytics can be implemented to maximize business benefits. Provides technical support, including strategic consulting, needs backssments, project scoping, and preparing and presenting analytical proposals. Leverages advanced statistical and machine-learning techniques to create high-performing predictive models and
creative analyses to address business objectives and client needs.
Tests new statistical and machine-learning analysis methods, software, and data sources for continual improvement of quantitative solutions. Implements analytical models into production by collaborating with internal Technology and Operation teams. Education & Experience Requirements: Master's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and three (3) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain. Or, in the alternative: Bachelor's degree in Statistics, Analytics, Computer Science, Mathematics or Machine-Learning (willing to accept foreign education equivalent) and five (5) years of experience performing data analytics and statistical modeling using complex large-sized datasets in the consumer finance domain.
Required Skills: Experience must include 2 years of experience in each of the following skills: (1) Programming applications using Python, R, SQL, and SAS to extract and transform data from multiple data sources; (2) Performing data wrangling and matching leveraging Extract Load Transfer (ETL) techniques; (3) Performing parallel computing, distributed computing, and distributed data processing leveraging large-scale data on Hadoop and Spark system; (4) Performing feature engineering and selection (transformation, binning, and high-level categorical reduction); model optimization (grid search and Bayesian optimization); and, model testing and validation (cross validation and bootstrapping); and, (5) Developing and deploying supervised and unsupervised machine-learning models leveraging Random Forest, XGBoost, and GBM tree models, deep learning, and k-means; and performing regularization leveraging Ridge, Lasso, and elastic nets.
Eligible for Employee Referral Program Overtime eligible: Exempt Discretionary bonus eligible: No Sales bonus eligible: No Click here to learn more about our benefits. Starting salary is dependent upon several factors including previous work experience, specific industry experience, and/or skills required. PDN-99a40489-458d-406c-9bf0-cd8b39d9c9bb
exciting products for customers and collaborating with cross-functional teams. The person will be responsible for taking products and processes from concept feasibility through to implementation into production for com mercialization. In this position, the person will work closely with the R&D team(s) in demonstrating reagent feasibility, assay development, generating product specifications, characterizing the product, developing manufacturing and QC processes, and transferring these stable processes to Manufacturing.
The ideal candidate will have extensive experience with analytical technologies associated with molecular biology with an emphasis on commercial product development from
concept to manufacturing. The person will characterize reagents to meet manufacturing requirements for critical reagent consumables. Candidate should have strong hands-on laboratory experience, including molecular biology techniques, sample preparation, analytical assay development and preferably sequencing instrument operation.
Primary Responsibilities: Hands-on testing and integration of assay and process workflows onto sequencing platforms. Plan, conduct, analyze, interpret, and report recommendations based on tested experimental results. Support product commercialization from design transfer to manufacturing. backss information to ensure data sufficiency and completeness of results.
Write batch records, experimental protocols, summaries, and reports.
Source and qualify external vendors, develop specifications, set up supply chain and manufacturing process. Work in ISO 9001 and 13485 regulated environments. Position Requirements: Masters or Ph. D. in Molecular Biology, Biochemistry, or related relevant industry experience in Biochemistry or Molecular Biology, with emphasis on product development and testing. Prior experience with q PCR assay development, RNA sequencing is strongly desired. Deep understanding of biochemistry, next-generation sequencing, development of analytical and functional assays, DOE, sequencing data analysis. Hand-on scientist with experience in QC assay development and validation.
Skilled at writing batch records, validation reports, with experience in quality management system, risk analysis and mitigation.
they do. Role & Responsibilities As the R&D Chemist you will assist in formulating new products as requested by Marketing, assist in re-formulating current product lines for improvement, and assist in solving technical scale-up and manufacturing problems by ensuring the availability of quality and value engineered products which satisfy customer's requirements and increase sales and profitability of the corporation.
Formulation of existing and new projects for the general industrial coatings business line. This will be the lead chemist and own all product development, quality, and manufacturing aspects as it relates to the formulas. Test and evaluate products. Write SDS and keep low or
no VOC Compliance. Update and improve existing products, materials and test methods. Provide technical support to Production, Sales, and Marketing in support of product scale-up, quality control, application testing, and other cross-functional activities.
Digitally maintain detailed technical records of lab work. Critical thinking skills Self-Motivated and Task Oriented. Knows how to monitor workload. Ability to multi-task and wear many hats daily, enjoy a variety in the work. Strong Interpersonal Skills Someone who enjoys a small company culture and works well with others. (75 people in company) Proficient Microsoft Office & Outlook Strong Organizational Skills & Project Management Skills
Creative thinker that may see new application uses, market potential.
Qualifications And Education Requirements BS in Chemistry or Related Field2-3 years of developing formulations from inception through scale up and commercialization Strong understanding of industrial formulations specific to coatings, adhesives and sealants#LI-SL3At Shark Ninja, Diversity, Equity, and Inclusion are vital to our global success. Valuing each unique voice and blending all of our diverse skills strengthens Shark Ninja's innovation every day. We support ALL associates in bringing their authentic selves to work, making an impact, and having the opportunity for career acceleration.
With help from our leadership, associates, and our community, we aim to have equity be a key component of the Shark Ninja DNA. YOUR ROLE in leading our SUCCESS DRIVERS & representing our UNIQUE MINDSET Lead us to be " RARELY SATISFIED" Make things better each day; " PROGRESS OVER PERFECTION" Use your knowledge of our consumer, understand that " DETAILS MAKE THE DIFFERENCE" Deliver something great; " WINNING IS A TEAM SPORT" Be clear and honest, " COMMUNICATING FOR IMPACT" Explore Shark Ninja on our social channels: Instagram Linked In Shark Ninja's Candidate Privacy Notice can be found here: /candidate-privacy-notice/ We do not discriminate on the basis of race, religion, color, national origin, interaction, gender, gender expression, interactionual orientation, age, marital status, veteran status, disability, or any other class protected by legislation, and local law.
Shark Ninja will consider reasonable accommodations consistent with legislation, and local law. If you require a reasonable accommodation to participate in the job application or interview process, please contact Shark Ninja People & Culture at xyz X@ PDN-9995f10b-e87f-47c2-81d7-b03ee2a03c81
without limitation, the following: Responsibilities: Scope, design and execute new product development, product support projects as well as product performance improvement projects; Initiate and Develop cost saving projects including testing procedures, storage and shipping requirements; Design, perform or supervise laboratory testing and analysis.
Summarize data per industry standards and internally developed test methods; Evaluate and communicate the results of lab experiments and tests for presentations and written reports; Enter new raw materials and formulation data into the laboratory database systems; Identify new processing procedures and equipment and conduct plant trials
to qualify new technology and products; Collaborate with the plant engineers/quality control managers to develop manufacturing capability and procedures for new technology/products; Promote and champion laboratory safety, housekeeping, and preventive maintenance; Evaluate lab equipment and vendors for purchasing lab equipment.
Maintain and calibrate laboratory equipment as needed. Requirements: Master or Ph D in organic chemistry and/or polymer science-engineering, 5-7 years of R&D experience in field of polyurethane foams, sealant, coatings, paints or related products. A passion for chemistry, science, problem solving, and creativity; Excellent interpersonal, written, and verbal
communication skills; Ability to operate mid-size mixing equipment and various testing equipment; Ability to work with many types of chemicals, both hazardous and non-hazardous; A strong self-motivated work ethic and a keen interest in learning from others.
About DAPDAP is a market leading manufacturer, innovator and marketer of home repair and construction products including caulks, sealants, spray foam insulation, adhesives, and patch and repair products. DAP is part of RPM International Inc. a $6.1 billion, multinational company with subsidiaries that are world leaders in specialty coatings, sealants, building materials and related services. You will find DAP products in the hands of professional painters, remodelers, builders, and do-it-yourselfers, and in 60,000 retail outlets, ranging from home centers and mass merchandisers to your local hardware, pro contractor channels and paint stores.
DAP's eight manufacturing and distribution facilities in the United States of America and Canada service North America and the world. At DAP, we hire the best people and give them a collaborative and rewarding work environment that empowers them to succeed! We support associates in continuous professional growth and collaborate on the steps it takes to get to the next level in their careers.
Our associates enjoy a comprehensive benefits package including 401(k) with company match, pension, paid parental leave, competitive health insurance rates, employee stock purchase plan, tuition reimbursement, free wellness programs and more! Learn more about DAP's history, culture and benefits at /careers/DAP - On the job since 1865.
