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Vice President-Front Office Quantitative Research w/ BNP Paribas Securities Corp. in NY, NY. Participate in global research &amp; dvlpmnt effort on modeling of financl products. Positn reqs a Master's deg (U.S. or for equiv) in Financl Engg, Computational Fin, Operations Res, or a rel field &amp; 2 yrs of exp in job offered or in a rel financl analytics &amp; quantitative research role w/in a financl svces organizatn OR Bach deg (U.S. or for equiv) in Financl Engg, Computational Fin, Operations Res, or a rel field &amp; 4 yrs of exp in job offered or in a rel financl analytics &amp; quantitative research role w/in a financl svces organizatn. Must have 2 yrs of exp (or 4 w/ Bach) w/ the following: producing productn-ready code w/ respect to modeling, analytical, &amp; pricing tools, &amp; dvlpmnt of trading, pricing, risk, &amp; P&amp;L analytics rel to Equity Derivatives or Structuring; validatg data &amp; automatn of processes using Python or C++ or equiv lang in a financl svces environment; gathering reqs, design end to end solutns &amp; implementg new pricing, hedging, &amp; risk mgmt tools &amp; methodologies; exp w/ Equities products (optis &amp; derivatives) in terms of their valuatns as well as understanding &amp; modeling their risk factors; &amp; performing model research &amp; validation &amp; supporting trading desks on issues rel to risk, pricing, &amp; trades. Sal: $185,000- $225,000 / yr. Qualified Applicants: Apply at <a href="https://bwelcome" target="_blank">https://bwelcome</a> hr.bnpparibas/en_US/externalcareers/ JobDetails?jobId=56867&amp;source= BNP+Paribas+website

Vice President-Front Office Quantitative Research

Lead Data Scientist, IBM Corporation, Armonk, NY (Up to 40% telecommuting permitted): Foster organization-wide stakeholder engagement to understand and prioritize pain points across all issues faced by the business function. Coordinate efforts to identify opportunities for leveraging company and external data to drive understanding of issues, to surface new insights and to fuel potential solutions. Orchestrate data mining and analysis to extract patterns and understand relationships. Evaluate effectiveness of data sources, efficiency of data gathering techniques, and drive prioritization accordingly. Lead team in applying Machine Learning/AI (Artificial Intelligence) techniques to build models as it relates to business function and associated actions. Assess relevance, quality, reliability, and maintainability of the candidate models and decide on selection of the best ones for implementation and deployment. Communicate key ideas and results to stakeholders/business decision makers. Drive team efforts on visualization and AI explainability. Coordinate the work of user experience designers, software engineers, data scientists, and consultants to implement the models in the production environment, deploy associated automation, and deliver the desired outcomes. Lead development of strategy, processes, and tools to monitor data and model performance long term. Utilize Python, Tableau, SQL, Apache Spark, Apache Airflow, Kubernetes, API. Required: Master's degree or equivalent in Computer Science, Data Science, or related (employer will accept a Bachelor's degree plus five (5) years of progressive experience in lieu of a Master's degree) and one (1) year of experience as a Senior Big Data Analyst, Senior Business Analyst, or related. One (1) year of experience must include utilizing Python, Tableau, SQL, Apache Spark, Apache Airflow, Kubernetes, API. $171895 - $207900 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference H271 in the subject line.

Lead Data Scientist

IT: Two Sigma Investments, LP seeks Data Scientist in NY, NY. Incls but not limited to perform quantitative, data-driven research &amp; data analysis &amp; apply stat modeling techniques to design &amp; implement granular domain-specific indicators from data to detect &amp; analyze stat patterns in lrg unstructured datasets, rel them to co., industry &amp; macroeconomic factors. Perform exploratory data analysis &amp; research, formulate, design &amp; dvlp predictive quantitative stat models for equities &amp; other asset classes. Note: Co. "Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month. Must have Master's or equiv in Data Sci, Stats, Math, Comp Fin'c, or rel field. Position does not req specific yrs' exp but req's listed skills. Must have demonstrated knowl of querying relational dbases. Must have demonstrated knowl of big data technologies stack incl Spark &amp; SQL Must have demonstrated knowl of parallel processing algorithms, methods &amp; infrastructure. Must have demonstrated knowl of CPU &amp; GPU cloud infrastructure incl AWS &amp; dvlpg Data Definition Language scripts to query SQL dbases efficiently. Must have demonstrated knowl of data visualization tools incl Matplotlib &amp; Seaborn. Must have demonstrated knowl of data manipulations &amp; exploratory data analysis in Python. Must have demonstrated knowl of Machine Learning &amp; stat techniques in Python. Must have demonstrated knowl of using Git in production environ w/ multiple users. Must have demonstrated knowl of performing object-oriented computations in Python, incl designing &amp; implementing data analytics sys's in Python. Must have demonstrated knowl of Regression &amp; time series analysis to conduct quantitative research &amp; command line prog'g to schedule different jobs on cloud srvr. Must have demonstrated knowl of performing quantitative research using structured data &amp; data sci best practices. Must have demonstrated knowl of dvlpg &amp; deploying research pipeline under cloud computing platform. Must have demonstrated knowl of fin'l analysis &amp; modeling. Must pass co.'s req'd skills assessment. Employer will accept any amount of exp w/ req'd skills. Rate of pay: $165,000-$325,000/yr (may also be elig for other forms of compensation &amp; bnfts). Send resume to TS/HR Dept., Two Sigma Investments, LP, 100 Avenue of the Americas, 16th Fl, NY, NY 10013 or email resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> &amp; ref Job # 13180.

Data Scientist

IT: Two Sigma Investments, LP seeks Quantitative Researcher in NY, NY. Incls but not limited to research, formulate, dvlp, back-test &amp; compare predictive quantitative fin'l models using advanced math &amp; stat modeling skills. Apply data mining, pattern recognition, machine learning, optimization, linear algebra &amp; stat analysis incl generalized regression models, time series models &amp; NLP models to extract trading signals from extremely noisy &amp; unstructured data. Note: Co. "Hybrid" work attendance policy: In-office work attendance req'd at aforementioned office address for collab days based on each team's req'mt; telecommuting / working from home permissible for remainder of same month. Must have PhD or equiv in CS, Electrical Eng'g, Math, Stats, Physics or rel field. Position does not req specific yrs' exp but req's listed skills. Must have demonstrated knowl w/ stat data analysis on lrg datasets incl regression analysis, time series analysis, deep learning &amp; machine learning methods for building predictive models. Must have demonstrated knowl w/ NLP models. Must have demonstrated knowl w/ stat algorithms for handling latent variables or embeddings. Must have demonstrated knowl w/ rigorous design of experiments for method comparison &amp; model sensitivity/robustness analysis via simulations. Must have demonstrated knowl w/ model generalization via transfer learning. Must have demonstrated knowl w/ complex time series models. Must have demonstrated knowl w/ Python, R, SQL &amp; Linux operating sys. Must have demonstrated knowl in writing production quality code. Must have demonstrated knowl in probability, stats &amp; linear algebra. Must have demonstrated knowl in presenting &amp; publishing technl details in formal venues. Must pass co.'s req'd skills assessment. Employer will accept any amount of grad coursework, grad research exp or exp w/ req'd skills. Rate of pay: $165,000-$325,000/yr (may also be elig for other forms of compensation &amp; bnfts). Send resume to TS/HR Dept., Two Sigma Investments, LP, 100 Avenue of the Americas, 16th Fl, NY, NY 10013 or email resume to TS-Posting@ twosigma.com &amp; ref Job # 13259.

Quantitative Researcher

Statistical Programmer needed for Ephicacy Consulting Group, Inc located in Iselin, NJ to assist clients submission of statistical programming deliverables for single/ multiple studies located throughout the U.S. Positions require Master's degree in relevant filed along with relevant experience. Salary range from $144,000 to $145,000. Send resumes to: <a href="mailto:careersusa@ephicacy.com" target="_blank">careersusa@ephicacy.com</a>

Statistical Programmer

WPSD LOCAL6, the NBC affiliate in the 90th market seeks a talented Weekend Meteorologist.&nbsp; You’ll join a team that consistently receives recognition for life saving work during severe weather events.
You know WSI, every social media platform, are familiar with wall-to-wall “tag-team” weather coverage.&nbsp; You are congenial and collaborative, a team player. You are a graphic whiz and a great weather storyteller. You are warm, reassuring, conversational and credible.&nbsp;
We are The Weather Authority in our market.&nbsp; Tracking storms is quite simply the most important work we do.&nbsp; It is work that literally saves lives.&nbsp; Our team is absolutely committed to do whatever it takes to serve our viewers, on every platform better than anyone else.&nbsp;
You are an idea person, self-starter and ready to work in a high energy, competitive environment.&nbsp;
Degree in Meteorology or related science field and two years of experience preferred. We will consider talented entry level candidates. Send cover letter, resume and video link to Perry Boxx, News Director at&nbsp;<a href="mailto:pboxx@wpsdlocal6.com" target="_blank">pboxx@wpsdlocal6.com</a>.&nbsp;&nbsp;
WPSD-TV is an equal opportunity employer and does not discriminate on the basis of race, religion, color, sex, age, national origin, or disability.&nbsp;

PMG-WPSD

Weekend Meteorologist

Quantitative Researcher -- New York, NY. Research, design &amp; test predictive financial modeling systems by using advanced quantitative modeling &amp; statistical analysis skills in the application of computational &amp; analytical principles. Utilize quantitative analysis/research &amp; data science practices to research &amp; formulate testable hypotheses about equities markets. Min. requirements PhD Degree in Statistics, Applied Mathematics, or related quantitative field; OR in the alternative, Master's Degree in Stats, Applied Math, Math or related quant field + 3 years of experience in Quantitative Research &amp; Analysis types of position(s). For both sets of requirements must also have knowledge of: Ability to develop &amp; fine-tune statistical models; ability to perform statistical data analysis on large-scale data sets, including global equities market data, trading data, &amp; alternative data sources; Time series methods to analyze market price &amp; return data &amp; perform statistical tests about stationarity &amp; mean-reversion behaviors on time series data; Regression analysis &amp; statistical inference to understand correlations, tackle multicollinearity, &amp; analyze power of predictive features; Machine learning &amp; deep learning techniques including tree-based methods &amp; neural-network-based methods to explore non-linear relationships between predictive features &amp; market returns; Statistical modeling principles &amp; practices, incl. hypothesis formulation &amp; testing, application of various statistical modeling techniques, model selection &amp; validation via in-out-sample method, &amp; model diagnostics; ability to write code &amp; develop efficient algorithms to implement large-scale data analyses, computations, &amp; simulations; R &amp; Python; data analysis &amp; visualization libraries, incl. Pandas, NumPy, &amp; Matplotlib; &amp; Machine learning libraries, incl. Scikit-learn, TensorFlow, &amp; Keras. Must pass company's required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY 10013. Reference Job ID 13243

Quantitative Researcher - New York, NY. Apply quantitative (i.e. mathematics/statistics-based) research &amp; analysis/statistical analysis/data analysis skills, incl. estimation methods, time series analysis, &amp; machine learning methods to research, formulate, design, &amp; develop sophisticated predictive quantitative financial investment models used by company to trade fixed income credit instruments &amp; their derivatives in a variety of global markets. Min. requirements: PhD Degree in Statistics, Applied Mathematics, Mathematics or related quantitative field; OR in the alternative, Master's Degree in Stats, Applied Math, Math or related quant field + 3 years of experience as a Quantitative Analyst. For both sets of requirements must also have knowledge of: Empirical asset pricing &amp; factor models; Statistical analysis of time series data, panel data, &amp; cross-sectional data; Ability to analyze large-scale datasets &amp; perform data mining on financial data; Linear algebra &amp; linear/convex optimization; Machine learning; Quantitative research in credit markets, incl. corporate bonds &amp; credit-default-swaps; Credit default probability modeling using statistical predictive models incl. generalized linear models, nonparametric regression models &amp; tree-based models; Risk modeling incl. value-at-risk &amp; credit value-at-risk using factor models, clustering &amp; dimension reduction methodologies; &amp; Programming with Python &amp; SQL. Must pass company's required skills assessment. Base pay: $165k-$325k/year (does not include other forms of compensation/benefits). Note Hybrid work attendance policy: In-office work required at below office address for collaboration days based on each team's requirement; &nbsp;remote work permissible for remainder of same month. Send resume to <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> or mail to TS/HR Dept, Two Sigma Investments, 100 Ave of the Americas, 16 Fl, NY, NY &nbsp;10013. Reference Job ID 13242&nbsp; &nbsp;

TITLE: Research Associate in Entomology and Insect Ecology/Management
DEPARTMENT: College of Agriculture, Community, and the Sciences
REPORTS TO: Principal Investigator
EFFECTIVE DATE: Position will Remain Open until Filled
EMPLOYMENT STATUS: &nbsp;Full-time&nbsp;
EMPLOYMENT CLASSIFICATION:&nbsp;&nbsp;Exempt &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
Internal Candidates are Encouraged to Apply
Applicants must be authorized to work for any employer in the United States. At this time, Kentucky State University is unable to sponsor or take over sponsorship of an employment visa

PRINCIPAL PURPOSE OF JOB:&nbsp;The Research Associate will serve as a support person for the Entomology and Insect Ecology and Management Program, and will assist in developing, conducting, and managing field and Laboratory research for this program at Kentucky State University. &nbsp; The successful candidate will also help prepare manuscripts for publishing in journals and presenting relevant information at scientific meetings, in addition to Extension and outreach programming such as the KSU Third Thursday Sustainable Ag Workshops. &nbsp; &nbsp;

SCOPE OF RESPONSIBILITY:The successful candidate in this position will work closely with the principal investigator and be a member of a team conducting investigative field and laboratory research focusing on conservation biological control using native perennial plants to increase biodiversity of insect predators and parasitoids (i.e., natural enemies) to manage pest insects in vegetable and fruit crops. Specifically we are attracting several species of lady beetles, lacewings, big eyed bugs, minute pirate bugs, ground beetles and other predators and parasitoids of sweet corn pests to this and other crops. This position will also evaluate/develop sustainable methods of sweet corn insect pest management by conducting laboratory bioassays of flowering plants, weeds, and synthetic herbivore induced plant protection odors which may attract or repel beneficial insects.

This position involves designing and implementing, and maintaining field, laboratory, and greenhouse experiments. &nbsp;It involves setting up experiments, collecting, entering, and statistical analyses of data, assisting with development of manuscripts for publication, PowerPoints for presenting, plus training and supervising other researchers, graduate students, and undergraduates who are conducting research in the program. &nbsp;Experience operating farm machinery (ie. tractors, planters, cultivators, tine weeders, etc.) is preferred. &nbsp;Experience analyzing data using modern statistical software is essential as is fluency in all Microsoft Office Software. &nbsp;&nbsp;

ESSENTIAL JOB FUNCTIONS:
<ol>
<li>Conduct field experiments to determine attractancy of native perennial plants to predatory lady beetles, lacewings, big eyed bugs, minute pirate bugs, ground beetles and other predators and parasitoids of sweet corn, and other vegetable and fruit crop insect pests.</li>
<li>Design, implement, and maintain laboratory, field, and greenhouse experiments.</li>
<li>Design and implement demonstration plots at grower collaborator farms.</li>
<li>Carry out maintenance and management of experiments including plot preparation, planting, weeding, harvesting, seed purchases and detailed record keeping.</li>
<li>Collect, enter, and analyze data for statistical analyses.</li>
<li>Assist in developing manuscripts for publication.</li>
<li>Train, supervise, and mentor research assistants, graduate, undergraduate, and high school students conducting research in this program. &nbsp;</li>
<li>Cursory greenhouse maintenance and management for rearing native perennial plants.</li>
<li>Facilitate and conduct informational talks and tours at field days, national meetings and other events.</li>
<li>Conduct laboratory research using an olfactometer to quantify plant attractancy to insects &nbsp;</li>
<li>Other related duties as required.</li>
</ol>
OTHER DUTIES:&nbsp;The position will conduct other duties as required.

QUALIFICATIONS:&nbsp;Required: M.S. in Entomology, Environmental Science, Horticulture, Agriculture, Soil Science, Agronomy, or related area. &nbsp;One to three years of relevant experience preferred.
Licensing and Certifications:&nbsp; A valid driver’s license is required. Candidate will need to earn pesticide applicators licensethrough the University of Kentucky/Kentucky State University Cooperative Extension Service.
KNOWLEDGE, SKILLS, and ABILITIES:&nbsp;
<ol>
<li>Proficient use of stereoscopic dissecting and compound microscopes.</li>
<li>Be able to identify insects and plants by sight and by use of appropriate taxonomic keys.</li>
<li>Ability to use a personal computer and a variety of related office and statistical software applications.</li>
<li>Good knowledge and appreciation of program clientele.</li>
<li>Knowledge of research and educational capabilities of USDA and the Land Grant system knowledge base in the area of expertise.</li>
<li>Ability to communicate effectively, orally and in writing.</li>
<li>Research skills.</li>
<li>Ability to establish and maintain effective working relationships.</li>
<li>Ability to work independently.</li>
<li>Ability to work in teams and supervise.</li>
<li>Knowledge of farming practices desirable.</li>
<li>To have a valid driver’s license, have daily transportation, and ability to operate a motor vehicle.</li>
</ol>

PHYSICAL REQUIREMENTS:&nbsp;
<ul>
<li>Work involves operating and carrying field-based research equipment and instrumentation</li>
<li>Ability to carry at least 40 lbs</li>
<li>This job involves some travel to scientific meetings and to cooperator farms.</li>
</ul>
Revised: 05/31/2023

KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer
The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform. The College of Agriculture, Community, and the Sciences strives for inclusive excellence and is interested in qualified candidates who can contribute to this effort through their research, teaching, and/or Extension programs.

Research Associate in Entomology and Insect Management

TITLE: RESEARCH ASSISTANT
DEPARTMENT: College of Agriculture, Community and the Sciences
EFFECTIVE DATE: Position will Remain Open until Filled&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;
EMPLOYMENT STATUS:&nbsp;&nbsp; Full-Time&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;
EMPLOYMENT CLASSIFICATION: &nbsp;Non-Exempt
The following statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. 

SCOPE OF RESPONSIBILITY:
Under general supervision, conducts investigative research, laboratory research, and farm maintenance
requiring the application and analysis of standard tests, procedures, and abilities as defined by a particular
project.
ESSENTIAL JOB FUNCTIONS:&nbsp;
<ul>
<li>Maintain a laboratory notebook with accurate, reliable, and complete records.</li>
<li>Drive University/State vehicles Assists other research staff by performing standard designated procedures associated with experiments and/or projects.</li>
<li>Perform laboratory experiments in a field of agricultural/scientific research.</li>
<li>Analyze data from experiments; prepares graphics and text for presentation and publication.</li>
<li>Review up-to-date scientific literature extracting information relevant to ongoing, proposed, or possible research projects.</li>
<li>May assist in developing written progress reports. Apply appropriate quality controls to ensure validity and reliability of results; identify results which exceed recommended or desired tolerances.</li>
<li>Train student employees, graduate students and new research assistants in laboratory techniques and safety procedures; assists in coordinating work activities.</li>
<li>Maintain records as required.</li>
<li>Assist in maintenance of greenhouse, agricultural fields, etc.</li>
<li>Maintain inventory and maintain the laboratory in a clean and orderly manner.</li>
<li>Perform miscellaneous job-related duties and responsibilities as assigned.</li>
</ul>
QUALIFICATIONS:
Bachelor’s degree in Science, Agriculture or a related field; 1-2 years of experience directly related to the duties and responsibilities of the position.
KNOWLEDGE, SKILLS, and ABILITIES:&nbsp;&nbsp;&nbsp; 
<ul>
<li>Experience with planting and farm work.</li>
<li>Knowledge of scientific literature search processes and procedures.</li>
<li>Knowledge of research techniques, methods and procedures</li>
<li>Knowledge of data interpretation and analysis methods and techniques.</li>
<li>Knowledge of industry and government standards regarding laboratory techniques and safe&nbsp;handling of hazardous materials.</li>
<li>Knowledge of data presentation and organization methods and techniques.</li>
<li>Ability to interpret experimental data accurately.</li>
<li>Ability to communicate effectively, both orally and in writing.</li>
<li>Ability to maintain concise and accurate records.</li>
<li>Ability to understand and write highly technical data.</li>
<li>Ability to operate and maintain laboratory equipment.</li>
<li>Ability to perform experiments. Ability to set up laboratory experiments.</li>
<li>Ability to work within the guidelines of specific projects to gather and interpret experimental data.</li>
</ul>
PHYSICAL REQUIREMENTS:
<ul>
<li>Physical activity related to farming.</li>
<li>Requires handling of farming objects and equipment.</li>
<li>May involve standing and/or walking up to four (4) hours per day.</li>
<li>Must be able to work outside in Hot and Cold.</li>
<li>Laboratory environment; may have regular exposure to biological, radiation, chemical, and&nbsp;mechanical hazards, vapors, fumes, and temperature variations.</li>
<li>Some positions may include regular exposure to hazards associated with research animals.</li>
</ul>
KENTUCKY STATE UNVERSITY is an Equal Opportunity Employer
The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform.
KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer
The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform. The College of Agriculture, Community, and the Sciences strives for inclusive excellence and is interested in qualified candidates who can contribute to this effort through their research, teaching, and/or Extension programs.
KENTUCKY STATE UNIVERSITY is an Equal Opportunity Employer
The functions, qualifications, knowledge/skills, and physical requirements listed in this job description represent the essential duties of the job, which the incumbent must be able to perform either with or without reasonable accommodation. The Job Functions listed do not necessarily include all activities that the individual may perform. The College of Agriculture, Community, and the Sciences strives for inclusive excellence and is interested in qualified candidates who can contribute to this effort through their research, teaching, and/or Extension programs.

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