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IT company req. Data Scientist w/t MS in Information Technology, or Computer Science or Engineering, or closely related disciplines + 1 years of work exp. (in lieu will accept BS in Information Technology, Computer Science or Information Systems + 5 years of exp.) in job offered or closely related disciplines to identify data driven strategies across the IT infrastructure; create ETLs through SPARK-SQL Hive for daily job to process incoming data; create EMR cluster for extensive data analysis with SPARK, track weblogs based on events, browsing patterns and histories; Use various types of analytics tools to detect patterns, trends, and relationships in data sets, Develop process mapping of current and future business processes. Full time 40 hrs. 9:00 AM to 5:00 PM M-F; should be able to work anywhere in the U.S apply to: Ammaluit Corp 3100 47th Avenue #3100 LIC NY 11101 - <a href="mailto:suresh@ammaluit.com" target="_blank">suresh@ammaluit.com</a>

Data Scientist

IT: Two Sigma Investments, LP seeks Quantitative Researcher in NY, NY. Incls but not limited to research, dvlp, &amp; back-test quantitative execution planning models by using stat analysis &amp; machine learning methods. Keep up w/ literature in quantitative fin'c, asset pricing &amp; machine learning by reading journal articles &amp; attending academic talks. 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 Stats, Math, Physics, CS, Economics or rel field; OR Bachelor's or equiv in Stats, Math, Physics, CS, Economics or rel field + 2 yrs' exp in Quantitative Research or rel exp. Must have demonstrated knowl w/ numerical prog'g skills: Using libraries like NumPy, SciPy &amp; Scikit-learn for efficient numerical computations. Must have demonstrated knowl w/ Python: leveraging advanced features &amp; libraries for streamlined coding. Must have demonstrated knowl w/ machine learning algorithms: Skilled in tweaking &amp; optimizing machine learning algorithms for enhanced performance. Must have demonstrated knowl w/ applied machine learning: Exp in applying machine learning techniques to real-world fin'l datasets effectively. Must have demonstrated knowl w/ stat methods: Well-versed in stat theories &amp; methods, applying them to quantitative research. Must have demonstrated knowl w/ parallel computing: capable of using parallel computing to boost computational efficiency &amp; reduce processing time. Must have demonstrated knowl w/ writing production quality code: Able to write robust, scalable &amp; maintainable code for production environs. Must have demonstrated knowl w/ data visualization: Skilled in creating clear &amp; impactful visualizations to communicate complex data insights. 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 <a href="mailto:TS-Posting@twosigma.com" target="_blank">TS-Posting@twosigma.com</a> &amp; ref Job #13457.

Quantitative Researcher

Quantitative Researcher - New York, NY. Perform quant research &amp; analysis of financial markets; formulate quant investment ideas &amp; trading strategies. Minim requirements: Master's Degree in Math, Statistics, Computer Sci or related quant field + knowledge of: probability theory &amp; statistical techniques incl. statistical estimation, hypothesis test development, multiple hypothesis testing, selective inference, decision analysis, supervised learning, data augmentation strategies, Monte Carlo methods &amp; Bayesian techniques in statistical inference; linear modeling incl. linear regression &amp; generalized linear models (logistic, Poisson, multinomial); data structures, algorithms, dynamic programing &amp; complexity analysis to facilitate implementation of efficient computer programs in theory; linear algebra &amp; real analysis incl. abstract vector spaces &amp; spectral analysis (eigen-decompositions); quant data analysis &amp; pattern recognition techniques incl. multivariate regression, boosting, hidden Markov models, time- series analysis, discriminative &amp; generative models, support vector machines &amp; neural networks, and model validation techniques incl. cross- validation; Python libraries for data analysis &amp; machine learning (NumPy, SciPy, Scikit-learn, statsmodels, PyTorch, MatPlotLib, Pandas). 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. Ref Job ID 13458

Associate Principal Scientist, Life Sciences w/Pepsi-Cola Technical Operations, Inc. in Purchase, NY. Provide nutritional &amp; policy expertise to inform PBNA (PepsiCo Beverages North America) Portfolio of the Future workstreams w/in beverages. Position reqs a Master's deg (U.S. or Foreign Equiv) in Public Health, Nutritional Sci, or Food Sci &amp; 7 yrs of exp in job offered or rel roles w/ subject matter expertise in health &amp; nutrition scis. Must have 5 yrs of exp in: Dvlpng &amp; interpreting sci literature to ensure integrity of clinical studies for functional ingredients; Analyzing &amp; interpreting public policy, incl anticipated shifts thru partnership w/ trade associations; &amp; Planning, dvlpng, &amp; executing educational materials for healthcare or R&amp;D prof'ls. Must have 3 yrs of exp in: Translating sci into on-pack claims that resonate w/ consumers. Must have 6 mos of exp in: Creating &amp; executing a research based, multi-yr sweetener strategic roadmap. *Telecommuting permitted 20%: work may be performed w/in normal commuting distance from the Pepsi-Cola Tech Operations, Inc. office in Purchase, NY. *Travel Reqd: 20% Domestic. Sal: $120,058-$138,000/yr. QUALIFIED APPLICANTS: Visit <a href="http://www.pepsicojobs.com" target="_blank">http://www.pepsicojobs.com</a> &amp; search req ID # 397715 or job title. Click on matching job &amp; follow directions to submit resume.

Associate Principal Scientist, Life Sciences 

IT: Two Sigma Investments, LP seeks Quantitative Researcher in NY, NY. Incls but not limited to apply quantitative fin'l analysis/stat analysis/data analysis skills, incl estimation methods, time series analysis &amp; machine learning methods to research, formulate, design &amp; dvlp sophisticated predictive quantitative fin'l investment models &amp; fin'l trading strategies to trade futures, fixed income instruments &amp; derivatives in variety of global mkts. Research, design &amp; dvlp production-quality, high-reliability, highly tuned numerical quantitative code using complex fin'l linear algebra, stat modeling &amp; numerical optimization techniques. 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 Fin'l Eng'g, Stats, Math in Fin'c, Applied Physics, CS or rel field + 3 yrs' exp in Quantitative Research or rel exp; OR. PhD or equiv in Fin'l Eng'g, Stats, Math in Fin'c, Applied Physics, CS or rel field. Must have demonstrated knowl of following quantitative research &amp; analysis skills: quantitative fin'c &amp; fin'l mkts; modern portfolio theories (incl portfolio optimization &amp; portfolio construction) &amp; risk modeling. Must have exp w/ stat analysis of time series data, panel data, &amp; cross-sectional data. Must have exp working in fixed income mkts. Must have exp w/ analyzing lrg-scale fin'l datasets; linear algebra, probability, stats, machine learning &amp; convex optimization. Must have exp prog'g w/ Python, Matlab, &amp; dbase tools (SQL). Must have exp w/ utilizing machine learning libraries &amp; frameworks (e.g., pytorch, scikit-learn). Must have exp w/ conducting rigorous independent scientific research. Must have exp w/ designing &amp; implementing back-testing frameworks. Must have exp w/ data cleaning, preprocessing, &amp; transformation. Must have exp in portfolio risk mgmt, factor analysis, &amp; risk estimation. 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 #13339.

IT: Two Sigma Investments, LP seeks AI Research Scientist in NY, NY. Incls but not limited to use latest machine learning tools to analyze lrg datasets relevant to trading US equities using Python. Build infrastructure to train models using hundreds of computers on cloud infrastructure. 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 Bachelor's or equiv in Math, Stats, Electrical Eng'g, CS or rel field + 3 yrs' exp in AI research or rel exp OR Master's or equiv in Math, Stats, Electrical Eng'g, CS or rel field + 1 yr exp in AI research or rel exp. Must have exp w/ prog'g in Python &amp; C++. Must have exp w/ prog'g in Linux sys's (Bash Scripting). Must have exp w/ Cloud environs (e.g. Google Cloud Platform). Must have exp w/ applied machine learning to lrg amounts of noisy data. Must have exp w/ machine learning pkgs (e.g. TensorFlow, PyTorch). Must have exp w/ code version control (Git). Must have exp w/ machine learning techniques &amp; model architectures. Must have exp w/ stat learning algorithms. Must have exp w/ timeseries analysis. Must have exp w/ convex &amp; non-convex optimization. Must have exp w/ lrg-scale optimization. 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 your 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 #13410.

AI Research 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.

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 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.

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