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Ecomm Senior Data Scientist w/ PepsiCo, Inc. in NY,NY. Leverage Python, SQL, &amp; web-scraping techniques to prep data for processing by organizing info, checking for inaccuracies using stat tools (t-test, F-test), &amp; adjusting &amp; weighting the raw data programmatically. Position reqs a Master's deg (U.S. or foreign equiv) in Data Sci, Stats, Comp Sci, Pysch, or a rel field. Prior exp must incl working know of the following skills gained through coursework or exp: Python incl Pandas, Scipy, Scikit-learn, Pytest, &amp; TensorFlow; SQL incl MySQL w/ snowflake; Pyspark; Github; web-scraping, incl Web API know &amp; scraping language incl selenium, scrapy, &amp; beautiful soup; Linux/Unix; Natural Language Processing, incl LDA &amp; sentiment analysis; Data Visualization incl Tableau, matplotlib, seaborn, &amp; plotly; stat modeling &amp; machine learning, incl KNN, regression analysis, classification &amp; clustering analysis, dimension reduction incl PCA/LDA; &amp; AWS, incl s3 bucket &amp; simple queue service. Telecommuting allowed w/in normal commuting distance from this office. Estimated salary $75,000 - $160,000/yr. Qualified Applicants: Visit <a href="http://www.pepsicojobs" target="_blank">http://www.pepsicojobs</a> com. Enter req ID: 202279 or job title. Click on matching job &amp; follow directions to submit resume.

Ecomm Senior Data Scientist

Senior Data Scientist, Strategy w/ Spotify USA Inc. Remote- Telecommuting role to be performed anywhere in the U.S. Drive bus decisions &amp; help tailor Spotify's offerings by analyzing &amp; interpreting stat data to identify significant differences in relationships among sources of info. Position reqs a Bach deg (U.S. or foreign equiv) in Stats, Math, Econ, Comp Sci, Comp Engg, or a rel field &amp; 6 yrs of exp in the job offered or in a rel role OR Master's deg (U.S. or foreign equiv) in Stats, Math, Econ, Comp Sci, Comp Engg, or a rel field &amp; 4 yrs of exp in the job offered or in a rel role. Must have 4 yrs of exp w/: mng data &amp; performing analysis using SQL &amp; Python; analyzing large data sets using Python or R; synthesizing analytical findings into actionable strategies using Google Sheets; dvlpng forecasts of the impact of bus initiatives; crafting clear &amp; accurate data visualizations; &amp; financial modeling incl LTV &amp; retention. Must have 2 yrs of exp w/: deploying &amp; maintaining data pipelines; writing data pipelines in BigQuery; dvlpng dashboards using Tableau; &amp; designing, setting up, &amp; analyzing complex tests using appropriate stat methods. Position reqs travel 10% of the time to Spotify's offices in London, UK &amp; Stockholm, Sweden. Salary: $153,412 - $230,118/ yr Qualified Applicants: Apply online at <a href="https://jobs.lever.co/spotify/e73ed785-" target="_blank">https://jobs.lever.co/spotify/e73ed785-</a> bea4-4341-bef8-0e4c20412003

Senior Data Scientist, Strategy

Social Finance Inc. seeks Sr. Data Scientist (Machine Learning) in New York, NY: Dvlp, implement &amp; continuously improve machine learning models &amp; strategies that support various credit &amp; operational procedures. Telecommuting an option. Req's: MS(or equiv.)+2 yrs. exp. Or BS(or equiv.)+5 yrs. exp. Salary: $185,000.00 - $212,750.00 per annum. Submit resume w/ ref. to: Req.# 22-128312 at: ATTN: Rae Myles, <a href="mailto:rmyles@sofi.org" target="_blank">rmyles@sofi.org</a>.

Sr. Data Scientist (Machine Learning)

The Director of Research / Principal Research Scientist of the MIT Center for International Studies will be responsible for overseeing research activities, data administration, visiting scholar engagement and fellowships. Research activities will include grant- and visitor-related research activities and engagements hosted by the Center, including the review and oversight of various awards. The individual will also maintain an active research agenda related to the mission of the Center. The Director of Research will report directly to the Center Director to develop a strategic approach to research initiatives and in consultation with other Center leadership to disseminate key findings to the MIT and broader communities.Minimum Required Education And Experience: Ph.D. in a social science field related to international affairs and a strong record of scholarly publication appropriate for number of years since receipt of the degree. At least two years of experience studying, working, and/or conducting research overseas. Minimum of 2 years of experience as a researcher at research universities or other research organizations (external to the candidate’s PhD-granting institution).The individual may need to travel up to 6 weeks / year for research, conferences, and exchanges. The individual may need to work up to 15 additional days and/ or nights/year for special events, workshops, etc. Deals with confidential information and/or issues using discretion and judgment.Preferred Education And Experience: Fluency in at least one foreign language. Advanced quantitative analysis and/or GIS analysis skills. Experience developing databases.

Director of Research and Principal Research Scientist, MIT Center for International Studies

eComm Sr Data Scientist, w/ PepsiCo, Inc. in NY, NY. Cnstrct bus-accssble data sci pltfrms &amp; discrete tools alngside an agile team of data scientists, data engrs, &amp; sftwre engrs. Req MS deg (US or forgn equiv) in Comp Sci, Data Sci, Data Anlytcs, Ops Rsch, or rel field. Must have wrkng kndg of follwng gained thru courswrk or exp: Python prgrmming &amp; mchine lrnng librries incldng scikit-learn, Git, shell script, &amp; SQL; Scala or PySpark; Linear Algbra, Stats, Probbilities, Mathemtcal prgrmmng, &amp; Optmztins; end-to-end knwldge data sci prblms, incldng hndling lrge-scale data w/ best prctics &amp; prcessing large-&amp; small-scale data; AWS, Azure, Databricks, Google Cloud Pltfrm, &amp; Snwflke data sci, &amp; machne lrnng svces; Non-strctrl data anlyss &amp; advncd mdling incldng text mining &amp; image procssng; deep lrning frmwrks incldng TensorFlow, Keras, &amp; PyTorch; on time series analysis &amp; anomaly dtction; dplying &amp; mnging prdction-grade Big Data systs; mentring jr data scientists; web scrapping &amp; machin lrning model dplymnt. Telecmmtg allowed w/in nrml commtng dist from this office. Est sal $134k - $180k/yr Qualified Applicants: Visit <a href="http://www.pepsicojobs.com" target="_blank">http://www.pepsicojobs.com</a> Enter req ID: 203146 into "Job Title or Keyword" field &amp; hit enter. Click on matching job&amp; follow directions to submit resume.

eComm Sr Data Scientist

Data Scientist, Kyndryl Inc., New York, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Research and proof out novel enterprise transformation projects. Identify operations improvement opportunities within the enterprise. Conduct feasibility studies to see if there are sufficient data resources to build an analytics solution. Formulate the project, design machine learning solution and experiment. Communicate informed conclusions and recommendations across the leadership structure, either through technical writing, protype, or a combination of both. Design and verify code to support novel neural network architectures. Define a repeatable development environment (typically with significant compute resources and storage capacity). Establish simple statistical baselines. Investigate state-of-the-art modelling solutions (recent solutions from the literature or novel approaches if no such published result is available for adaptation) using optimization. Apply peer code review to limit risks of incorrect design, improve code quality, and disseminate team learning. Deploy and maintain continuous learning pipelines. Componentize model continuous training process into portable, replaceable and reusable nodes with well-defined functionality and balanced node workload. Refine interface and behaviors common to all components. Create/define a communication protocol for the anticipated deployment environment. Provision the compute environment by defining the contents of a service container (e.g. Docker), a transportable environment that can be used in a client's multi-cloud environment. Relocate the setup machine physically or place the containerized model on a repository such as artifactory for downstream consumption. Utilize: matrix theory, numerical optimization, probability theory, statistical optimization algorithm, artificial intelligence, machine learning, Python and numerous numerical computing libraries. Required: Ph.D. in Engineering, Computer Science or related and one (1) year of experience as a Data Scientist, Applied Deep Learning Scientist or related. One (1) year of experience must include utilizing matrix theory, numerical optimization, probability theory, statistical optimization algorithm, artificial intelligence, machine learning, Python and numerous numerical computing libraries. $193,194.00 per year. Please send resumes to <a href="mailto:kyndrylrecruitad@kyndryl.com" target="_blank">kyndrylrecruitad@kyndryl.com</a>. Applicants must reference S298 in the subject line.

Data Scientist

Quantum Data Scientist, IBM Corporation, Armonk, NY and various unanticipated client sites throughout the US (Up to 100% telecommuting permitted): Work with internal Quantum start team on active exploratory research engagements to prepare for future use case commercialization within specific industry. Interact with client data science teams to explore promising areas for quantum. Implement quantum approaches, which includes data pre/post processing, running numeric and visualizing data. Collaborate with industry and solutioning experts to design and shape experiments to demonstrate quantum-enabled advantage. Contribute best practices related to information architecture, including collection, integration, organization, analysis, and visualization of data for quantum-enabled impact. Support practice development initiatives focused on building employee knowledge and skills in specific areas of expertise through coaching and development of training course material. Utilize: Python (NumPy, SciPy, Pandas), Scikit-learn, XGBoost, Jupyter, Matplotlib and Cloud Computing. Required: Master's degree or equivalent in Physics, Engineering 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 Analytics Consultant, Data Scientist or related. One (1) year of experience must include utilizing Python (NumPy, SciPy, Pandas), Scikit-learn, XGBoost, Jupyter, Matplotlib and Cloud Computing. $163,959.00 per year. Please send resumes to <a href="mailto:recruitad@us.ibm.com" target="_blank">recruitad@us.ibm.com</a>. Applicants must reference M120 in the subject line.

Quantitative Researcher - Two Sigma Investments, LP (NY, NY): Incls but not limited to Use advanced quantitative modeling &amp; stats analysis skills to research, design &amp; dvlp advanced quantitative investment strategies. Apply stats analysis, optimization techniques, &amp; machine learning algorithms to research, analyze, design, &amp; eng'r sophisticated quantitative/math- based predictive models for making fin'l investment decisions. Must have Master's or equiv in Stats, Ops Research, Eng'g, CS, Math, or rel field; OR Bachelor's or equiv in Stats, Ops Research, Eng'g, CS, Math, or rel field + 2 yrs exp in Quantitative Research w/i field of systematic Fin'c, or rel exp. Must have demonstrated knowl of stats &amp; time series analysis incl regression analysis, principal component analysis. Must have demonstrated knowl of Bayesian stats, decision trees &amp; neural networks. Must have demonstrated knowl of probability theory &amp; linear algebra. Must have demonstrated knowl of optimization theory &amp; algorithms, incl linear &amp; non-linear optimizations, convex optimizations, &amp; app in machine learning &amp; portfolio optimizations. Must have demonstrated knowl of Machine learning &amp; apps in quantitative fin'c. Must have demonstrated knowl of Numerical optimization techniques &amp; Monte Carlo simulations. Must have demonstrated knowl of how to identify, visualize &amp; validate stats patterns in lrg fin'l datasets. Must have exp conducting academic research in highly quantitative field of science as evidenced by publication of research work in academic peer-reviewed journal. Must have exp writing highly reliable &amp; efficient comp programs in python/Java, as well as numerical pkgs incl Pandas/NumPy. 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 - $300,000/yr (may also be eligible 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 # 11671.

Quantitative Researcher

Quantitative Researcher - New York, NY. Perform Alpha research on short &amp; long horizon forecast models to identify trading opportunities thru liquidity across diff tactics in market-making busns. Min reqs: PhD in Finance, Math, Statistics or Computer Sci (OR Master's in same fields + 3 yrs of exper in Quant Research positions) + knowlge of the follwg: cleaning, modifying &amp; analyzing large-scale datasets ( stats modeling of large-scale data incl advanced stats &amp; time-series models; building neural network or other machine learning models using features from diff data sources; Calculus, Probability Theory, Linear Algebra &amp; Stochastic Calculus; math optimization incl designing optimization utility functions &amp; analyzing optimized parameters; Bash, Python &amp; C; data analysis packages incl Python NumPy, pandas, SciPy, matplotlib &amp; scikit-learn; processing large-scale datasets ( via distributed computing tools incl PySpark; knowledge of US securities markets eg equities &amp; options markets (can be satisfied through passing of CFA Level 1 exam). Must pass firm's reqd skills assmt. Base salary range: $165-300k per year (does not include other forms of compensation or benefits). 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 6 Ave, 16 Fl, NY, NY 10013. Ref Job ID #11768

Data Scientist @ Stripe, Inc. (New York, NY and various unanticipated locations across the US) The Data Scientist, Banking and Financing Products team is responsible for providing data support to the Stripe Banking as a Service (BaaS) group. Job req's Master's degree in Quantitative field &amp; 3 yrs of exp in any job title/occ inv data science role or rltd fld. Salary: $152,270.40-$212,777.60/year. To be considered, applicants must send resume to <a href="mailto:ad-reply@stripe.com" target="_blank">ad-reply@stripe.com</a> ref job code 3696453.

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